\r\n\tb) how a concentrated attention focus on screens (i.e., tablets and smartphones) could result in a total activity absorption and a flow experience; \r\n\tc) teens' preference for media social interaction appears to be closely associated with impaired modes of mood regulation; \r\n\td) the web activities as factors of externalized and/or internalized risks; \r\n\te) the implementation of health promotion interventions by Internet Apps; finally, \r\n\tf) the cross-cultural differences and similarities about teen approaches to the web around the world.
\r\n
\r\n\tThis book intends to provide the reader with an overview of studies with a research topic that is crucial today: the need to integrate teens' use of the web into the processes contributing to determine adolescents' developmental trajectories and Quality of Life.
",isbn:"978-1-83969-594-0",printIsbn:"978-1-83969-593-3",pdfIsbn:"978-1-83969-595-7",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!0,hash:"f005179bb7f6cd7c531a00cd8da18eaa",bookSignature:"Prof. Massimo Ingrassia and Prof. Loredana Benedetto",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/10671.jpg",keywords:"Media Multitasking, Brain Development, Optimal-Experience Conditions, Digital Media Use, Mood Self-Regulation, Social Networking, Health Risk Behaviors, Internalizing/Externalizing Risk, Health Behaviors, Prevention, Cross-Cultural Research, Teen",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"February 25th 2021",dateEndSecondStepPublish:"March 24th 2021",dateEndThirdStepPublish:"May 23rd 2021",dateEndFourthStepPublish:"August 11th 2021",dateEndFifthStepPublish:"October 10th 2021",remainingDaysToSecondStep:"21 days",secondStepPassed:!1,currentStepOfPublishingProcess:2,editedByType:null,kuFlag:!1,biosketch:"Massimo Ingrassia is Director of the Post-graduate Advanced Studies in Palliative care and pain management for psychologists and a scientific advisor in research projects assessing psychological adjustment and therapeutic adherence in chronic illness. He was the author or co-author of several articles, and editor of the books on Parenting.",coeditorOneBiosketch:"Loredana Benedetto, Ph.D., is a psychologist and professor of Developmental and Educational Psychology at the Department of Clinical and Experimental Medicine, University of Messina. She was a scientific consultant for projects supporting families of the disabled and interventions in pediatric palliative care.",coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"193901",title:"Prof.",name:"Massimo",middleName:null,surname:"Ingrassia",slug:"massimo-ingrassia",fullName:"Massimo Ingrassia",profilePictureURL:"https://mts.intechopen.com/storage/users/193901/images/system/193901.png",biography:"Massimo Ingrassia, PsyD, is an Associate Professor of Developmental and Educational Psychology at Messina University, Italy, where he teaches graduate and postgraduate courses in Health Psychology. He is the Director of the postgraduate advanced studies in Palliative Care and Pain Management for Psychologists. His research interests include risk behaviors in adolescence and emerging adulthood, childhood development and digital technologies, pediatric palliative care and family resilience, and quality of life and chronic diseases. Dr. Ingrassia is also a scientific advisor for research projects assessing psychological adjustment and therapeutic adherence in chronic illness. 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\n
1. Introduction
\n
Bioremediation is the process that deals with the microbial degradation of hazardous compounds from environment. The process of bioremediation is the natural process of biodegradation, which can degrade the pollutants and sometimes can completely oxidize the compound. Microorganisms play the vital role in the process of bioremediation and biodegradation because of their great metabolic diversity, which includes the ability to metabolise these pollutants [1]. The degradation of toxic compounds to less harmful forms with the use of biological systems is called as bioremediation [2]. Bioremediation is limited in the number of toxic material, it can handle but where applicable it is cost effective and ecofriendly [3]. Today, water resources have been the most exploited of the natural systems, most of our water bodies are seriously polluted due to rapid population growth, industrial proliferation, urbanizations, increasing living standards and wide spheres of human activities. Many rivers of the world receive heavy flux due to industrial effluents [4]. The wastewater consisting of substances varying from simple nutrients to highly toxic hazardous chemicals, which when used for irrigation caused both beneficial and damaging effects to various crops including vegetables [5].
\n
The awful consequence of increasing population along with an rapidly increase in the industrial field is a major concern of pollution in the environment. Water is necessary for irrigation to increase the productivity in agriculture. Industrial effluents already pollute most of the Indian rivers. Many industries are playing the crucial role in water pollution such as textile industries, dairy industries and distillery etc. Distilleries are the major agro-based industries, which utilize molasses as raw material for the production of rectified spirit. In addition to rectified spirit, distilleries also produce ethanol, which can be mixed with diesel and used as biofuel and helps in reducing import of crude oil thereby saving foreign exchange [6]. In the year 1999, there were 285 distilleries in India producing 2.70 × 109 L of wastewater each year [7]. This number has gone up to 319 producing 3.25 × 109 L of alcohol and generating 4.04 × 1011 L of wastewater annually [8] and this effluent or spent wash is a major source of aquatic and soil pollution [9]. The spentwash is highly acidic in nature and has a variety of recalcitrant coloring compounds as melanoidins, phenolics and metal sulfides that are mainly responsible for the dark color of distillery effluent. The pH of spentwash increases from 4.5 to 8.5 during the anaerobic treatment process and finally it is called as post methanated distillery effluent (PMDE). The spentwash is a waste having very high biochemical oxygen demand (BOD; 35,000-40,000 mgL-1), chemical oxygen demand (COD; 90,000-1,10,000 mgL-1), total solids (TS; 82,480 mgL-1), nitrogen (2,200 mgL-1), phenolics (4.20 mgL-1) and sulphate (3,410 mgL-1). In addition to these contaminants, several heavy metals (Cd, Mn, Fe, Zn, Ni and Pb) are also present. The spentwash primarily undergoes anaerobic treatment process which converts a significant proportion (>50%) of the BOD and COD. However, different biochemical changes in the spentwash occur during anaerobic digestion. There is formation of significant amount of hydrogen sulfide (H2S) as a result of the reduction of oxidized sulfur compound. Sulfide binds with the heavy metals present in the effluent and forms a colloidal solution of metal sulfide colorant [10]. This massive quantity, approx. 40 billion litres of effluent, if disposed untreated can cause considerable stress on the watercourses leading to widespread damage to aquatic life. Moreover, the oxygen is also exhausted giving death of fishes and other aquatic life. This wastewater is extremely harmful to the plants. Cane molasses contained around 2% of dark brown pigment melanoidins [11]. Dark brown color hinders photosynthesis by blocking sunlight and is therefore deleterious to aquatic life [12-14]. It reduces soil alkalinity and inhibits seed germination. Further due to the possibility of complexation reaction of introduced melanoidins with metal ions, they could influence the biogeochemical cycle of many constituents in natural water [14], which are highly resistant to microbial attack. Hence, the wastewater requires pretreatment before its safe disposal into the environment [15, 16].
\n
This book chapter contributes and summarizes the literature available on the structure, nature and properties of melanoidins. Besides these, the important part of this chapter involves role of bacteria, fungi, yeast and algae helps in biodegradation of melanoidins and also the enzymes involved in the degradation of melanoidins. Therefore, this chapter has a major significance in the prevention of environmental pollution.
\n
\n
\n
2. Nature of melanoidins
\n
Melanoidins are natural, dark brown, complex biopolymers produced by non-enzymatic browning reactions called as Maillard amino-carbonyl reaction taking place between the amino and carbonyl groups in organic substances [17, 18]. It is considered that melanoidins extensively exist in food, drinks and wastewater released from distillery and fermentation industries. Melanoidins exist not only in various foods but also in various industrial wastes e.g. distillery and sugar mill wastes [16]. Melanoidins owing to their structural complexity, dark color and offensive odour pose threat to aquatic and terrestrial ecosystem. Currently, the most visible environmental problem caused by contamination with melanoidin compounds is eutrophication in natural water bodies, reduction of sunlight penetration leading to decreased photosynthetic activity and dissolved oxygen concentration in lakes, rivers or lagoons [19, 20]. Therefore, the degradation and decolorization of molasses melanoidin by chemical [21] and biological means [20, 22] has been attempted in order to characterize the chemical structure and bioremediation aspects.
\n
Melanoidins are generated through the maillard reaction. Maillard reaction is known to proceed non-enzymatically between amino and carbonyl groups of organic matter [13, 14, 17, 18, 23] and are closely related to humic substances in the natural environment [24]. There are two important pathways in the non-enzymatic browning of food i.e. caramelization and maillard reaction. That leads to the formation of volatile aromatic compounds, intermediate nonvolatile compounds, and brown pigments called melanoidins. Since they are highly resistant to microbial attack, the conventional biological processes are inapplicable to color removal from melanoidin containing wastewater from distillery [13].
\n
Melanoidins have physiologically positive effects such as anti-oxidative activity including strong scavenging activity against reactive oxygen species [13, 25]. Miyata et al. [26] in their studies attempt to utilize the strong oxidizing activity of a white rot fungus Coriolus hirsutus to decolorise melanoidins, which is a main color component of heat treatment liquor of sewage sludge. This reaction occurs in many situations, in foods [27], in\n\n vivo, and in soil. Melanoidins, which are the final by-products of the reaction, are brown nitrogen containing polymers that are difficult to decompose. The formation of melanoidins is affected by the reactants and their concentrations, types of catalysts and buffers, reaction temperature, time, pH value, water activity, presence of oxygen and metal ions. During heat treatment, the maillard reaction accompanied by formation of a class of compounds known as maillard products. The reaction proceeds effectively >50 ºC and is favoured at pH 4 to 7 [28]. Recently, the empirical formula of melanoidins has been suggested as C17-18H26-27O10N [13]. The basic structure of melanoidin is given in Figure 1 [29]. The molecular weight distribution is between 5-40 kDa. It consists of acidic, polymeric and highly dispersed colloids, which are negatively charged due to the dissociation of carboxylic acids and phenoilc groups [30]. Due to their antioxidant properties, melanoidins are toxic to many microorganisms involved in wastewater treatment [31]. Melanoidins and their degradation are generally recalcitrant to biodegradation due to their complex structure and xenobiotic nature and in some cases are both mutagenic and carcinogenic [14]. Melanoidins behave as anionic hydrophilic polymers, which can form stable complexes with metal cations and reported that ketone or hydroxyl groups of pyranone or pyridone residues act as donor groups in melanoidins and participate in the chelation with metals as melanoidins have net negative charge and therefore, different heavy metals (Cu2+, Cr3+, Fe3+, Zn2+, Pb2+, etc.) form large complex molecules with melanoidins, amino acids, proteins and sugars in acidic medium and get precipitated [14, 32].
\n
Figure 1.
Basic structure of melanoidins [29].
\n
Miura et al. [33] have reported the formation of colored compounds formed in the maillard reaction between D-xylose and glycine. These pigments turned brown with decomposition, so they had been postulated to be important intermediates in the generation of melanoidins. Hayase et al. [34] have reported the identification of the novel blue pigment designated as Blue-M1. These consist of four molecules of D-xylose and glycine, and also have methine proton between two pyrrolpyrrole rings. In the initial stage of maillard reaction, disaccharides form a Schiff base with amino groups of amino acids and are subsequently transformed via the Amadori rearrangement product [35, 36].
\n
\n
\n
3. Degradation of melanoidin polymer
\n
Waste treatment methods aim the removal of unwanted compounds in wastewater for safe discharge into environment. Various technologies have been used for reducing the pollution load from distillery wastewater, which included physico-chemical treatment (Adsorption, Coagulation and flocculation, Oxidation process, Membrane treatment, Evaporation/combustion) and biological treatment (Figure 2) [37].
\n
Figure 2.
Various methods of melanoidin degradation.
\n
Adsorption techniques for wastewater treatment have become more popular in recent years. Among the physico-chemical processes, adsorption technology is considered to be one the most effective and proven technology having potential application in both water and wastewater treatment. Adsorption is a rapid phenomenon of passive sequestration and separation of adsorbate from aqueous/gaseous phase on to solid phase [38]. Decolorization of synthetic melanoidin using commercially available activated carbon as well as activated carbon produced from sugarcane bagasse was investigated by Bernardo et al. [39]. Activated carbon is a well known adsorbent due to its extended surface area, microporous structure, high adsorption capacity and high degree of surface reactivity. Previous studies on decolorization of molasses wastewater include adsorption on commercial as well as indigenously prepared activated carbons [40]. Coagulation involves the destabilization of colloidal particles (e.g. mineral colloids, microbial cells, virus particles) and sometimes by coagulant aids (e.g. activated silica, bentonite, polyelectrolytes, starch) [41]. Coagulation of the wastewater containing recalcitrant pollutants is practiced through use of conventional salts of aluminium and iron as coagulants [42]. Migo et al. [43] used a commercial inorganic flocculent, a polymer of ferric hydroxysulfate with a chemical formula [Fe2 (OH)n (SO4)3-n/2]m for the treatment of molasses wastewater.
\n
A study comparing the efficiency in decolorising biologically pretreated molasses wastewater of different oxidation processes using ozone, single hydrogen peroxide, Fenton’s reagent and ozone combined with hydrogen peroxide has been performed. Ozone treatment was able to reduce about 76% of color. A combination of ozone with a low concentration of hydrogen peroxide was able to increase the color removal efficiency up to 89%. Gel permeation chromatography corroborated the reduction in the concentration of chromophore groups responsible for wastewater color. Single hydrogen peroxide and Fenton’s reagent were not able to reduce the color. Bicarbonate ions were found to be strong inhibitors of decolorising reactions [44]. Kumaresan et al. [45] employed emulsion liquid membrane (ELM) technique in a batch process for spentwash treatment. Water-oil-water type of emulsion was used to separate and concentrate the solutes resulting in 86% and 97% decrease in COD and BOD, respectively. Electrodialysis has been explored for desalting spentwash using cation and anion exchange membranes resulting in 50-60% reduction in potassium content [46]. During treatment of winery and distillery wastewater by natural evaporation in ponds, formation of malodorous compounds induces harmful olfactory effects. The organic compounds are oxidised to CO2 and the nitrate is reduced to N2 (odourless compounds), without VFA formation. The preventive treatment of odours by nitrate addition was tested on an industrial scale in winery and distillery ponds [47]. Molasses spentwash containing 4% solids can be concentrated to a maximum of 40% solids in a quintuple-effect evaporation system with thermal vapor recompression [48, 49]. Combustion is also an effective method of on-site vinasse disposal as it is accompanied by production of potassium-rich ash [50] that can be used for land application.
\n
Although many techniques have been explored for the treatment of melanoidins but they all are cost effective and produce large amount of sludge. So, to overcome these problem biological methods plays a crucial role in treatment of the melanoidins.
\n
\n
\n
4. Biological methods for the treatment of distillery effluent
\n
Microorganisms (bacteria/fungi/actinomycetes) due to their inherent capacity to metabolize a variety of substrate have been utilized since long back for biodegradation of complex, toxic and recalcitrant compounds, which cause severe damage to environment. Thus, these organisms have been exploited for biodegradation and decolorization of melanoidin pigment present in industrial wastes especially from distillery and fermentation industry. Biological treatment of molasses wastewater undergoes two subdivisions which include anaerobic treatment and aerobic treatment.
\n
Anaerobic treatment is an accepted practice, and various high rate reactor designs have been tried at pilot and full scale operation. Aerobic treatment of anaerobically treated effluent using different microbial populations has also been explored. Majority of biological treatment technologies remove color by either concentrating the color into sludge or by partial or complete breakdown of the color molecules. These methods are discussed in detail in the following section.
\n
\n
4.1. Anaerobic treatment /reactors
\n
In the anaerobic treatment of wastewater, the energy is extracted from the waste components without the introduction of air or oxygen. The anaerobic treatment of wastewater has now emerged as an energy saving wastewater treatment technology. It involves biological processes that take place in the absence of oxygen and in which organic materials are degraded to produce biogas [51]. Molasses wastewater treatment using anaerobic process is a very promising re-emerging technology, which presents interesting advantages as compared to classical aerobic treatment. It produces very little sludge, requires less energy and can be successfully operated at high organic loading rates; also, the biogas thus generated can be utilized for steam generation in the boilers thereby meeting the energy demands of the unit [52].
