Main surfactants suggested as driver agents for the synthesis of mesoporous materials and their chemical structures.
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Degree in Chemistry from the Cairo University, Egypt, in 1998, and his Ph.D. Degree in Biochemistry from the University of Leeds (top 100 in the world). He was the head of the Group of Encapsulation and Nanobiotechnology at the Centre of Advanced Sciences in Egypt. Prof. Elnashar has 6 patents, and 11 Awards in teaching, research, and commercialization. His scientific interests include the production of nano to macro beads, biopolymers grafting, and immobilized enzyme",coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"12075",title:"Prof.",name:"Magdy",middleName:null,surname:"Elnashar",slug:"magdy-elnashar",fullName:"Magdy Elnashar",profilePictureURL:"https://mts.intechopen.com/storage/users/12075/images/system/12075.jpg",biography:"Prof. Magdy Elnashar was born in Cairo, Egypt in 1972. He recevied his M.Sc. 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His current position is the Head of Biopolymers & Nanobiotechnology Group at the Center of Excellence, National Research Center in Egypt. \nProf. Elnashar’s fields of interest are in the production of Nano to Macro Beads, Biopolymers Grafting, Immobilized Enzymes, Drug Delivery Systems, Nano Magnetic Particles, Diagnostic Kits (Immunology) and Water Purification.",institutionString:"Curtin University",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"1",totalChapterViews:"0",totalEditedBooks:"2",institution:{name:"Curtin University",institutionURL:null,country:{name:"Australia"}}}],coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"14",title:"Materials Science",slug:"materials-science"}],chapters:null,productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:{id:"466998",firstName:"Dragan",lastName:"Miljak",middleName:"Anton",title:"Mr.",imageUrl:"https://mts.intechopen.com/storage/users/466998/images/21564_n.jpg",email:"dragan@intechopen.com",biography:"As an Author Service Manager my responsibilities include monitoring and facilitating all publishing activities for authors and editors. 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In nature, it is found mainly in the mineral
In 1972, [13], obtained, for the first time, success in decomposition of water under irradiation with light and without application of any electric potential. They reported that, in trials where they employed n-type TiO2 as anode and Platinum as cathode, when TiO2 electrode illuminated under short-circuit conditions, hydrogen evolved from the Platinum electrode, while oxygen evolved from the anode. Since then, studies aimed at discovering and exploring different possibilities of technological application for TiO2 have been given great importance [14-22].
As technological applications for TiO2 can be cited its use in ultraviolet radiation absorbing filters [3, 23], in chemical sensors for gases [24-26], as a bactericide [27], in biomaterials for bone implants [28], in environmental photocatalysis [8, 24, 29, 30], in the photocatalytic hydrogen evolution [17, 31-36], in dye-sensitized solar cells [21, 37-44], among other.
The photocatalytic efficiency of TiO2 depends on its structural and morphological characteristics, which are related to the method of synthesis used in the preparation of nanoparticles [18, 21, 29, 45]. To be photoactive, favoring the photocatalysis process, besides being mainly consisting of anatase crystalline phase, the TiO2 must possess high specific surface area, good porosity, with high sized pores [35, 45, 46]. In this context, the search for TiO2 particles that have differentiated features, with catalytic properties potentiated, constitutes a field of intense activity [19, 20, 47-50].
The porosity, related to the presence of cavities, channels or interstices is of great importance since it is related to the ability of materials to interact with atoms, ions, molecules, and nanoparticles not only at their surfaces but also throughout the bulk [51, 52]. Thus, the control of porosity is very important if the objective is the development of new materials [53, 54].
The pores are classified as closed or open, considering the ability of porous materials to interact with their neighborhoods. Figure 1 shows various types of closed (a) or opened (b, c, f) pores.
Schematic representation of a porous solid, presenting the most common types of pores: (a) closed; (b, c, d) opened; (e) interconnected; (f) surface roughness. Font: [
Open pores have continuous channels that communicate to the outer surface of the material, generating a cross-linked structure. Closed pores are inactive for the flow of liquids, gases and other substrates, being totally isolated from their neighborhood. These pores are related to macroscopic properties such as mechanical resistance and thermal conductivity [55]. The pores can also be interconnected, (e). Otherwise used to classify the pores takes into account its format: bottleneck, (b), cylindrical, (c), and funnel type, (d). The surface roughness, represented by (f), is also a type of porosity [55].
Representation of the six main types of isotherm: I, microporous solids; II, non-porous solids; III, macroporous solids; IV and V, mesoporous solids; VI, non-porous solids with uniform surface.
IUPAC recommends a quantitative division of the pores in three classes according to their mean diameter: micropores, lower than 2 nm; mesopores, between 2 and 50 nm; macropores, higher than 50 nm [56]. This pore size classification is based on measurements of adsorption-desorption of N2 in boiling temperature and in the statistical width of layers of N2 adsorbed. The analysis of these data is usually done by using the Brunauer/Emmett/Teller method (BET), proposed by Stephen Brunauer, Paul Hugh Emmett e Edward Teller [57-59]. Applying BET, it is possible to describe the form of the adsorption and desorption isotherms for a specific solid. Knowing the format of the isotherm it is possible to define its porosity [60], Figure 