\n
In India, the traditional method for this type of wastewater treatment involved sequestration in anaerobic lagoons during the dry season, followed by release in to the river. Anaerobic lagoons afford the simplest form of treatment to distillery effluent. Drawbacks of such form of treatment are the requirement of large land area, odour nuisance, and chances of ground water pollution. Since the development of the UASB process in the 1970s, this process has been widely applied for the treatment of industrial effluents. Effluents from alcohol producing industries are mostly highly polluted and therefore in principle very suitable for anaerobic treatment. Distilleries use different kinds of raw materials such as sugar cane juice, sugar cane molasses, sugar beet molasses, wine or corn for the production of alcohol [40]. The use of different materials and the different processes applied, resulted the production of wide variety of effluent. The process conditions under which good results of the anaerobic process are obtained depend heavily on the type of distillery effluent being treated. The choice of the right set of process parameters for every type of distillery effluent has shown to be of crucial importance for the anaerobic process. Bhoi et al. [53] worked on treatability studies of black liquor by upflow anaerobic sludge blanket reactor. This was deals with the feasibility studies of anaerobically treated black liquor along with the readily degradable synthetic wastewater (SWW) in a bench-scale upflow anaerobic sludge blanket reactor (UASBR). Treatment has been carried out in four phases of operation. In the first phase, 100% of SWW prepared from molasses was used. In the other phases of operation, 10%, 20%, and 30% of the SWW chemical oxygen demand (COD) was replaced by Black liquor COD successively. In each of the operation phases, the composition of the feed was not changed until COD reduction and gas production were stabilized. The entire operation took 509 days. The results indicate that the COD removal efficiency exhibited a decreasing trend with increase in the percentage of black liquor and apparently, UASB cannot be used as a treatment option for SWW containing more than 20% black liquor. Farhadian et al. [54] studied the treatment of strong beet sugar wastewater by an upflow anaerobic fixed bed (UAFB) at pilot plant scale. Reactors filled with standard industrial packing and inoculated with anaerobic culture (chicken manure, cow manure, anaerobic sludge digested from domestic wastewater) at 32-34 °C with 20 hrs hydraulic retention time (HRT) and influent COD ranging between 2000-8000 mgL-1 showed the efficiency of organic content reduction in the reactor ranged from 75% to 93%. The reactor filled with standard pall rings made of polypropylene with an effective surface area of 206 m2m-3 performed best in comparison to the reactor filled with cut polyethylene pipe 134 m2m-3 and reactor filled with PVC packing (50 m2m-3). There was 2-7% decrease in efficiency with PE while it was 10-16% in case of PVC when compared to standard pall rings. Distillery waste tertiary treatment in a laboratory stabilization pond was evaluated. Effluents from a combined laboratory-scale anaerobic filter-aerobic trickling filter process were used as the influent. The effect of the hydraulic retention time (HRT) in the range of 5 - 30 days was evaluated at influent total chemical oxygen demand (TCOD) in the range of 271 - 5286 mgL-1 (BOD5 in the range of 66-1212 mgL-1). TCOD and BOD5 removals of up to 54% and 74%, respectively, were obtained for the most concentrated influent used at 30 days of HRT. The effect of the HRT on TCOD and BOD5 removal efficiencies followed an exponential relationship. An empirical equation adequately described the effect of the organic surface-loading rate on the process efficiency.
\n
The pond acted as an intermediate flow pattern between completely mixed flow and plug-flow. It was found that a second-order model fit in well with the experimental results of organic matter removal rate and effluent substrate concentration. The second-order kinetic constant was found to be KS = 0.23 mg BOD5/mg TSS day. The proposed model accurately predicted the behaviour of the pond showing deviations between the experimental and theoretical values of effluent substrate concentrations equal to or lower than 11% [55]. Sharma et al. [56] worked on the effect of nutrients supplementation on anaerobic sludge development and activity for treating distillery effluent. Startup of laboratory anaerobic reactors and treatment efficiency were investigated by supplementing the distillery effluent feed with macronutrients (Ca, P) and micronutrients (Ni, Fe and Co) under mesophilic conditions. Calcium and Phosphate were detrimental to the treatment efficiency and sludge granulation. Traces of salt of Iron, nickel and cobalt individually and in combinations improved the COD removal efficiency and sludge granulation process.
\n
Driessen et al. [57] studied on the anaerobic treatment of distillery effluent with the UASB process Special attention was given to the treatment of effluents from sugar cane based distilleries with very high COD concentration of 60000 to 160000 mg COD. Despite expected toxicity problems. On the other hand, two identical UASB reactors operated in parallel as duplicates for 327 days for the treatment of malt whisky pot ale and achieved COD reductions of up to 90% for influent concentrations of 3526-52126 mgL-1. When the OLRs of 15 kg m-3 day and above were used, the COD removal efficiency dropped to less than 20%. A mesophilic two stage system consisting of an anaerobic filter (AF) and an UASB reactor was found suitable for anaerobic digestion of distillery waste, enabling better conditions for the methanogenic phase [58]. Immobilization of bacteria in biofilm and on bioflocs is a crucial step in anaerobic degradation because of advantages such as higher activities, higher COD removal percent at short hydraulic retention times and better tolerance to disturbances such as toxic and organic shock loadings. At the same time there were certain disadvantages as well because in addition to some readily biodegradable matter, vinasses contain compounds like phenols, which were toxic to bacteria and inhibit the digestion. Also, due to seasonal nature of many of these industries and the absence of microorganisms in vinasses capable of carrying out anaerobic digestion, long incubation periods are required for the start-up stage. Besides, other operational problems in anaerobic digestion such as low growth rate of anaerobic bacteria and the loss of biomass in systems with high hydraulic rates frequently does not achieve a satisfactory purification of vinasses [59]. The formation of H2S in anaerobic reactors is the result of the reduction of oxidized sulphur compounds. Methanogenic bacteria can tolerate sulphide concentration up to 1000 mgL-1 total sulphide. A complete loss of methane production occurred at 200 mgL-1 of un-ionized H2S during digestion of flocculent sludge. Anaerobic contact process incorporating an ultra filtration (UF) unit was used to treat distillery wastewater characterized by high and low carbon to nitrogen concentrations. This treatment system showed methane yield of up to 0.6 m3 kg-1 VS and removed up to 80% of the volatile acids [60]. Two-phase anaerobic digestion of alcohol stillage proved to be superior to the single-phase process in terms of substrate loading rate and methane yield, without affecting the treatment performance [61]. While maintaining BOD and COD reduction of 85% and 65% respectively, the two-phase achieved methane yield three times that of single-phase system.
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Harada et al. [62] reported 39-67% COD removal, with a corresponding BOD removal of over 80%. The results suggested that the wastewater contained high concentration of refractile compounds; this, in turn, affected the microbial population in the sludge granules. Generally, the predominant genera of methanogens in granular sludge are Methanobacterium, Methanobrevibacter, Methanothrix and Methanosarcina [63]; however, the predominance of Methanothrix in granular sludge is most essential for the establishment of a high performance UASB process. In this study, abundance of Methanosarcina sp. was observed whereas Methanothrix sp. was present to a lesser extent thereby indicating that the latter was more sensitive to refractile compounds. Influence of reactor configuration on fermentative hydrogen (H2) production and substrate degradation was evaluated employing anaerobic mixed consortia. Reactors were operated at acidophilic (pH 6.0) condition employing designed synthetic wastewater as substrate at an organic loading rate of 3.4 Kg COD/m3/day with a retention time of 24 hrs at 28 ± 2 °C. Experimental data enumerated the influence of reactor configuration on both H2 production and wastewater treatment. Biofilm reactor (28.98 mmol H2/day; 1.25 Kg COD/m3/day) showed relatively efficient performance over the corresponding suspended growth configuration (20.93 mmol H2/day; 1.08 Kg COD/m3/day). Specific H2 yields of 6.96 mmol H2/g-CODL-day (19.32 mmol H2/g-CODR/day) and 5.03 mmol H2/g-CODL/day (16.10 mmol H2/g-CODR/day) were observed during stabilized phase of operation of biofilm and suspended growth reactors respectively. Higher concentration of VFA generation was observed in the biofilm reactor. Both the configurations recorded higher acetate concentration over other soluble metabolites indicating the dominance of acid-forming metabolic pathway during the H2 production process [64]. A lab-scale anaerobic hybrid (combining sludge blanket and filter) reactor was operated in a Continuous mode to study anaerobic biodegradation of distillery effluent. The study demonstrated that at optimum hydraulic retention time (HRT), 5 days and organic loading rate (OLR), 8.7 kg COD / m3 d, the COD removal efficiency of the reactor was 79%. The anaerobic reduction of sulfate increases sulfide concentration, which inhibited the metabolism of methanogens and reduced the performance of the reactors. The kinetics of biomass growth i.e. yield coefficient (Y, 0.0532) and decay coefficient (Kd, 0.0041 d- 1) was obtained using Lawrence and McCarty model. However, this model failed in determining the kinetics of substrate utilization. Bhatia et al. [65] model having inbuilt provision of process inhibition described the kinetics of substrate utilization, i.e. maximum rate of substrate utilization and inhibition coefficient values. Modeling of the reactor demonstrated that Parkin et al. [66], and Bhatia et al. [65] models, both, could be used to predict the effluent substrate concentration. However, Parkin et al. [66] model predicts effluent COD more precisely (within ± 2 %) than Bhatia et al. [65] model (within ± 5 - 20 %) of the experimental value. Karhadkar et al. [67] model predicted biogas yield within ± 5 % of the experimental value. Besides these anaerobic treatments another treatment i.e. aerobic treatment is required for the safe disposal of effluent in the environment.
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4.2. Aerobic treatment
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Anaerobically treated distillery wastewater still contains high concentrations of organic pollutants and then cannot be discharged directly. The partially treated effluent has high BOD, COD and suspended solids. It can reduce the availability of essential mineral nutrients by trapping them into immobilized organic forms, and may produce phytotoxic substances during decomposition. Stringent regulations on discharge of colored effluent impede direct discharge of anaerobically treated effluent [52]. Therefore, aerobic treatment of sugarcane molasses wastewater has been mainly attempted for the decolorization of the major colorant, melanoidins, and for reduction of the COD and BOD. A large number of microorganisms such as bacteria (pure and mixed culture), cyanobacteria, yeast and fungi have been isolated in recent years and are capable of degrading melanoidins and thus decolorising the molasses wastewater. The aerobic methods have been described below.
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4.2.1. Bacterial treatment
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Numerous bacteria capable of melanoidins decolorization have been reported. Spent wash is pollution intensive wastewater generated by distilleries. Its dark brown color is due to recalcitrant melanoidin pigments. Bacterial cultures were screened for their ability to degrade these pigments.
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Recently Lactic acid bacteria (Lactobacillus coryniformis, Lactobacillus sakei, Lactobacillus plantarum, Weisella soli, Pediococcus parvulus, Pediococcus pentosaceus) were used to decolorise the melanoidins. The isolate Lactobacillus plantarum exhibit 44% decourisation of melanoidins [68]. An effort has also been made by the Kryzwonos [69] using the consortia of genus Bacilli to decolorize the melanoidins. Two mixed bacterial cultures of the genus Bacillus (C1 and C2) were tested for color removal ability. Similarly Yadav and Chandra [70] developed the consortia Proteus mirabilis (IITRM5; FJ581028), Bacillus sp. (IITRM7; FJ581030), Raoultella planticola (IITRM15; GU329705) and Enterobacter sakazakii (IITRM16, FJ581031) in the ratio of 4:3:2:1. This consortia was responsible for the 75% decolorization of melanoidins within 10 days (Figure 3).
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Figure 3.
Melanoidin decolorization activity by different bacterial cultures. Bacterial consortium I: Proteus mirabilis (IITRM5; FJ581028), Bacillus sp. (IITRM7; FJ581030), Raoultella planticola (IITRM15; GU329705) and Enterobacter sakazakii (IITRM16, FJ581031) in the ratio of 4:3:2:1[70]; Bacterial consortium II: Bacillus licheniformis (RNBS1), Bacillus sp. (RNBS3) and Alcaligenes sp. (RNBS4) [72]; Bacterial consortium III: Pseudomonas aeruginosa PAO1, Stenotrophomonas maltophila and Proteus mirabilis [15]; Bacterial consortium IV: Bacillus thuringiensis (MTCC 4714), Bacillus brevis (MTCC 4716) and Bacillus sp. (MTCC 6506) [16].
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The isolate Alcaligenes faecalis strain SAG5 showed 72.6 % decolorization of melanoidins at optimum pH (7.5) and temperature (37 °C) on 5th day of cultivation. The toxicity evaluation with mung bean (Vigna radiata) revealed that the raw distillery effluent was environmentally highly toxic as compared to biologically treated distillery effluent, which indicated that the effluent after bacterial treatment is environmentally safe [71]. The degradation of synthetic and natural melanoidins was studied by using the axenic and mixed bacterial consortium (Bacillus licheniformis (RNBS1), Bacillus sp. (RNBS3) and Alcaligenes sp. (RNBS4). Results have revealed that the mixed consortium was more effective compared to axenic culture decolorising 73.7% and 69.8%% synthetic and natural melanoidins whereas axenic cultures RNBS1, RNBS3 and RNBS4 decolorized 65.88%, 62.5% and 66.1% synthetic and 52.6%, 48.9% and 59.6% natural melanoidins, respectively. The HPLC analysis of degraded samples has shown reduction in peak areas compared to controls, suggesting that decrease in color intensity might be largely attributed to the degradation of melanoidins by isolated bacteria [72]. Tondee and Sirianuntapiboon [73] isolated Lactobacillus plantarum No. PV71-1861 from pickle samples in Thailand. The strain showed the highest melanoidin pigment (MP) decolorization yield of 68.12% with MP solution containing glucose 2%, yeast extract 0.4%, KH2PO4 0.1%, MgSO47H2O 0.05% and initial pH 6 under static condition at 30 °C within 7 days. But, it showed low growth and MP decolorization yields under aerobic conditions. Gel filtration chromatograms of the MP solutions showed that the small molecular weight fraction of MP solution was decolorized by the strain when the large molecular weight fraction still remained in the effluent. For application, the strain could apply to treat anaerobic treated-molasses wastewater (T-MWW) with high removal efficiency. The highest MP removal efficiencies and growth yield of 76.6% and 2.6 mg/ml, respectively, were observed with the T-MWW within 7 days of culture, and the effluent pH of the system was decreased to lower than 4.0 after 2-3 days operation.
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The identification of culturable bacteria by 16S rDNA based approach showed that the consortium composed of Klebsiella oxytoca, Serratia mercescens, Citrobacter sp. and unknown bacterium decolorise the synthetic melanoidins. In the context of academic study, prevention on the difficulties of providing effluent as well as its variations in compositions, several synthetic media prepared with respect to color and COD contents based on analysis of molasses wastewater, i.e., Viandox sauce (13.5%, v/v), caramel (30%, w/v), beet molasses wastewater (41.5%, v/v) and sugarcane molasses wastewater (20%, v/v) were used for decolorization using consortium with color removal 9.5%, 1.13%, 8.02% and 17.5%, respectively, within 2 days. However, Viandox sauce was retained for further study. The effect of initial pH and Viandox concentration on decolorization and growth of bacterial consortium were further determined. The highest decolorization of 18.3% was achieved at pH 4 after 2 day of incubation [74]. Mohana et al. [15] isolated the microorganisms that were capable of decolorizing anaerobically treated distillery spent wash. A bacterial consortium DMC comprising of three bacterial cultures was selected on the basis of rapid effluent decolorization and degradation, which exhibited 67 ± 2% decolorization within 24 hrs and 51 ± 2% chemical oxygen demand reduction within 72 hrs when incubated at 37 oC under static condition in effluent supplemented with glucose 0.5%, KH2PO4 0.1%, KCl 0.05% and MgSO4.7H2O 0.05%. Addition of organic or inorganic nitrogen sources did not support decolorization. The cultures were identified as Pseudomonas aeruginosa PAO1, Stenotrophomonas maltophila and Proteus mirabilis by the 16S rDNA analysis. Kumar and Chandra [16] studied on the decolorization of synthetic melanoidins (i.e., GGA, GAA, SGA and SAA) by three Bacillus isolates Bacillus thuringiensis (MTCC 4714), Bacillus brevis (MTCC 4716) and Bacillus sp. (MTCC 6506). Significant reduction in the values of physicochemical parameters was noticed along with the decolorization of all four melanoidins (10%, v/v). B. thuringiensis (MTCC 4714) caused maximum decolorization followed by B. brevis (MTCC4716) and Bacillus sp. (MTCC 6506). A mixed culture comprised of these three strains was capable of decolorizing all four melanoidins. The medium that contained glucose as sole carbon source showed 15% more decolorization than that containing both carbon and nitrogen sources. Melanoidin SGA was maximally decolorized (50%) while melanoidins GAA was decolorized least in the presence of glucose as a sole energy source. Acetogenic bacteria are capable of oxidative decomposition of melanoidins. Adikane et al. [75] worked decolorization of molasses spent wash (MSW) in absence of any additional carbon or nitrogen source using soil as inoculum. A decolorization of 69% was obtained using 10% (w/v) soil and 12.5% (v/v) MSW after 7 days incubation. Optimized parameters including days 6 days, pH 6, MSW 12.5% and soil concentration 40%, were obtained for maximum decolorization. A decolorization of 81% was achieved using 10% soil and 12.5% MSW after 18 days incubation in absence of any media supplement. Nearly 12% reduction in decolorization activity of the soil sample was observed over a period of 12 months when stored at 6 oC. It could be concluded that the decolorization of MSW might be achieved using soil as inoculum without addition of chemical amendments. On the other hand, Bacillus megaterium SW3 and Bacillus subtilis SW8 were used for decolorization and bioremediation of DMSW. Both bacterial isolates were grown well in 7.5% (v/v) diluted digested spent wash supplemented with glucose and urea as a readily available carbon and nitrogen source. Optimum condition for growth and DMSW decolorization were at pH 7.2, temperature 37°C, glucose 5% (w/v), and urea 2% (w/v) in a minimal salt medium. The maximum decolorization (51%, 52.5% and 57%) and COD reduction (53%, 54.5% and 59%) was found after 5 days of incubation under the optimized condition were achieved for cultures SW3, SW8 and consortia (SW3 + SW8) respectively [76].
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Chavan et al. [77] isolated a Pseudomonas sp. and studied for degradation of recalcitrant melanoidin pigment. The optimum conditions for decolorization were pH 6.8 -7.2, temperature 30-35 ºC and glucose 0.4% (w/v). The maximum decolorization up to 56% and 63% reduction in COD of the spent wash could be achieved after 72 hrs by the microbial treatment. Spectrophotometric and HPLC analysis of treated effluent confirmed biodegradation of melanoidin pigments by the isolate. This approach could be used to develop a cost-effective, eco-friendly biotechnology package for the bioremediation of spent wash before its disposal.
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Ghosh et al. [78] worked on enrichment and identification of bacteria capable of reducing COD of anaerobically treated molasses spent wash. The isolates were grouped into six haplotypes by amplified ribosomal DNA restriction analysis (ARDRA) and BOX-PCR. They showed maximum similarity to six genera viz.\n\n Pseudomonas, Enterobacter, Stenotrophomona, Aeromonas, Acinetobacter and Klebsiella. The extent of COD (44%) reduced collectively by the six strains was equal to that reduced individually by Aeromonas, Acinetobacter, Pseudomonas and Enterobacter. With spent wash as sole carbon source, the COD reducing strains grew faster at 37 oC than 30 oC. Sirianuntapiboon et al. [79] isolated 170 strains of acetogenic bacteria, a strain No.BP103 showed the highest decolorization yield when cultivated at 30 oC for 5 days in molasses pigments medium containing glucose 3.0%, yeast extract 0.5%, KH2PO4 0.1% and MgSO4.7H2O 0.05% and the pH adjusted to 6.0. In addition this strain could decolorise 32.3% and 73.5% of molasses pigments in stillage and anaerobically treated molasses wastewater, both supplementing glucose 3.0% yeast extract 0.5%, KH2PO4 0.1% and MgSO4.7H2O 0.05%. However without nutrients supplement, the decolorization yields were 9.75% and 44.3% respectively. In a replacement culture system involving six time replacement (30days), the strain No. BP103 Showed a constant decolorization yield of 72.0% to 84.0% and caused decreases of biological oxidation demand and chemical oxygen demand values of approximately 58.5% to 82.2% and 35.5% to 71.2%, respectively. Under a periodical feeding system, the decolorization yield was 30.0 to 45.0%. Cibis et al. [80] achieved biodegradation of potato slops (distillation residue) by a mixed population of bacteria under thermophilic conditions up to 60 oC. A COD removal of 77% was achieved under non-optimal conditions.
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Savant et al. [81] isolated a novel acid-tolerant, hydrogenotrophic methanogenic isolate ATMT, using enrichment culture technique at pH 5 using slurry from an acidogenic digester running on alcohol distillery waste. The original pH of the slurry was 5.7 and the volatile fatty acid concentration was 9000 ppm. Cells of isolate ATMT were Gram-positive, non-motile and 0.3-0.5 µm in size. They did not form spores. The isolate could grow in the pH range 5.0-7.5, with maximum growth at pH 6.0. The optimum temperature for growth was 35 oC. Morphological and biochemical characteristics of the isolate, together with the 16S rDNA sequence analysis, clearly revealed that the isolate could be accommodated within any of the existing species of the genus Methanobrevibacter. Therefore, it is proposed that a novel species of the genus Methanobrevibacter should be created for this isolate, Methanobrevibacter\n\n acididurans sp. nov., and the type strain is strain ATMT. Ghosh et al. [82] studied on the application of two bacterial strains, Pseudomonas putida U and Aeromonas strain Ema, in a two-stage column bioreactor to reduce COD and the color of anaerobic treated spent wash under aerobic conditions. P. putida reduced the COD and color by 44.4% and 60%.
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Dahiya et al. [83] worked on decolorization of molasses wastewater by cells of Pseudomonas fluorescens. Decolorization was 76% under nonsterile conditions in four days at 30 oC. Immobilised cells could be reused for decolorization activity. However, in subsequent cycles, this was found to decrease from 76% to 50% and from 50% to 24%. Decolorization activity was regenerated from 30% to 45% by recultivating the immobilised cells in a fresh growth medium. Cellulose carrier coated with collagen was found to be most effective carrier, which produced the highest decolorization activity of 94% in a day process. This carrier could be reused with 50% of the decolorization activity retained until the seventh day. Jain et al. [84] studied on degradation of anaerobically digested distillery wastewater by three bacterial strains, viz.\n Xanthomonas\n fragariae, Bacillus\n megaterium and Bacillus cereus in free and immobilized form, isolated from the activated sludge of a distillery wastewater treatment plant. The removal of COD and color with all the three strains increased with time up to 48 hrs and only marginal increase in COD and color removal efficiency was observed beyond this period up to 72 hrs. After this period, removal efficiency remained fairly constant up to 120 hrs. The maximum COD and color removal efficiency varied from 66 to 81 % and 65 to 75 % respectively for both free and immobilized cells of all the three strains. The strain Bacillus cereus showed the maximum efficiency of COD (81 %) and color (75 %) removal out of the three strains.
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Masaharu et al. [85] studied on the screening of acid-forming facultative anaerobes for their decolorizing ability with the distilled wastewater (DWDA) produced during the alcoholic fermentation of cane molasses was carried out. On the primary screening, 113 strains, which were isolated from enrichment cultures of various plant and animal samples or soil samples showed decolorizing activity on modified GYP medium containing 10% (v/v) distilled wastewater. Strain SM-3 was selected as the best strain. This strain decolorized 31.4% of molasses pigment at a concentration of 10% (v/v) distilled wastewater supplemented with 1% glucose within 5 days at 30 oC under semi-anaerobic conditions. The main DWDA was found in the cell-free extract and cell membrane fractions. The strain was identified as Lactobacillus casei. Kambe et al. [86] screened out various microorganisms for their ability to decolorise molasses wastewater under thermophilic and anaerobic conditions. Strain MD-32, which was newly isolated from a soil sample, was selected as the best strain. From taxonomical studies, the strain was concluded to belong to the genus Bacillus, most closely resembling B. smithii. The strain decolorized 35.5% of molasses pigment within 20 days at 55 oC under anaerobic conditions but no decolorization activity was observed when it was cultivated aerobically.
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At all the concentration tested molasses pigment was effectively decolorized by MD-32, with decolorization yields of around 15% within 2 days. The molecular weight distribution as determined by gel filtration chromatography revealed that the decolorization of molasses pigment by the isolated strain is accompanied by a decrease in not only small molecules but also large ones. Sirianuntapiboon [87] isolated acid forming bacteria from vegetables, fruits and fermented food samples. They were primary screened to select the strains which had decolorization activity. The results showed that 50 isolates had decolorization activity on solid medium (clear zone). Among these, the strains No. BP103 and No. 13A gave the highest decolorization activity in the liquid medium which contained molasses pigments. Fructose was the most suitable carbon source for both strains for decolorizing molasses pigments. The optimal concentration of fructose in the media for highest decolorizing activity was 2.0%. For the effects of nitrogen source on decolorization activity, the organic nitrogen compounds were the best nitrogen sources for both strains. The decolorization activity of the strain No. 13A and No. BP103 were 80.5% and 82.0%, respectively when the nitrogen source was yeast extract. At the optimal conditions, the decolorizing activity of the strains No. 13A and BP103 were 90.5% and 96.7%, respectively. Strain No. 13A and No. BP103 were identified as Acetobacter acetii. Ohmomo et al. [88] performed screening of facultative anaerobes with melanoidin decolorizing activity (MDA). Strains were isolated from stored wastewater of an alcohol fermentation involving molasses. One of them, strain W-NS, showed high and stable MDA, and was identical with Lactobacillus hilgardii. The decolorization yield of this strain under the optimal conditions was improved to 40% by immobilization of cells within Ca- alginate gel.
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4.2.2. Fungal treatment
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Increasing attention has been directed towards utilizing microbial activity for decolorization of molasses wastewater. Several reports have indicated that some fungi in particular have such a potential [89]. One of the most studied fungus having ability to degrade and decolorise distillery effluent is Aspergillus such as Aspergillus fumigatus G-2-6, Aspergillus niger, Aspergillus niveus, Aspergillus\n\n fumigatus UB260 brought about an average of 69-75% decolorization along with 70-90% COD reduction [22, 90-92]. Previous studies showed that the white-rot fungus Phanerochaete chrysosporium could remove color and total phenols from the sugar refinery effluent [93]. Ohmomo et al. [94] reported the continuous decolorization of molasses wastewater in a bubbling column reactor with Coriolus versicolor immobilized within Ca-alginate gel. Later, Ohmomo et al. [95] used autoclaved mycelium of Aspergilus oryzae Y-2-32 that adsorbed lower weight fractions of melanoidins and degree of adsorption was influenced by the kind of sugars used for cultivation. The wine distilleries produce large volume of wastewater having phenolic compounds, which give a high inhibitory and antibacterial activity to this wastewater, thus slowing down the anaerobic digestion process. Partial elimination of these phenolics compounds was obtained by using Geotrichum candidum [96]. Rhizoctonia sp. D90 decolorized molasses melanoidins medium and a synthetic melanoidin medium by 87.5% and 84.5%, respectively, under experimental conditions [97] (Figure 4). Murata et al. [98] isolated a fungus Streptomyces werraensis TT 14 from soil that decolorized the model melanoidin, the decolorization rate being 64% in the optimal medium of pH - 5.5 and 45% in a synthetic medium. There was virtually no difference in the UV-VIS absorption spectra of the microbially treated melanoidin and control. The peaks of the gel permeation chromatogram for the treated melanoidin and for the control showed the same retention times, but lower molecular weight compounds increased in the decolorized melanoidin. Kida et al. [99] Aspergillus awamori var. kawachi has been used for production of single cell protein from Japanese distillery wastewater after aerobic cultivation.
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Figure 4.
Melanoidin decolorization activity by different fungi.
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Fujita et al. [100] also considered the decolorization of melanoidin present in an effluent with Coriolus hirsutus. The aim of this study was to find a suitable industrial biological treatment process for efficient decolorization of sugar refinery effluent. White-rot fungi have been reported to be capable of decolorizing melanoidin containing wastewaters. Previous studies showed that the white-rot fungus Phanerochaete chrysosporium can remove color and total phenols from the sugar refinery effluent [93]. Several studies have been reported for decolorizing the distillery effluent using fungi. Fumi et al. [101] worked on the optimisation of long term activated sludge treatment of winery wastewater. The results obtained in work carried out in order to verify the overall efficiency of full-scale, long-term, activated- sludge treatment of winery wastewater. The analytical data showed the high removal of COD during the whole experimentation period and with various working parameters. Sludge production was lower than that produced by ordinary activated-sludge plants. Miranda et al. [90] worked on color elimination from molasses wastewater by Aspergillus niger. Color elimination by Aspergillus niger from wastewater was studied. The influences of the nutrient concentrations, initial pH and carbon source on this color elimination were analyzed. During the batch process, through all experiments the maximal color elimination was attained after 3 or 4 days in the culture. Batch processes showed a maximal color elimination of 69% when MgSO4, KH2PO4, NH4NO3 and a carbon source were added to the wastewater. The continuous process, with the same nutrient concentrations, showed less color removal and the decolorization activity was maintained for only 4 days. Benito et al. [102] studied on decolorization of wastewater from an alcoholic fermentation process with Trametes versicolor. Tests varying the concentrations of carbon source, nutrients, initial pH and mycelia were carried out in order to analyze their influence on the percentage decolorization, COD removal and decrease of ammonium content of the wastewater. In this way, 82% color elimination, 77% COD removal and 36% N-NH: decrease was attained.
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Another fungus, Coriolus No.20, belonging to the class basidiomycetes, can remove color substances from molasses wastewater (MWW). In the case of treatment of MWW solution, the decrease was 82.5% in darkness under optimal conditions. This decolorization was through the adsorption of melanoidin to the mycelium and the yield of adsorption was 9.67 and 12.2 mg g-1 of mycelium as dry basic in the case of autoclaved mycelium and resting mycelium, respectively. The resting mycelium showed the highest adsorption yield (16.32 mg g-1 of mycelium) when the melanoidins solution was supplemented with 20% glucose solution. In the fed-batch system, the strain showed a constant decolorization yield of 75% during four times replacements (32 days) in both untreated and treated MWW solutions. In the continuous feed system for decolorization of untreated MWW solution, l0% of fresh untreated MWW solution was added every day after seven days of cultivation. The decolorization rate was constant (37.5%) during 12 days of operation. In the continuous decolorization of concentrated untreated MWW solution, the strain showed a constant decolorization yield (about 70%) during three times feeding of fresh concentrated untreated MWW solution. But I0 ml of 20% glucose solution had to be added after 13 days cultivation to keep the reducing sugar concentration in the culture broth at more than 1.0% [103].
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Miyata et al. [26] worked on Manganese-Independent and Dependent decolorization of melanoidin using fungi. Coriolus hirsutus pellets were grown in a melanoidin-containing medium produced extracellular H2O2 up to 43 µm. However, nonenzymatic decolorization of melanoidin by H2O2, which has been previously reported, seemed very little in the fungal culture. The culture fluid contained two extracellular peroxidases, a manganese-independent peroxidase (MIP) and manganese peroxidase (MnP). Since both MIP and MnP showed melanoidin-decolorizing activities in the presence of H2O2, it was resulted that melanoidin decolorization in the C. hirsutus culture involved the production of extracellular H2O2 and the peroxidases. Miyata et al. [104] studied on the combined use of activated sludge and the fungus Coriolus hirsutus. A white rot fungus, Coriolus hirsutus, exhibited a strong ability to decolorise melanoidin in cultures not supplemented with nitrogenous nutrients. Addition of peptone to the cultures lowered the ability of the fungus to decolorise melanoidin, but that of inorganic nitrogens, ammonium and nitrate did not bring about any marked reduction in the ability. It suggested an inhibitory effect of organic nitrogen on melanoidin decolorization. Therefore, for enhancing the decolorization of melanoidin in wastewaters by the fungus, activated sludge pretreatment of the wastewaters was expected to be effective, i.e. activated sludge is capable of converting available organic N into inorganic N. To confirm this, waste sludge heat treatment liquor (HTL), wastewater from a sewage treatment plant, was pretreated with activated sludge. In practice, pretreatment of HTL under appropriate conditions accelerated the fungal decolorization of HTL. In the pretreated HTL, the fungus was shown to produce a high level of manganese-independent peroxidase (MIP). Addition of Mn(I1) to the pretreated HTL caused a further increase in the decolorization efficiency of the fungus and a marked increase in the manganese peroxidase (MnP) activity. Consequently, the increases in MIP and MnP activities were considered to play an important role in the enhanced ability of C. hirsutus to decolorise HTL.
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Dahiya et al. [105] worked on decolorization of synthetic and spentwash melanoidins using the white-rot fungus Phanerochaete chrysosporium JAG-40. This fungus was isolated from the soil samples saturated with spilled molasses collected from a sugar mill. This isolate decolorized synthetic and natural melanoidins present in spentwash in liquid fermentation; up to 80% in 6 days at 30 oC under aerobic conditions. A large inoculum size stimulated fungal biomass production, but this gave less decolorization of pigment; 5% w/v (dry weight) mycelial suspension was found optimum for maximum decolorization in melanoidin medium supplemented with glucose and peptone. Gel-filtration chromatography showed that larger molecular weight fractions of melanoidins were decolorized more rapidly than small molecular weight fractions. Malandra et al. [106] studied the microorganisms associated with a rotating biological contactor (RBC) treating winery wastewater. One of the yeast isolates was able to reduce the COD of synthetic wastewater by 95% and 46% within 24 hrs under aerated and non aerated conditions, respectively. Kwak et al. [107] worked on effect of reaction pH on the photodegradation of model melanoidins. The wastewaters of molasses-based alcohol distilleries contain brown colored melanoidin pigments that are one of the major pollutants.
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Ragukumar et al. [108] reported decolorization of such intensely brown colored molasses spent wash (MSW) by Flavodon flavus, a white-rot basidiomycete fungus isolated from a marine habitat. They attempted to improve the process of decolorization of MSW by this fungus by immobilization. Polyurethane foam-immobilized-fungus decolorized 10% diluted MSW by 60% and 73% by day 5 and 7 respectively. The immobilized fungus could be effectively used for a minimum of 3 cycles repeatedly to decolorise MSW. Besides decolorization, the fungus also removed the toxicity of MSW. Raghukumar and Rivonkar, [109] studied on the decolorization of molasses spent wash by the white rot fungus Flavodon flavus isolated from decomposting leaves of a sea grass, decolorized pigment in molasses spentwash (MSW) by 80% after 8 days of incubation, when used at concentrations of 10% and 50%. Decolorizing activity was also present in the media prepared with half strength sea water. Decolorizing activity was also seen in low nitrogen medium, nutrient rich medium and in sugar cane bagasse medium. The percentage decolorization of MSW was highest when glucose or sucrose was used as a carbon source in the low nitrogen medium
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On the other hand, Phanerochaete chrysosporium was used for the vinasse degradation under two different growth conditions. Vinasse was treated by P. chrysosporium in a liquid inoculum form, during 32 days at room temperature (approximately 25 °C) and at 39 °C. The chemical oxygen demand (COD), total phenol concentration and color removal were measured and there was a decrease in COD, phenolic concentration and color of 47.4%, 54.7% and 45.1% respectively, at room temperature and a decrease in 54.2%, 59.4% and 56.8% respectively at 39 °C [110]. Thakkar et al. [111] studied the biocatalytic decolorization of molasses by Phanerochaete chrysosporium. Bioremediation potential of Phanerochaete chrysosporium strains NCIM 1073, NCIM 1106 and NCIM 1197 to decolorise molasses in solid and liquid molasses media was studied. Strains varied in the pattern of molasses decolorization on solid medium by giant colony method. Under submerged cultivation conditions, strain NCIM 1073 did not decolorise molasses while, strains NCIM 1106 and NCIM 1197 could decolorise molasses up to 82% and 76%, respectively. Under stationary cultivation conditions, none of the strains could decolorise molasses.
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Srianuntapiboon et al. [112] worked on three kinds of molasses wastewater collected from the stillage of an alcohol factory, and their chemical properties. Mycelia\n sterilia D 90 decolorized about 90% of the molasses pigment in 10 days and at the same time caused an about 80% decrease in the biological oxygen demand value when glucose 2.5%, NaNO3 0.2%, KH2PO4 0.1% and MgSO4.7H2O 0.05% were added to the molasses wastewater from the stillage as nutrients. But without supplementation of the nutrients, the decolorization yield was only 17.5%. Furthermore, this strain showed a decolorization yield of about 70% in 11 days and caused a decrease in the biological oxygen demand value of about 90% in 15 days under non-sterile conditions. In the fed-batch system, this strain showed a constant decolorization yield of about 80% and caused a decrease in the biological oxygen demand value of about 70%.
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Pant and Adholeya [8] isolated two fungal strains producing ligninolytic enzymes and having the potential to decolorise distillery effluent from the soil of a distillery effluent contaminated site. DNA was isolated from the pure cultures of these fungi and polymerase chain reaction (PCR) amplification of their internal transcribed spacer (ITS) region of nuclear ribosomal DNA was carried out. Further, the DNA was sequenced and the comparison of generated sequence with database led to their identification as Penicillium pinophilum TERI DB1 and Alternaria gaisen TERI DB6, respectively. These two isolates along with one isolate of Pleurotus florida EM 1303 were assessed for their ligninolytic enzyme activity in culture filtrate as well as after solid state fermentation on two substrates wheat straw and corncob powder. Ergosterol was measured to assess the growth of fungi on solid media. Both P. pinophilum TERI DB1 and A. gaisen TERI DB6 were found to produce laccase, manganese-dependent peroxidases (MnP) and lignin peroxidases (LiP). The immobilized fungal biomass was used for decolorization of the post biomethanated wastewater from the distillery. Reduction in color up to the magnitude of 86%, 50% and 47% was observed with P. florida, P. pinophilum and A.\n\n gaisen respectively. In another study, the fungi Trichoderma viride showed the highest decolorization yield (53.5%) when cultivated at 30 ºC for 7 days in medium contained the molasses which was diluted to 40 gL-1 in distilled water. The other Trichoderma species and Penicillium sp. also gave similar results of 40% - 45%. Decolorization yield was increased by adding peptone and yeast extract to the production medium except Penicillium sp. When the pH decreased below 5.0 after the incubation, the decolorization yield increased. Although reducing sugar in culture broth decreased with decreasing color intensity, there was no connection between protein utilization and decolorizing activity [113]. Two fungi (Emericella nidulans var. lata and Neurospora intermedia) have the capability to decolorise melanoidins. Maximum color was removed at pH 3, temperature 30 oC, stirring 125 rpm, dextrose (0.05%) and sodium nitrate (0.025%) by both fungi. After optimization, there was two-fold increase in color removal from 38% to 62% (DF3) and 31% to 64% (DF4) indicating significance of Taguchi approach in decolorization of distillery mill effluent [114].
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4.2.3. Treatment by other microorganisms
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The treatment of anaerobically treated 10% distillery effluent using the microalga Chlorella vulgaris followed by Lemna minuscula resulted in 52% reduction in color [115]. In another study, Kalavathi et al. [116] examined the degradation of 5% melanoidin by the marine cyanobacterium Oscillatoria boryana BDU 92181. The organism was found to release hydrogen peroxide, hydroxyl ions and molecular oxygen during photosynthesis resulting in 60% decolorization of distillery effluent. In addition, this study suggested that cyanobacteria could use melanoidin as a better nitrogen source than carbon. Further, cyanobacteria also excrete colloidal substances like lipopolysaccharides, proteins, polyhydroxybutyrate (PHB), polyhydroxy-alkanoates (PHA), etc. These compounds possess COO- and ester sulphate (OSO3-) groups that can form complexes with cationic sites thereby resulting in flocculation of organic matter in the effluent. It was observed that the strain Oscillatoria resulted in almost complete color removal (96%) whereas Lyngbya and Synechocystis were less effective resulting in 81 and 26% color reduction, respectively [117]. The consortium of the three strains showed a maximum decolorization of 98%. This was attributed to adsorption in the initial stages followed by degradation of organic compounds which dominated in the subsequent stages. Sirianuntapiboon et al. [31] worked on decolorization of molasses wastewater by Citeromyces sp. WR-43-6. 205 yeast strains isolated from Thai-fruit samples were screened, and isolated strain No. WR-43-6 showed the highest decolorization yield (68.91%) when cultivated at 30oC for 8 days in a molasses pigments solution containing glucose 2.0%, sodium nitrate 0.1% and KH2PO4 0.1%, the pH being adjusted to 6.0. This potent strain was identified as Citeromyces sp. and showed highest removal efficiencies on stillage from an alcohol factory (U-MWW). The color intensity, chemical oxygen demand (COD) and biochemical oxygen demand (BOD) removal efficiencies were 75%, almost 100 and 76%, respectively. In a periodical feeding system, Citeromyces sp. WR-43-6 showed an almost constant decolorization yield of 60-70% over 8 days feeding of 10% fresh medium. In a replacement culture system, Citeromyces sp. WR-43-6 also gave a constant decolorization yield (about 75%) during four times replacement. Yeast Citeromyces was used for treating MWW and high and stable removal efficiencies in both color intensity and organic matter were obtained.
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Moriya et al. [118] used two flocculant strains of yeast, Hansenula fabianii and Hansenula anomala for treatment of wastewater from beet molasses-spirits production and achieved 25.9% and 28.5% removal of TOC respectively from wastewater without dilution. Dilution of wastewater was not favourable for practical treatment of wastewater due to the longer treatment time and higher energy cost. Shojaosadati et al. [119] optimized the growth conditions for single cell protein (SCP) production and COD reduction by the use of Hansenula sp. in sugar beet stillage. They concluded that production of SCP from stillage is one of the most promising options. Besides, the yeast was also found to utilize lactate and acetate that are inhibitory to ethanol production. As a result, the treated effluent could be used as dilution water for fermentation thereby reducing the residual stillage volume by 70%.
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5. Role of enzymes in effluent decolorization
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The enzymatic treatment falls between the physicochemical and biological treatment processes. It has technological advantages and requires economical considerations to apply it on a large scale. It has some potential advantages over the conventional treatment. These includes: applicability to biorefractory compounds; operation either at high or low contaminant concentrations; operation over a wide range of pH, temperature and salinity; absence of shock loading effects; absence of delays associated with the acclimatization of biomass; reduction in the sludge volume and the ease and simplicity of controlling the process [120]. Recent research has focused on the development of enzymatic processes for the treatment of wastewaters, solid wastes, hazardous wastes and soils in recognition of these potential advantages [121]. A large number of enzymes (e.g. peroxidases, oxidoreductases, cellulolytic enzymes cyanidase, proteases, amylases, etc.) from a variety of different sources have been reported to play an important role in an array of waste treatment applications [122-127].
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Although the enzymatic system related with decolorization of melanoidins is yet to be completely understood, it seems greatly connected with fungal ligninolytic mechanisms. The white-rot fungi have a complex enzymatic system which is extracellular and non-specific, and under nutrient-limiting conditions is capable of degrading lignolytic compounds, melanoidins, and polyaromatic compounds that cannot be degraded by other microorganisms [102]. A large number of enzymes from a variety of different plants and microorganisms have been reported to play an important role in an array of waste treatment applications. Several studies regarding degradation of melanoidins, humic acids and related compounds using basidiomycetes have also suggested a participation of at least one laccase enzyme in fungi belonging to Trametes genus. The role of enzymes other than laccase or peroxidases in the decolorization of melanoidins by Trametes strain was reported during the 1980s. Several reports claimed that intracellular sugar-oxidase- type enzymes (sorbose- oxidase or glucose-oxidase) had melanoidin-decolorizing activities. It was suggested that melanoidins were decolorized by the active oxygen (O2; H2O2) produced by the reaction with sugar oxidases [128]. Decolorization by microbial methods includes the enzymatic breakdown of melanoidin and flocculation by microbially secreted substances. Ohmomo et al. [129] used C. versicolor Ps4a, which decolorized molasses wastewater 80% in darkness under optimum conditions. Decolorization activity involved two types of intracellular enzymes, sugar-dependent and sugar-independent. One of these enzymes required no sugar and oxygen for appearance of the activity and could decolorise MWW up to 20% in darkness and 11-17% of synthetic melanoidins. Thus, the participation of these H2O2 producing enzymes as a part of the complex enzymatic system for melanoidin degradation by fungi should be taken into account while designing any treatment strategy. One of the more complete enzymatic studies regarding melanoidin decolorization was reported by Miyata et al. [26]. Color removal of synthetic melanoidin by C. hirsutus involved the participation of peroxidases (MnP and MIP) and the extracellular H2O2 produced by glucose-oxidase, without disregard of a partial participation of fungal laccase. The manganese peroxidase (MnP) has also been reported in bacteria as extracellular enzyme for decolorization of melanoidin [72]. The involvement of MnP and laccase in white rot fungus for degradation of various biopolymers (lignin and tannin) has also been reported [130, 131]. But, the detail role of MnP and laccase in bacteria for decolorization of melanoidin has not been fully investigated.
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Mansur et al. [132] obtained a maximum decolorization of around 60% on day 8 after inoculating with fungus Trametes sp. Here effluent was added at a final concentration of 20% (v/v) after 5 days of fungal growth, the time at which high levels of laccase activity were detected in the extracellular mycelium. The white-rot basidiomycete T. versicolor is an active degrader of humic acids as well as of melanoidins. A melanoidin mineralizing 47 kDa extracellular protein corresponding to the major mineralizing enzyme system from T. versicolor was isolated by Dehorter and Blondeau [133]. This Mn2+ dependent enzyme system required oxygen and was described to be as peroxidase. Uniform, small and spongy pellets of the fungus T. versicolor were used as inoculum for color removal using different nutrients such as ammonium nitrate, manganese phosphate, magnesium sulphate and potassium phosphate and also sucrose as carbon source [102]. Maximum color removal of 82% and 36% removal of N-NH4 was obtained on using low sucrose concentration and KH2PO4 as the only nutrient. Some studies have identified the lignin degradation related enzymes participating in the melanoidin decolorization. Intracellular H2O2 producing sugar oxidases have been isolated from Coriolus strains. Also, C. hirsustus have been reported to produce enzymes that catalyze melanoidin decolorization directly without additions of sugar and O2. Miyata et al. [26] used C. hirsutus pellets to decolorise a melanoidin-containing medium. It was elucidated that extracellular H2O2 and two extracellular peroxidases, a manganese-independent peroxidase (MIP) and manganese peroxidase (MnP) were involved in decolorization activity. Lee et al. [134] investigated the dye-decolorizing peroxidase by cultivating Geotrichum candidum Dec1 using molasses as a carbon source. Components in the molasses medium stimulated the production of decolorizing peroxidase but inhibited the decolorizing activity of the purified enzyme. It was found that the inhibitory effect of molasses can be eliminated at dilution ratios of more than 25. Recently D’souza et al. [135] reported 100% decolorization of 10% spent wash by a marine fungal isolate whose laccase production increased several folds in the presence of phenolic and non-phenolic inducers. A combined treatment technique consisting of enzyme catalyzed in situ transformation of pollutants followed by aerobic biological oxidation was investigated by Sangave and Pandit [121] for the treatment of alcohol distillery spent wash. It was suggested that enzymatic pretreatment of the distillery effluent leads to in situ formation of the hydrolysis products, which have different physical properties and are easier to assimilate than the parent pollutant molecules by the microorganisms, leading to faster initial rates of aerobic oxidation even at lower biomass levels. In another study, Sangave and Pandit [136] used irradiation and ultrasound combined with the use of an enzyme as pretreatment technique for treatment of distillery wastewater. The combination of the ultrasound and enzyme yielded the best COD removal efficiencies as compared to the processes when they were used as stand-alone treatment techniques. Enzymatic decolorization of molasses medium has also been tried using P. chrysosporium [111]. Under stationary cultivation conditions, none of the strains could decolorise molasses nor produce enzymes lignin peroxidase, manganese peroxidase and laccase. All of them could produce lignin peroxidase and manganese peroxidase when cultivated in flat bottom glass bottles under stationary cultivation conditions.
\n
The MnP and laccase activity in the culture supernatant decreases with the increase in the time duration and further bacterial incubation showed gradual decrease of both enzyme activities. The enzyme activity has direct co-relation with the melanoidin decolorization. The initiation of MnP activity in culture supernatant starts at 48 h of bacterial growth and remains active up to 192 h, whereas, the laccase induction starts at 96 h and its activity decreased after 192 h. This resulted in the initial role of MnP in melanoidin degradation [70]. The melanoidin decolorization has also been reported by MnP activity in fungus [8, 108]. The enzyme laccase also helps in decolorizing melanoidin [72, 137].
\n
The white-rot basidiomycetous fungus F. flavus produces extracelluar enzymes, manganese-dependent peroxidase (MNP), lignin peroxidase (LIP) and laccase which decolorizes a number of synthetic dyes like Poly R and remazol brilliant blue R etc. [138]. However, a negative correlation was found between MnP concentrations and decolorization of molasses spent wash (MSW) [139]. The levels of glucose oxidase activity also have correlation with decolorization of MSW. Raghukumar et al. [108] proposes that hydrogen peroxide produced as a result of glucose oxidase activity acts as a bleaching agent on MSW. Which has been further confirmed that in the absence of glucose the decolorization of MSW is lesser. With the addition of the starch to the medium, amylase activity stimulates and releasing reducing sugars. Which are oxidized by glucose oxidase producing hydrogen peroxide as a byproduct results in greater decolorization of MSW [108].
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6. Conclusion
\n
In the few last decades, interest has been developed in the field of bioremediation by using microbes. Several microorganisms such as bacteria and fungi, show a good ability to decolorize the effluent of the melanoidin based distillery industries. Thus, a better understanding of the microbial activities responsible for the degradation of melanoidins would contribute to enhancing the efficiency of the overall treatment system. In degradation process it would also be necessary to know the end product of melanoidins. Genetic improvement of isolates can be explored in future for improving their decolorization efficiency. Thus, it can be suggested that microbial decolorization holds promise and can be exploited to develop a cost effective, eco-friendly biotechnology package for the treatment of distillery effluent. More technically advanced research efforts are required for searching, exploiting new bacterial species and improvement of practical application to propagate the use of bacteria for bioremediation of industrial effluents. Enzymatic studies would be employed to understand the mechanism of degradation of melanoidins in future prospectives. Such organisms could be used in bioreactors for treatment of wastewaters or scaling up for enzyme productions. Broader validation of these new technologies and integration of different methods in the current treatment schemes will most likely in the near future, render these both efficient and economically viable. Finally, microbial bioremediation involves a combination of microbiologists, biotechnologists, chemists and engineers and is ideal to plug the ever widening gap between the different disciplines.
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\n \n',keywords:null,chapterPDFUrl:"https://cdn.intechopen.com/pdfs/45067.pdf",chapterXML:"https://mts.intechopen.com/source/xml/45067.xml",downloadPdfUrl:"/chapter/pdf-download/45067",previewPdfUrl:"/chapter/pdf-preview/45067",totalDownloads:3715,totalViews:519,totalCrossrefCites:0,totalDimensionsCites:4,hasAltmetrics:0,dateSubmitted:"July 10th 2012",dateReviewed:"February 27th 2013",datePrePublished:null,datePublished:"June 14th 2013",dateFinished:null,readingETA:"0",abstract:null,reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/45067",risUrl:"/chapter/ris/45067",book:{slug:"biodegradation-of-hazardous-and-special-products"},signatures:"Anita Rani Santal and Nater Pal Singh",authors:[{id:"164941",title:"Dr.",name:"Anita",middleName:"Rani",surname:"Santal",fullName:"Anita Santal",slug:"anita-santal",email:"anita.gangotra@gmail.com",position:null,institution:{name:"Maharshi Dayanand University",institutionURL:null,country:{name:"India"}}},{id:"168476",title:"Dr.",name:"N. P.",middleName:null,surname:"Singh",fullName:"N. P. Singh",slug:"n.-p.-singh",email:"npsinghcbt@gmail.com",position:null,institution:null}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Nature of melanoidins",level:"1"},{id:"sec_3",title:"3. Degradation of melanoidin polymer",level:"1"},{id:"sec_4",title:"4. Biological methods for the treatment of distillery effluent",level:"1"},{id:"sec_4_2",title:"4.1. Anaerobic treatment /reactors",level:"2"},{id:"sec_5_2",title:"4.2. Aerobic treatment",level:"2"},{id:"sec_5_3",title:"4.2.1. Bacterial treatment",level:"3"},{id:"sec_6_3",title:"4.2.2. Fungal treatment ",level:"3"},{id:"sec_7_3",title:"4.2.3. Treatment by other microorganisms ",level:"3"},{id:"sec_10",title:"5. Role of enzymes in effluent decolorization",level:"1"},{id:"sec_11",title:"6. Conclusion",level:"1"}],chapterReferences:[{id:"B1",body:'\n \n \n \n Shweta\n K\n \n Current Trends in Bioremediation and Biodegradation. 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S\n \n Simultaneous Detoxification and Decolorization of Molasses Spent Wash by the Immobilized White-Rot Fungus Flavodon flavus Isolated from a Marine Habitat. Enzyme and Microbial Technology 2004\n 35\n 197\n \n '},{id:"B109",body:'\n \n \n \n Raghukumar\n C\n \n \n Rivonkar\n G\n \n Decolorization of Molasses Spent Wash by the White-Rot Fungus Flavodon flavus Isolated from a Marine Habitat. Applied Microbiology and Biotechnology 2001\n 55\n 510\n \n '},{id:"B110",body:'\n \n \n \n Potentini\n M. F\n \n \n Rodríguez-malaver\n A. J\n \n Vinasse Biodegradation by Phanerochaete chrysosporium. Journal of Environmental Biology 2006\n 27\n 4\n 661\n 665\n \n '},{id:"B111",body:'\n \n \n \n Thakkar\n A. P\n \n \n Dhamankar\n V. S\n \n \n Kapadnis\n B. P\n \n Biocatalytic Decolorization of Molasses by Phanerochaete chrysosporium. Bioresource Technology 2006\n 97\n 1377\n \n '},{id:"B112",body:'\n \n \n \n Sirianuntapiboon\n S\n \n \n Somachi\n P\n \n \n Sihanonth\n P\n \n Ohmomo PAS. Microbial Decolorization of Molasses Wastewater by Mycelia Sterilia D90. Agricultural and Biological Chemistry 1988\n 52\n 2\n 393\n 398\n \n '},{id:"B113",body:'\n \n \n \n Seyis\n I\n \n \n Subasioglu\n T\n \n Screening of Different Fungi for Decolorization of Molasses. Brazilian Journal of Microbiology 2009\n 40\n 61\n \n '},{id:"B114",body:'\n \n \n \n Kaushik\n G\n \n \n Thakur\n I. S\n \n Isolation of Fungi and Optimization of Process Parameters for Decolorization of Distillery Mill Effluent. World Journal of Microbiology and Biotechnology 2009\n 25\n 955\n \n '},{id:"B115",body:'\n \n \n \n Valderrama\n L. T\n \n Del Campo CM, Rodriguez CM, Bashan LE, Bashan Y. Treatment of Recalcitrant Wastewater from Ethanol and Citric Acid Using the Microalga Chlorella vulgaris and the Macrophyte Lemna minuscule. Water Research 2002\n 36\n 4185\n \n '},{id:"B116",body:'\n \n \n \n Kalavathi\n D. F\n \n \n Uma\n L\n \n \n Subramanian\n G\n \n Degradation and Metabolization of the Pigment-Melanoidin in Distillery Effluent by the Marine Cyanobacterium Oscillatoria boryana BDU 92181. Enzyme and Microbial Technology 2001\n 29\n 246\n \n '},{id:"B117",body:'\n \n \n \n Patel\n A\n \n \n Pawar\n P\n \n \n Mishra\n S\n \n \n Tewari\n A\n \n Exploitation of Marine Cyanobacteria for Removal of Color from Distillery Effluent. Indian Journal of Environmental Protection 2001\n 21\n 1118\n \n '},{id:"B118",body:'\n \n \n \n Moriya\n K\n \n \n Lefuji\n H\n \n \n Shimoi\n H\n \n \n Sato\n S\n \n \n Tadenuma\n M\n \n Treatment of Distillery Wastewater Discharged from Beet Molasses-Spirits Production Using Yeast. Journal of Fermentation and Bioengineering 1990\n 69\n 138\n \n '},{id:"B119",body:'\n \n \n \n Shojaosadati\n S. A\n \n \n Khalilzadeh\n R\n \n \n Jalilzadeh\n A\n \n \n Sanaei\n H. R\n \n Bioconversion of Molasses Stillage to Protein as an Economic Treatment of this Effluent. Resources, Conservation and Recycling 1999\n \n '},{id:"B120",body:'\n \n \n \n Karam\n J\n \n \n Nicell\n J. A\n \n Potenital Applications of Enzymes in Waste Treatment. Journal of Chemical Technology and Biotechnology 1997\n 69\n 141\n \n '},{id:"B121",body:'\n \n \n \n Sangave\n P. C\n \n \n Pandit\n A. B\n \n Enhancement in Biodegradability of Distillery Wastewater Using Enzymatic Pretreatment. Journal of Environmental Management 2006a\n 78\n 77\n \n '},{id:"B122",body:'\n \n \n \n Klibanov\n A. M\n \n \n Alberti\n B. N\n \n \n Morris\n E. D\n \n \n Felshin\n L. M\n \n Enzymatic Removal of Toxic Phenols and Anilines from Wastewaters. Journal of Applied Biochemistry 1980\n 2\n 414\n \n '},{id:"B123",body:'\n \n \n \n Klibanov\n A. M\n \n \n Morris\n E. D\n \n Horseradish Peroxidases for the Removal of Carcinogenic Aromatic Amines from Water. Enzyme and Microbial Technology 1981\n 3\n 119\n \n '},{id:"B124",body:'\n \n \n \n Aitken\n M. D\n \n \n Irvine\n R. L\n \n Stability Testing of Ligninase and Mnperoxidase from Phanerochaete Chrysosporium. Biotechnology and Bioengineering 1989\n 34\n 10\n 1251\n 1260\n \n '},{id:"B125",body:'\n \n \n \n Duff\n S. J\n \n \n Moritz\n J. W\n \n \n Andersen\n K. L\n \n Simultaneous Hydrolysis and Fermentation of Pulp Mill Primary Clarifier Sludge. Canadian Journal of Chemical Engineering 1994\n 72\n 1013\n \n '},{id:"B126",body:'\n \n \n \n Ferrer\n I\n \n \n Dezotti\n M\n \n \n Duran\n N\n \n Decolorization of Kraft Effluent by Free and Immobilized Lignin Peroxidases and Horse Radish Peroxidases. Biotechnology Letters 1991\n 13\n 577\n \n '},{id:"B127",body:'\n \n \n \n Dec\n J\n \n \n Bollag\n J. M\n \n Use of Plant Material for the Decontamination of Water Polluted with Phenols. Biotechnology and Bioengineering 1994\n 44\n 1132\n \n '},{id:"B128",body:'\n \n \n \n Watanabe\n Y\n \n \n Sugi\n R\n \n \n Tanaka\n Y\n \n Enzymatic Decolorization of Melanoidin by Coriolus sp. No 20. Agricultural and Biological Chemistry 1982\n 46\n 6\n 1623\n 1630\n \n '},{id:"B129",body:'\n \n \n \n Ohmomo\n S\n \n \n Aoshima\n I\n \n \n Tozawa\n Y\n \n \n Sakurada\n N\n \n \n Ueda\n K\n \n Purification and Some Properties of Melanoidin Decolorizing Enzymes 3and P-4 from Mycelia of Coriolus versicolor Ps4a. Agricultural and Biological Chemistry 1985a\n \n '},{id:"B130",body:'\n \n \n \n Arora\n D. S\n \n \n Chander\n M\n \n \n Gill\n P. K\n \n Involvement of Lignin Peroxidase, Manganese Peroxidase and Laccase in Degradation and Selective Ligninolysis of Wheat Straw. International Biodeterioration and Biodegradation 2002\n 50\n 115\n \n '},{id:"B131",body:'\n \n Rubia TDLLinares A, Perez J, Dorado JM, Romera J, Martinez J. Characterization of Manganese-Dependent Peroxidase Isoenzymes from the Ligninilytic Fungus Phanerochaete flavido-alba. Research in Microbiology 2002\n 153\n 547\n \n '},{id:"B132",body:'\n \n \n \n Mansur\n M\n \n \n Suarez\n T\n \n \n Fernandez-larrea\n J. B\n \n Brizuela MAA, Gonzalezi AE. Identification of a Laccase Gene Family in the New Lignin-Degrading Basidiomycetes CECT 20197. Applied and Environmental Microbiology 1997\n 63\n 7\n 2637\n 2646\n \n '},{id:"B133",body:'\n \n \n \n Dehorter\n B\n \n \n Blondeau\n R\n \n Isolation of an Extracellular Mn-Dependent Enzyme Mineralizing Melanoidins from the White Rot Fungus Trametes versicolor. FEMS Microbiology Letters 1993\n 109\n 1\n 117\n 122\n \n '},{id:"B134",body:'\n \n \n \n Lee\n T. H\n \n \n Aoki\n H\n \n \n Sugano\n Y\n \n \n Shoda\n M\n \n Effect of Molasses on the Production and Activity of Dye-Decolorizing Peroxidase from Geotrichum candidum. Journal of Bioscience and Bioengineering 2000\n 89\n 545\n \n '},{id:"B135",body:'\n \n \n \n D\n Souza\n \n \n D. T\n Tiwari\n \n \n R\n Sah\n \n \n A. K\n Raghukumar\n \n C. Enhanced Production of Laccase by a Marine Fungus During Treatment of Colored Effluents and Synthetic Dyes. Enzyme and Microbial Technology 2006\n 38\n 504\n \n '},{id:"B136",body:'\n \n \n \n Sangave\n P. C\n \n \n Pandit\n A. B\n \n Ultrasound and Enzyme Assisted Biodegradation of Distillery Wastewater. Journal of Environmental Management 2006b\n 80\n 36\n \n '},{id:"B137",body:'\n \n \n \n Yadav\n S\n \n \n Chandra\n R\n \n \n Rai\n V\n \n Characterization of Potential MnP Producing Bacteria and its Metabolic Products During Decolorization of Synthetic Melanoidins due to Biostimulatory Effect of D-Xylose at Stationary Phase. Process Biochemistry 2011\n 86\n 1774\n \n '},{id:"B138",body:'\n \n \n \n Raghukumar\n C\n \n \n D\n Souza\n \n \n T. M\n Thorn\n \n \n R. G\n Reddy\n \n \n C. A\n Lignin-modifying\n \n Enzymes of Flavodon flavus a Basidiomycete isolated from a Coastal Marine Environment. Applied Environmental Microbiology 1999\n 65\n 2103\n \n '},{id:"B139",body:'\n \n \n \n Raghukumar\n C\n \n Fungi from Marine Habitat: Application in Bioremediation. Mycological Research 2000\n 104\n 1222\n \n '}],footnotes:[],contributors:[{corresp:null,contributorFullName:"Anita Rani Santal",address:null,affiliation:'
Department of Microbiology, M. D. University, Rohtak, Haryana, India
'},{corresp:null,contributorFullName:"Nater Pal Singh",address:null,affiliation:'
Centre for Biotechnology, M. D. University, Rohtak, Haryana, India
'}],corrections:null},book:{id:"3570",title:"Biodegradation of Hazardous and Special Products",subtitle:null,fullTitle:"Biodegradation of Hazardous and Special Products",slug:"biodegradation-of-hazardous-and-special-products",publishedDate:"June 14th 2013",bookSignature:"Rolando Chamy and Francisca Rosenkranz",coverURL:"https://cdn.intechopen.com/books/images_new/3570.jpg",licenceType:"CC BY 3.0",editedByType:"Edited by",editors:[{id:"165784",title:"Dr.",name:"Rolando",middleName:null,surname:"Chamy",slug:"rolando-chamy",fullName:"Rolando Chamy"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},chapters:[{id:"45066",title:"Isolation and Characterization of Cypermethrin Degrading Bacteria Screened from Contaminated Soil",slug:"isolation-and-characterization-of-cypermethrin-degrading-bacteria-screened-from-contaminated-soil",totalDownloads:2532,totalCrossrefCites:2,signatures:"L. B. Yin, L. Z. Zhao, Y. Liu, D. Y. Zhang, S. B. 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Singh",slug:"n.-p.-singh"}]},{id:"45068",title:"Degradability: Enzymatic and in Simulated Compost Soil of PLLA:PCL Blend and on Their Composite with Coconut Fiber",slug:"degradability-enzymatic-and-in-simulated-compost-soil-of-plla-pcl-blend-and-on-their-composite-with-",totalDownloads:2003,totalCrossrefCites:0,signatures:"Yasko Kodama",authors:[{id:"108474",title:"Dr.",name:"Yasko",middleName:null,surname:"Kodama",fullName:"Yasko Kodama",slug:"yasko-kodama"}]},{id:"45071",title:"Intradiol Dioxygenases — The Key Enzymes in Xenobiotics Degradation",slug:"intradiol-dioxygenases-the-key-enzymes-in-xenobiotics-degradation",totalDownloads:2140,totalCrossrefCites:13,signatures:"Urszula Guzik, Katarzyna Hupert-Kocurek and Danuta\nWojcieszyńska",authors:[{id:"145294",title:"PhD.",name:"Urszula",middleName:null,surname:"Guzik",fullName:"Urszula Guzik",slug:"urszula-guzik"},{id:"147012",title:"Dr.",name:"Katarzyna",middleName:null,surname:"Hupert-Kocurek",fullName:"Katarzyna Hupert-Kocurek",slug:"katarzyna-hupert-kocurek"},{id:"147014",title:"Dr.",name:"Danuta",middleName:null,surname:"Wojcieszyńska",fullName:"Danuta Wojcieszyńska",slug:"danuta-wojcieszynska"}]},{id:"44042",title:"Hydrocarbon Biodegradation Potential of Native and Exogenous Microbial Inocula in Mexican Tropical Soils",slug:"hydrocarbon-biodegradation-potential-of-native-and-exogenous-microbial-inocula-in-mexican-tropical-s",totalDownloads:2321,totalCrossrefCites:6,signatures:"Ildefonso Díaz-Ramírez, Erika Escalante-Espinosa, Randy Adams\nSchroeder , Reyna Fócil-Monterrubio and Hugo Ramírez-Saad",authors:[{id:"165233",title:"Dr.",name:"Hugo",middleName:null,surname:"Ramirez Saad",fullName:"Hugo Ramirez Saad",slug:"hugo-ramirez-saad"},{id:"165333",title:"Dr.",name:"Ildefonso",middleName:null,surname:"Díaz-Ramírez",fullName:"Ildefonso Díaz-Ramírez",slug:"ildefonso-diaz-ramirez"},{id:"165334",title:"Dr.",name:"Erika",middleName:null,surname:"Escalante-Espinosa",fullName:"Erika Escalante-Espinosa",slug:"erika-escalante-espinosa"},{id:"165335",title:"Dr.",name:"Randy",middleName:null,surname:"Adams Schroeder",fullName:"Randy Adams Schroeder",slug:"randy-adams-schroeder"},{id:"165336",title:"MSc.",name:"Reyna",middleName:null,surname:"Fócil Monterrubio",fullName:"Reyna Fócil Monterrubio",slug:"reyna-focil-monterrubio"}]}]},relatedBooks:[{type:"book",id:"3569",title:"Biodegradation",subtitle:"Life of Science",isOpenForSubmission:!1,hash:"bb737eb528a53e5106c7e218d5f12ec6",slug:"biodegradation-life-of-science",bookSignature:"Rolando Chamy and Francisca Rosenkranz",coverURL:"https://cdn.intechopen.com/books/images_new/3569.jpg",editedByType:"Edited by",editors:[{id:"165784",title:"Dr.",name:"Rolando",surname:"Chamy",slug:"rolando-chamy",fullName:"Rolando Chamy"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"},chapters:[{id:"45099",title:"Biodegradation of Medical Purpose Polymeric Materials and Their Impact on Biocompatibility",slug:"biodegradation-of-medical-purpose-polymeric-materials-and-their-impact-on-biocompatibility",signatures:"Elisa Tamariz and Ariadna Rios-Ramírez",authors:[{id:"163868",title:"Dr.",name:"Elisa",middleName:null,surname:"Tamariz",fullName:"Elisa Tamariz",slug:"elisa-tamariz"},{id:"168352",title:"BSc.",name:"Ariadna",middleName:null,surname:"Rios-Ramirez",fullName:"Ariadna Rios-Ramirez",slug:"ariadna-rios-ramirez"}]},{id:"45092",title:"Biosurfactants: Production and Applications",slug:"biosurfactants-production-and-applications",signatures:"R.S. 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\n
1. Aging of population
\n
The aging of the population is an unprecedented world phenomenon. The projections of the World Health Organization indicate that by 2050, all ages will increase by 35%, people aged 65–84 will increase by 164%, older people aged 85–99 will increase by 301% and centenarians will grow by 746% [1].
\n
Increasing longevity also contributes to an aging population. Globally, life expectancy at birth is projected to increase from 69 years in 2005–2010 to 76 years in 2045–2050 and to 82 years in 2095–2100 [1] (Figures 1 and 2).
\n
Figure 1.
Total population by broad age group. Courtesy: World Health Organization.
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Figure 2.
Life expectancy at birth by sex. Courtesy: World Health Organization.
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Physiological changes are observed with aging, increasing the risks of developing chronic diseases and dependence care. Auditory, visual, and movement problems may be present in people 60 years or older. In addition, some conditions such as dementia, heart disease, stroke, respiratory disorders, diabetes, and musculoskeletal conditions (osteoarthritis and back pain) are more frequent in this age group [2].
\n
One of the most common situations for the elderly is postural imbalance and, consequently, the occurrence of falls, representing a significant health problem in older adults. Each year, approximately 30% of community-dwelling older people fall at least once and 10–20% fall twice or more [3]. The incidence among institutionalized older people is even higher, with a mean percentage of residents who fall each year of over 40% [4].
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2. Postural balance
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Balancing is the process of controlling the body’s center of mass with respect to its base of support, whether in a static or dynamic situation. It depends on the integration of sensory systems with the CNS. Sensory information from somatosensory, visual, and vestibular systems must be integrated to interpret complex sensory environments. Each system interacts with each other to maintain balance in a closed loop, with an interrelation of cause and effect. When the sensory environment is changed, the CNS needs to re-weigh the contribution of each of the senses in postural balance. In an environment with good lighting and a firm surface, the contribution of somatosensory information is 70%, the visual information is 10%, and the vestibular information is 20% [5].
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Each system is prone to deterioration with advancing age, and this is influenced by age-related diseases and use of some types of medications, in addition to polypharmacy [6]. Systems can partially compensate for each other’s deterioration. Failing compensation strategies may eventually result in impaired balance, which may result in falls [7].
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2.1 Vision and postural balance
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The role of central and peripheral vision information in the control of movements and posture was examined in some studies [8, 9]. These authors suggested that peripheral vision is used for postural control and most particularly for stabilization of fore-aft sways, while the central vision is more often used for foot trajectory planning, targeting, obstacle avoidance, and stabilization of lateral sways.
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Visual impairment is an important health problem and a major cause of injury in the elderly. Cataract, glaucoma, age-related macular degeneration, and diabetic retinopathy are the most common diseases related to the elderly and can interfere with the postural balance.
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2.1.1 Cataract
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Cataract, affecting mainly visual acuity and contrast sensitivity, contributes to about 50% of visual impairments in the elderly [10, 11]. The consequences include decreased ability to perform activities of daily living (such as reading, watching television, driving, and interacting socially), depression, increased number of falls, and increased mortality [10, 12]. The impact on patients is comparable with that of major systemic conditions including stroke, diabetes, and arthritis. In a study in patients with cataract, Pasma et al. found a higher proprioceptive weight compared with healthy elderly participants, which means that the elderly with cataract rely more on their proprioceptive information [7].
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2.1.2 Glaucoma
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Glaucoma is a progressive optic neuropathy characterized by degeneration of retinal ganglion cells and their axons with consequent vision loss and blindness. This condition leads to a characteristic reduction in the visual field (VF), with good central visual acuity. Previous studies have reported a higher risk of falling in patients with glaucoma compared to normal subjects [13, 14, 15]. In the study by Black et al., a cohort of glaucoma subjects was examined to assess body displacement of the trunk and the results showed that the worse the visual field defect, the greater the body sway [16].
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2.1.3 Age-related macular degeneration
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Age-related macular degeneration (AMD) is a disease that affects the macula (central vision), altering the accuracy of vision necessary for “direct” and fine activities, and may interfere with activities of daily living [17].
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Wood et al. studied postural balance in older adults with AMD and showed that diminution of contrast sensitivity and visual field loss lead to postural instability and mobility difficulties in these patients [18]. Chatard et al., studying 10 elderly unilateral AMD subjects, 10 elderly bilateral AMD subjects, and 10 healthy age-matched control subjects, showed that bilateral AMD subjects had a surface area and an antero-posterior displacement of the CoP higher than healthy elderly. Unilateral AMD subjects had more antero-posterior displacement of the CoP than healthy elderly [19]. The authors conclude that because of aging, AMD subjects could have poor postural adaptive mechanisms which increase instability and risk of falls.
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2.1.4 Diabetic retinopathy
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Diabetic retinopathy (DR) is a common and potentially blinding microvascular complication of diabetes [20]. In a study, Gupta et al. found that diabetes per se was not a risk factor for falls. However, the authors found an association between diabetic patients with DR and risk of falling [20], suggesting a relation between DR and postural balance.
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The greater tendency to fall in patients with mild-to-moderate DR can be explained by a reduction in the components of the visual function system, such as contrast, sensitivity, stereo acuity, and color perception [21, 22].
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Figure 3 summarizes the normal vision and main eye disorders that can interfere with the postural balance described above.
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Figure 3.
The main vision impairments that interfere with balance. Courtesy: National Eye Institute, National Institutes of Health (NEI/NIH).
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Thus, it is important to evaluate visual function when we propose to work with postural balance in the elderly.
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2.2 Vestibular system and postural balance
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Through its sensory functions, the vestibular system detects the position and movement of the head in space relative to gravity, and helps to stabilize vision and balance [23].
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The vestibular system has structures similar to miniaturized accelerometers, which report continuous information to the cerebral cortex, cerebellum, and somatic sensory cortices on the movements and position of the head and body. The vestibular nuclei make connections with structures of the brainstem and cerebellum and also innervate the motor neurons that control extraocular, cervical, and postural muscles [23] (Figure 4).
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Figure 4.
Postural balance and the vestibular system responses. From Wikimedia Commons, https://commons.wikimedia.org/wiki/File:1410_Equilibrium_and_Semicircular_Canals.jpg.
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Impaired function of the vestibular system causes vertigo, loss of balance, and loss of gaze fixation during movement, often accompanied by dizziness and nausea [24].
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Vestibular dysfunction is typically characterized by vertigo (i.e., an illusory sense of motion) and imbalance owing to disturbances in gaze and postural stability [25], which can culminate in falls [26].
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So, the evaluation of the vestibular system is indispensable when the patients have a impaired balance control.
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2.3 Somatosensory system and postural balance
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People rely primarily on the proprioceptive and cutaneous input to maintain normal quiet stance and to safely accomplish the majority of activities of daily living [27].
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The proprioceptive information depends on muscle spindles, the Golgi tendon organ (GTO), and articular receptors. The first provide the nervous system with information about the muscle’s length and velocity of contraction, thus contributing to the individual’s ability to discern joint movement and position sense [28]. Besides, the muscle spindles provide afferent feedback that translates stimuli to appropriate reflexive and voluntary movements. The GTO relays information about tensile forces, and is sensitive to very slight changes [28], and when it is activated, the afferent neuron synapses in the spinal cord interneurons, which inhibit the muscle alpha motoneuron, resulting in decreased tension in muscle and tendon. Articular or joint proprioceptors respond to mechanical deformation of the joint capsule and ligaments.
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On a slippery or dry floor surface, people show different gait parameters, including step length, required coefficient of friction, and heel contact velocity, evidencing the importance of the sensorimotor system in balance control [29].
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Sensorimotor impairments occur with aging and are believed to contribute to the increased likelihood of imbalance and falling [30]. Damage to joint and muscular proprioception, strength (capacity of muscle strength), and reaction time may contribute to the increase in the probability of fall [30].
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Some diseases can affect muscles and joints. Studies have shown that, in patients with knee osteoarthritis (AO), postural balance is impaired due to reduced quadriceps function and decreased proprioception [31, 32]. Among elderly individuals, the prevalence of knee OA is approximately 12.2%, with a higher prevalence in women (14.9%) than in men (8.7%) [33].
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Patients with neuromuscular diseases (NMDs), usually characterized by muscle weakness, appear to fall regularly. Aging causes a loss of muscle mass with a preferential decline in type II fibers [34], besides decrements in force production, power, specific tension, and fatigability [35], increasing the risk of falls.
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Key points
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Elderly population is increasing.
Postural imbalance and falling are serious problems faced by the older population.
Postural control is based on the interpretation by central nervous system of convergent sensory information from somatosensory, vestibular, and visual systems.
Impairments in these systems lead directly to functional loss, such as the inability to walk safely, to climb stairs, and dress independently, increasing the risk of falls.
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3. Approach to the patient with a balance problem
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3.1 Physical examination
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As with any good clinical evaluation, a detailed history and a thorough physical examination are essential. As the postural balance depends on several systems, it is essential to evaluate the visual system, the vestibular and auditory system, and the sensorimotor system.
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3.2 Functional performance tests
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A comprehensive assessment of balance is important for both diagnostic and therapeutic reasons in clinical practice.
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The tests can be divided between single-task measures and multiple-task measures [36]. These tests often can be done very quickly and with relatively little equipment and training.
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3.2.1 Single-task measures
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3.2.1.1 Single-leg stance test
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The single leg-stance test (SLS) is simple, has high reliability and low cost, and is widely used for diagnosis and follow-up of patients in research and clinical settings. In this test, the participant remains supported on one leg, with arms resting on the hips, and the time (in seconds) that the patient remains in the position without unbalance is verified [37]. Decreased eyes-open SLS time is associated with an increased risk for falls [38].
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3.2.1.2 Functional reach test
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The functional reach test (FRT) is an easy and inexpensive test in which the patient flexes the trunk, extending the arms horizontally and keeping the feet in contact with the ground. The score is obtained by measuring the distance between the initial and the final positions of the fingertip [39]. Displacements less than 15 cm indicate postural balance problems and increased risk of falls [40].
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3.2.1.3 Gait speed test
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The gait speed test gives an easy, inexpensive, reliable measure of functional capacity [41], with high interrater and test-retest reliability [42]; does not require laboratory equipment; is not limited to a specific health care discipline [43]; and may be done quickly in clinical settings. The test may vary according to the pace (usual or maximal speed), whether static or moving start, and the distance walked (ranging from 4 to 500 m) [44].
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3.2.2 Multiple-task measures
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3.2.2.1 Berg Balance Scale
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The Berg Balance Scale (BBS) consists of a battery of 14 tasks common to the activities of daily living, which quantitatively evaluate the risk of falls, through observations undertaken by the examiner [45]. The score on the test ranges from 0 to 56 and the performance on each task is measured on a five-point scale ranging from 0 to 4 (0 = unable to perform, 4 = independent). Scores of 48 or less indicate inability to walk independently and safely in activities of daily living and, consequently, increased risk of falls [46].
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3.2.2.2 Short physical performance battery
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The short physical performance battery (SPPB) is designed to measure functional status and physical performance, assessing walking speed, standing balance, and sit-to-stand performance [47]. The scores range from 0 (worst performance) to 12 (best performance). In a study, Veronese et al. demonstrated that SPPB scores ≤6 are associated with a higher fall rate in old people [48].
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3.2.2.3 Timed up and go
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The Timed up and go (TUG) test was developed in 1991 [49]. The test consists of finding the time the patient takes to get up from a chair (height about 46 cm), walk the distance of 3 m at a comfortable and safe step, turn around and go back to the chair, and sit down again. The subject wears his regular footwear and uses his customary walking aid (cane or walker) if necessary [49]. A faster time indicates a better functional performance [50].
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Key points
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A good clinical evaluation, a detailed history, and a thorough physical examination are essential to evaluate postural balance.
The tests can be divided between single-task and multiple-task measures.
Assessment of balance is important for both diagnostic and therapeutic reasons in clinical practice.
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4. Improvement of the postural balance
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Falls are a public health problem. The risk of falling increases with age for many reasons, for example overall weakness and frailty, balance problems, cognitive problems, vision problems, some medications and polypharmacy, acute illness, and other environmental hazards. Because of this, multifactorial interventions should include an initial assessment of modifiable risk factors for falls and subsequent customized interventions for each patient based on issues identified in the initial assessment.
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One type of treatment to improve balance is physical exercise. Figure 5 presents a summary of best practice recommendations to use for improving postural balance and, consequently, fall prevention.
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Figure 5.
Recommendations to guide the use of exercise for falls prevention.
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4.1 Types of exercises
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Any physical exercise that overloads the balance systems without putting the patient at risk is recommended. It is possible, for example, to make a training circuit, with different stimuli for the elderly [51]. In the circuit, exercises such as one-legged support (both sides), gait on unstable surface, tandem gait, among others can be done, always increasing the level of difficulty.
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Another possibility is to join two modalities of exercises: video games and muscle strengthening, for example. In a study, Prata and Scheicher found improvement in fear of falling and in mobility after 12 weeks of video game and muscle strength training in older women with a history of falls [52].
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4.1.1 Video games
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Postural balance training involving new technologies can promote more challenging situations for the elderly, increasing patient motivation and adherence to the program [53]. The use of video games provides immediate visual feedback, allowing users to make changes in motion according to the situations of the games and thus to develop strategies to restore and/or maintain postural balance, and may therefore be effective for the prevention of falls [54].
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Carvalho et al. showed an increase in gait speed and a decrease in the TUG time in elderly female fallers after 12 weeks of training (two sessions per week) with commercialized games of Wii Fit by Nintendo® in sync with the Wii Balance Board® [55]. Three different games were used for postural balance training: Penguin Slide, where the participants had to catch fish while balanced on a piece of ice by shifting their weight from side to side; Table Tilt, where participants move their bodies in various directions to put balls into holes; and Tightrope, where participants walk on a tightrope with several vertical jumps to avoid obstacles.
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4.1.2 Treadmill exercise
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In the last decade, the use of the treadmill in the rehabilitation of gait in Parkinson’s disease patients, stroke patients, and cerebral palsy (CP) patients has been studied. Some studies explain the reasons for improving postural balance patterns with treadmill training. One of them explains that treadmill training has the capacity to promote motor re-learning and, consequently, improve locomotor capacity during walking [56]. It has also been suggested that training, through repetitive movements generated by the treadmill, activates locomotor patterns of functional movements, sensory inputs, and circuits of the central nervous system [57]. In addition, it has been hypothesized that repetitive movements associated with cutaneous and proprioceptive impulses may induce activation of central movement patterns and, in the long term, potentiate the motor cortex, facilitating motor learning [58].
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Toole et al. and Frenkel-Toledo et al. showed an improvement in the gait and balance in Parkinson’s patients that participated in a six-week treadmill walking program [59, 60]. Herman et al. showed an enhancement in the gait rhythmicity and several improvements in motor signs, the latter remaining significantly better 4 weeks after the training was stopped [61].
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Training on a treadmill to fight the stroke-related disabilities resulted in valuable results: fatigue resistance [62], endurance performance improvement [63], and the development of motor function [64]. A study in chronic non-ambulatory hemiparetic subjects revealed that partial body weight–supported treadmill training was superior to conventional physiotherapy with regard to restoration of gait and improvement of ground walking velocity [65]. In this study, during one 30-min session of treadmill training, patients could practice up to 1000 gait cycles as compared with a median of less than 50 gait cycles during one regular physiotherapy session.
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Bjornson et al. studied the effect of short-burst interval locomotor treadmill training on walking capacity and performance in cerebral palsy and concluded that this training may improve short-term walking capacity and performance [66]. In another study, Mattern-Baxter et al. concluded that home-based treadmill training accelerates the attainment of walking skills and decreases the amount of support used for walking in young children with CP [67].
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In healthy elderly with falls history, there are few studies that evaluated the responses of the postural balance with the treadmill training. Dorfman et al. found that after 6 weeks of treadmill plus dual-task training program, elderly fallers demonstrated improved scores on tests of mobility, functional performance tasks, and cognition [68]. In another study, van Ooijen et al., using a treadmill training with visual context, found improvement in walking ability and reduced risk of falls and fear of falling in older adults with a recent fall-related hip fracture [69].
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Key points
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Any physical exercise that overloads the balance systems without putting the patient at risk is recommended.
Postural balance training involving new technologies can promote more challenging situations for the elderly, increasing patient motivation and adherence to the program.
Treadmill training is another form of exercise to challenge the postural control system.
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5. Conclusion
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It is necessary to consider the various facets of the postural balance system when a patient presents a problem related to this. Evaluating these facets is important in prescribing the correct treatment for each situation. There are many types of training that can improve postural balance. Physical exercises, when performed with a moderate or high challenge to the balance system, are a type of treatment that can help reduce the risk of falls in the elderly.
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Conflict of interest
The authors declare no conflicts of interest.
\n',keywords:"aging, postural balance, sensory systems",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/64339.pdf",chapterXML:"https://mts.intechopen.com/source/xml/64339.xml",downloadPdfUrl:"/chapter/pdf-download/64339",previewPdfUrl:"/chapter/pdf-preview/64339",totalDownloads:617,totalViews:0,totalCrossrefCites:0,dateSubmitted:"March 13th 2018",dateReviewed:"June 28th 2018",datePrePublished:"November 7th 2018",datePublished:"December 4th 2019",dateFinished:null,readingETA:"0",abstract:"The aging of the population is an unprecedented world phenomenon. Numerous physiological changes occur with aging, and one of the most common situations is postural imbalance and, consequently, the occurrence of falls. Balancing is the process of controlling the body’s center of mass with respect to its base of support and depends on the integration of sensory systems (visual, vestibular, and somatosensory) with the central nervous system (CNS). Each system is prone to deterioration with advancing age and is influenced by age-related diseases and use of some types of medications and polypharmacy. As with any good clinical evaluation, a detailed history and a thorough physical examination are essential to evaluate postural balance. The evaluation of balance must be done with tests that are quick and with relatively little equipment and training. The improvement of postural balance can be done in many ways, and exercises are a type of this treatment and can be done with video games or a treadmill, for example.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/64339",risUrl:"/chapter/ris/64339",signatures:"Natália Moya Rodrigues Pereira and Marcos Eduardo Scheicher",book:{id:"7837",title:"Geriatric Medicine and Gerontology",subtitle:null,fullTitle:"Geriatric Medicine and Gerontology",slug:"geriatric-medicine-and-gerontology",publishedDate:"December 4th 2019",bookSignature:"Edward T. Zawada Jr.",coverURL:"https://cdn.intechopen.com/books/images_new/7837.jpg",licenceType:"CC BY 3.0",editedByType:"Edited by",editors:[{id:"16344",title:"Dr.",name:"Edward T.",middleName:null,surname:"Zawada Jr.",slug:"edward-t.-zawada-jr.",fullName:"Edward T. Zawada Jr."}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:[{id:"250221",title:"Associate Prof.",name:"Marcos Eduardo",middleName:null,surname:"Scheicher",fullName:"Marcos Eduardo Scheicher",slug:"marcos-eduardo-scheicher",email:"marcos.scheicher@unesp.br",position:null,institution:null},{id:"260902",title:"MSc.",name:"Natália Moya Rodrigues",middleName:null,surname:"Pereira",fullName:"Natália Moya Rodrigues Pereira",slug:"natalia-moya-rodrigues-pereira",email:"nanamoya@hotmail.com",position:null,institution:null}],sections:[{id:"sec_1",title:"1. Aging of population",level:"1"},{id:"sec_2",title:"2. Postural balance",level:"1"},{id:"sec_2_2",title:"2.1 Vision and postural balance",level:"2"},{id:"sec_2_3",title:"2.1.1 Cataract",level:"3"},{id:"sec_3_3",title:"2.1.2 Glaucoma",level:"3"},{id:"sec_4_3",title:"2.1.3 Age-related macular degeneration",level:"3"},{id:"sec_5_3",title:"2.1.4 Diabetic retinopathy",level:"3"},{id:"sec_7_2",title:"2.2 Vestibular system and postural balance",level:"2"},{id:"sec_8_2",title:"2.3 Somatosensory system and postural balance",level:"2"},{id:"sec_10",title:"3. Approach to the patient with a balance problem",level:"1"},{id:"sec_10_2",title:"3.1 Physical examination",level:"2"},{id:"sec_11_2",title:"3.2 Functional performance tests",level:"2"},{id:"sec_11_3",title:"3.2.1 Single-task measures",level:"3"},{id:"sec_11_4",title:"3.2.1.1 Single-leg stance test",level:"4"},{id:"sec_12_4",title:"3.2.1.2 Functional reach test",level:"4"},{id:"sec_12_5",title:"3.2.1.3 Gait speed test",level:"5"},{id:"sec_15_3",title:"3.2.2 Multiple-task measures",level:"3"},{id:"sec_15_4",title:"3.2.2.1 Berg Balance Scale",level:"4"},{id:"sec_16_4",title:"3.2.2.2 Short physical performance battery",level:"4"},{id:"sec_17_4",title:"3.2.2.3 Timed up and go",level:"4"},{id:"sec_21",title:"4. Improvement of the postural balance",level:"1"},{id:"sec_21_2",title:"4.1 Types of exercises",level:"2"},{id:"sec_21_3",title:"4.1.1 Video games",level:"3"},{id:"sec_22_3",title:"4.1.2 Treadmill exercise",level:"3"},{id:"sec_25",title:"5. Conclusion",level:"1"},{id:"sec_29",title:"Conflict of interest",level:"1"}],chapterReferences:[{id:"B1",body:'United Nations. World population prospects: The 2012 revision. Highlights and advance tables. Population and Development Review. 2013;36:775-801. Available from: http://esa.un.org/unpd/wpp/Documentation/publications.htm\n\n'},{id:"B2",body:'World Health Organization. Integrated Care for Older People [Internet]. Geneva; 2017. 46 p. Available from: http://apps.who.int/iris/bitstream/10665/258981/1/9789241550109-eng.pdf?ua=1\n\n'},{id:"B3",body:'Graafmans WC, Ooms ME, Hofstee HMA, Bezemer PD, Bouter LM, Lips P. Falls in the elderly: A prospective study of risk factors and risk profiles. American Journal of Epidemiology. 1996;143(11):1129-1136. Available from: https://academic.oup.com/aje/article-lookup/doi/10.1093/oxfordjournals.aje.a008690\n\n'},{id:"B4",body:'Rubenstein LZ, Josephson KR. The epidemiology of falls and sincope. Clinics in Geriatric Medicine. 2002;18:141-158\n'},{id:"B5",body:'Peterka RJ. Sensorimotor integration in human postural control. Journal of Neurophysiology. 2002;88:1097-1118\n'},{id:"B6",body:'Maki B, McIlroy W. Postural control in the older adult. Clinics in Geriatric Medicine. 1996;12(4):635-658\n'},{id:"B7",body:'Pasma JH, Engelhart D, Maier AB, Schouten AC, van der Kooij H, Meskers CGM. Changes in sensory reweighting of proprioceptive information during standing balance with age and disease. Journal of Neurophysiology. 2015;114(6):3220-3233. Available from: http://jn.physiology.org/lookup/doi/10.1152/jn.00414.2015\n\n'},{id:"B8",body:'Berencsi A, Ishihara M, Imanaka K. The functional role of central and peripheral vision in the control of posture. Human Movement Science. 2005;24(5–6):689-709\n'},{id:"B9",body:'Marigold DS, Patla AE. Visual information from the lower visual field is important for walking across multi-surface terrain. Experimental Brain Research. 2008;188(1):23-31\n'},{id:"B10",body:'Desapriya E, Subzwari S, Scime-Beltrano G, Samayawardhena LA, Pike I. Vision improvement and reduction in falls after expedited cataract surgery. Systematic review and metaanalysis. Journal of Cataract & Refractive Surgery. 2010;36(1):13-19. DOI: 10.1016/j.jcrs.2009.07.032\n'},{id:"B11",body:'Chew M, Chiang PPC, Zheng Y, Lavanya R, Wu R, Saw SM, et al. The impact of cataract, cataract types, and cataract grades on vision-specific functioning using rasch analysis. American Journal of Ophthalmology. 2012;154(1):29-38\n'},{id:"B12",body:'Polack S, Kuper H, Wadud Z, Fletcher A, Foster A. Quality of life and visual impairment from cataract in Satkhira district, Bangladesh. British Journal of Ophthalmology. 2008;92(8):1026-1030\n'},{id:"B13",body:'Wood JM, Lacherez P, Black AA, Cole MH, Boon MY, Kerr GK. Risk of falls, injurious falls, and other injuries resulting from visual impairment among older adults with age-related macular degeneration. Investigative Ophthalmology & Visual Science. 2018;52(8):5088-5092\n'},{id:"B14",body:'Black AA, Wood JM, Lovie-Kitchin JE. Inferior field loss increases rate of falls in older adults with glaucoma. Optometry and Vision Science. 2011;88(11):1275-1282\n'},{id:"B15",body:'Coleman AL, Stone K, Ewing SK, Nevitt M, Cummings S, Cauley JA, et al. Higher risk of multiple falls among elderly women who lose visual acuity. Ophthalmology. 2004;111(5):857-862\n'},{id:"B16",body:'Black AA, Wood JM, Lovie-Kitchin JE, Newman BM. Visual impairment and postural sway among older adults with glaucoma. Optometry and Vision Science. 2008;85(6):489-497\n'},{id:"B17",body:'National Eye Institute. Age-Related Macular Degeneration (AMD) [Internet]. [cited 2018 Jun 26]. Available from: https://nei.nih.gov/health/maculardegen\n\n'},{id:"B18",body:'Wood JM, Lacherez PF, Black AA, Cole MH, Boon MY, Kerr GK. Postural stability and gait among older adults with age-related maculopathy. Investigative Ophthalmology and Visual Science. 2009;50(1):482-487\n'},{id:"B19",body:'Chatard H, Tepenier L, Jankowski O, Aussems A, Allieta A, Beydoun T, et al. Effects of age-related macular degeneration on postural sway. Frontiers in Human Neuroscience. 2017;11(March):1-9. Available from: http://journal.frontiersin.org/article/10.3389/fnhum.2017.00158/full\n\n'},{id:"B20",body:'Gupta P, Aravindhan A, Gan ATL, Man REK, Fenwick EK, Mitchell P, et al. Association between the severity of diabetic retinopathy and falls in an Asian population with diabetes the Singapore epidemiology of eye diseases study. JAMA Ophthalmology. 2017;135(12):1410-1416\n'},{id:"B21",body:'Lord SR, Clark RD, Webster IW. Visual acuity and contrast sensitivity in relation to falls in an elderly population. Age Ageing. 1991;20(3):175-181. Available from: https://academic.oup.com/ageing/article-lookup/doi/10.1093/ageing/20.3.175\n\n'},{id:"B22",body:'Lord SR, Menz HB. Visual contributions to postural stability in older adults. Gerontology. 2000;46(6):306-310\n'},{id:"B23",body:'Purves D, Augustine GJ, Fitzpatrick D, Hall WC, Lamantia A-S, Mcnamara JO, et al. The Vestibular System. In: Purves D, Augustine GJ, Fitzpatrick D, Hall WC, Lamantia A-S, Mcnamara JO, et al., editors. Neuroscience. 3rd ed. Sunderland: Sinauer Associates; 2004. p. 315?335\n'},{id:"B24",body:'Sedó-Cabezón L, Boadas-Vaello P, Soler-Martín C, Llorens J. Vestibular damage in chronic ototoxicity: A mini-review. Neurotoxicology. 2014;43:21-27\n'},{id:"B25",body:'Tian JR, Shubayev I, Baloh RW, Demer JL. Impairments in the initial horizontal vestibulo-ocular reflex of older humans. 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Available from: https://utpjournals.press/doi/10.3138/ptc.41.6.304\n\n'},{id:"B46",body:'Santos GM, Souza ACS, Virtuoso JF, Tavares GMS, Mazo GZ. Valores preditivos para o risco de queda em idosos praticantes e não praticantes de atividade física por meio do uso da escala de equilíbrio de berg. Revista Brasileira de Fisioterapia. 2011;15(2):95-101\n'},{id:"B47",body:'Guralnik JM, Simonsick EM, Ferrucci L, Glynn RJ, Berkman LF, Blazer DG, et al. A short physical performance battery assessing lower extremity function: Association with self-reported disability and prediction of mortality and nursing home admission. Journals of Gerontology. 1994;49(2):M85-M94. Available from: https://academic.oup.com/geronj/article-lookup/doi/10.1093/geronj/49.2.M85\n\n'},{id:"B48",body:'Veronese N, Bolzetta F, Toffanello ED, Zambon S, De Rui M, Perissinotto E, et al. Association between short physical performance battery and falls in older people: The Progetto Veneto Anziani Study. Rejuvenation Research. 2014;17(3):276-284. Available from: http://online.liebertpub.com/doi/abs/10.1089/rej.2013.1491\n\n'},{id:"B49",body:'Podsiadlo D, Richadson S. The timed “Up and Go” test: A test of basic functional mobility for frail elderly persons. Journal of the American Geriatrics Society. 1991;39(2):142-148\n'},{id:"B50",body:'Rose D, Jones C, Lucchese N. Predicting the probability of falls in community-residing older adults using the 8-foot up- and-go: A new measure of functional mobility. Journal of Aging and Physical Activity. 2002;10(4):466-475\n'},{id:"B51",body:'Costa J, Gonçalves C, Rodrigues G, de Paula A, Pereira M, Safons M. Exercícios multisensoriais no equilíbrio e na prevenção de quedas em idosos [Internet]. 2009. Available from: http://www.efdeportes.com/efd135/exercicios-multisensoriais-em-idosos.htm\n\n'},{id:"B52",body:'Prata MG, Scheicher ME. Effects of strength and balance training on the mobility, fear of falling and grip strength of elderly female fallers, Journal of Bodywork and Movement Therapies. 2015;19(4):646-650. DOI: 10.1016/j.jbmt.2014.11.013\n'},{id:"B53",body:'Gil-Gómez JA, Lloréns R, Alcñiz M, Colomer C. Effectiveness of a Wii balance board-based system (eBaViR) for balance rehabilitation: A pilot randomized clinical trial in patients with acquired brain injury. Journal of NeuroEngineering and Rehabilitation. 2011;8(1):30 Available from: http://www.jneuroengrehab.com/content/8/1/30\n\n'},{id:"B54",body:'Clark RA, Bryant AL, Pua Y, McCrory P, Bennell K, Hunt M. Validity and reliability of the Nintendo Wii Balance Board for assessment of standing balance. Gait Posture. 2010;31(3):307-310. Available from: https://www.sciencedirect.com/science/article/pii/S096663620900664X?via%3Dihub\n\n'},{id:"B55",body:'Carvalho IF, Leme GLM, Scheicher ME. The influence of video game training with and without subpatelar bandage in mobility and gait speed on elderly female fallers. Journal of Aging Research [Internet]. 2018;2018:9415093. Published 2018 Mar 26. DOI: 10.1155/2018/9415093\n'},{id:"B56",body:'Visintin M, Barbeau H. The effects of body weight support on the locomotor pattern of spastic paretic patients. Canadian Journal of Neurological Sciences. 1989;16(3):315-325\n'},{id:"B57",body:'Dietz V. Spinal cord pattern generators for locomotion. Clinical Neurophysiology. 2003;114(8):1379-1389\n'},{id:"B58",body:'Asanuma H, Keller A. Neuronal mechanisms of motor learning in mammals. Neuroreport. 1991;2:217-224\n'},{id:"B59",body:'Toole T, Maitland C, Warren E, Hubmann M, Panton L. The effects of loading and unloading treadmill walking on balance, gait, fall risk, and daily function in Parkinsonism. NeuroRehabilitation. 2005;20(4):302-322\n'},{id:"B60",body:'Frenkel-Toledo S, Giladi N, Peretz C, Herman T, Gruendlinger L, Hausdorff JM. Treadmill walking as an external pacemaker to improve gait rhythm and stability in Parkinson’s disease. Movement Disorders. 2005;20(9):1109-1114\n'},{id:"B61",body:'Herman T, Giladi N, Gruendlinger L, Hausdorff JM. Six weeks of intensive treadmill training improves gait and quality of life in patients with Parkinson’s disease: A pilot study. Archives of Physical Medicine and Rehabilitation. 2007;88(9):1154-1158\n'},{id:"B62",body:'Abbasian S, Rastegar MMM. Is the intensity or duration of treadmill training important for stroke patients? A meta-analysis. Journal of Stroke & Cerebrovascular Diseases. 2018;27(1):32-43. DOI: 10.1016/j.jstrokecerebrovasdis.2017.09.061\n'},{id:"B63",body:'Sullivan KJ, Brown DA, Klassen T, Mulroy S, Ge T, Azen SP, et al. Effects of task-specific locomotor and strength training in adults who were ambulatory after stroke: Results of the STEPS randomized clinical trial. Physical Therapy. 2007;87(12):1580-1602. Available from: https://academic.oup.com/ptj/article-lookup/doi/10.2522/ptj.20060310\n\n'},{id:"B64",body:'Barbeau H, Visintin M. Optimal outcomes obtained with body-weight support combined with treadmill training in stroke subjects. Archives of Physical Medicine and Rehabilitation. 2003;84(10):1458-1465\n'},{id:"B65",body:'Hesse S. Treadmill training with partial body weight support after stroke: A review. NeuroRehabilitation. 2008;23(1):55-65\n'},{id:"B66",body:'Bjornson KF, Moreau N, Bodkin AW. Short-burst interval treadmill training walking capacity and performance in cerebral palsy: A pilot study. Developmental Neurorehabilitation. 2018;16:1-8. Available from: https://www.tandfonline.com/doi/full/10.1080/17518423.2018.1462270\n\n'},{id:"B67",body:'Mattern-Baxter K, McNeil S, Mansoor JK. Effects of home-based locomotor treadmill training on Gross Motor Function in young children with cerebral palsy: A quasi-randomized controlled trial. Archives of Physical Medicine and Rehabilitation. 2013;94(11):2061-2067. DOI: 10.1016/j.apmr.2013.05.012\n'},{id:"B68",body:'Dorfman M, Herman T, Brozgol M, Shema S, Weiss A, Hausdorff J, et al. Dual-task training on a treadmill to improve gait and cognitive function in elderly idiopathic fallers. Journal of Neurologic Physical Therapy. 2014;38(4):246-253\n'},{id:"B69",body:'van Ooijen MW, Roerdink M, Trekop M, Visschedijk J, Janssen TW, Beek PJ. Functional gait rehabilitation in elderly people following a fall-related hip fracture using a treadmill with visual context: Design of a randomized controlled trial. BMC Geriatrics. 2013;13:34\n'}],footnotes:[],contributors:[{corresp:null,contributorFullName:"Natália Moya Rodrigues Pereira",address:null,affiliation:'
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The delaminated surface constituted of 45°//0 layers. Specimens were tested using mode I double cantilever beam (DCB), mode II end-notched flexure (ENF) and mixed-mode I+II mixed-mode flexure (MMF) tests at constant crosshead speed of 1 mm/min. Results showed that the fracture toughness increased with the mode II component. Specifically, the mode I, mode II and mixed-mode I+II fracture toughness were 508.17, 1676.26 and 927.52 N/m, respectively. When the fracture toughness values were fitted using the Benzeggagh-Kenane (BK) criterion, it was found that the best-fit material parameter, η, was attained at 1.21. Furthermore, fibre bridging was observed in DCB specimens, where the steady-state fracture toughness was approximately 80% higher compared to the mode I fracture toughness. Finally, through scanning electron micrographs, it was found that there was resin-rich region at the crack tip of the specimens. In addition, fibre debonding of the 45°layer was found to be dominant in the DCB specimens. Significant shear cusps were noticed in the ENF specimens. As for the MMF specimens, matrix cracking and fibre debonding of the 0°layer were observed to be the major failure mechanisms.",signatures:"Mahzan Johar, King Jye Wong and Mohd Nasir Tamin",authors:[{id:"196884",title:"Prof.",name:"Mohd Nasir",surname:"Tamin",fullName:"Mohd Nasir Tamin",slug:"mohd-nasir-tamin",email:"nasirtamin@utm.my"},{id:"197028",title:"Dr.",name:"King Jye",surname:"Wong",fullName:"King Jye Wong",slug:"king-jye-wong",email:"kjwong@mail.fkm.utm.my"},{id:"203971",title:"Dr.",name:"Mahzan",surname:"Johar",fullName:"Mahzan Johar",slug:"mahzan-johar",email:"mahzan_mj@yahoo.com"}],book:{title:"Failure Analysis and Prevention",slug:"failure-analysis-and-prevention",productType:{id:"1",title:"Edited Volume"}}}],collaborators:[{id:"3420",title:"Dr.",name:"Ivanka",surname:"Stanimirović",slug:"ivanka-stanimirovic",fullName:"Ivanka Stanimirović",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/3420/images/system/3420.jpeg",biography:"Dr. Ivanka Stanimirović has been involved in research and development work for the last 23 years. 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He has predominantly worked in the field of thick-film technology, particularly modeling of low-frequency noise in thick-resistive films. Over the years he has published more than 70 scientific manuscripts including 6 book chapters and participated in several scientific projects funded by Ministry of Education, Science and Technological Development of the Republic of Serbia. Dr. Z. Stanimirović is the recipient of the IEEE Transactions on Components & Packaging Technologies best paper award. His current research interests include Micro/Nano Electro-Mechanical Systems and micro- and nano-scale sensors.",institutionString:"Institute for Telecommunications and Electronics IRITEL",institution:null},{id:"174473",title:"Dr.",name:"Kelvii Wei",surname:"Guo",slug:"kelvii-wei-guo",fullName:"Kelvii Wei Guo",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"City University of Hong Kong",institutionURL:null,country:{name:"China"}}},{id:"196884",title:"Prof.",name:"Mohd Nasir",surname:"Tamin",slug:"mohd-nasir-tamin",fullName:"Mohd Nasir Tamin",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Technology Malaysia",institutionURL:null,country:{name:"Malaysia"}}},{id:"197028",title:"Dr.",name:"King Jye",surname:"Wong",slug:"king-jye-wong",fullName:"King Jye Wong",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Technology Malaysia",institutionURL:null,country:{name:"Malaysia"}}},{id:"200271",title:"Dr.",name:"Baris",surname:"Sayin",slug:"baris-sayin",fullName:"Baris Sayin",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Istanbul University",institutionURL:null,country:{name:"Turkey"}}},{id:"200273",title:"Dr.",name:"Cemil",surname:"Akcay",slug:"cemil-akcay",fullName:"Cemil Akcay",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"200275",title:"Dr.",name:"Baris",surname:"Yildizlar",slug:"baris-yildizlar",fullName:"Baris Yildizlar",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"200276",title:"MSc.",name:"Tarik Serhat",surname:"Bozkurt",slug:"tarik-serhat-bozkurt",fullName:"Tarik Serhat Bozkurt",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"219186",title:"Dr.",name:"Kary",surname:"Thanapalan",slug:"kary-thanapalan",fullName:"Kary Thanapalan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/219186/images/system/219186.jpeg",biography:"Dr. Kary Thanapalan received the B.Eng. (Hons) degree in control engineering from City University London, UK. Later he received the Ph.D. degree in aerospace control systems from the University of Liverpool, UK, and then conducted his research and development activities in various capacities. He has managed complete project from product concept design and development to production and resolving issues at each stage. He is currently working as a Senior Lecturer and Head of Research in Mechanical Engineering at the University of South Wales, UK. He is a leading researcher in the field of energy, control & automation, system engineering and material sciences . He has published over 80 research papers in peer reviewed international journals and refereed international conferences. He is a chartered engineer and a member of IET (CEng, MIET), and Member of the IAENG. He is also a Senior Fellow of the Higher Education Academy (SFHEA).",institutionString:"University of South Wales",institution:{name:"University of South Wales",institutionURL:null,country:{name:"United Kingdom"}}}]},generic:{page:{slug:"open-access-funding-funders-list",title:"List of Funders by Country",intro:"
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UK Research and Innovation (former Research Councils UK (RCUK) - including AHRC, BBSRC, ESRC, EPSRC, MRC, NERC, STFC.) Processing charges for books/book chapters can be covered through RCUK block grants which are allocated to most universities in the UK, which then handle the OA publication funding requests. It is at the discretion of the university whether it will approve the request.)
Wellcome Trust (Funding available only to Wellcome-funded researchers/grantees)
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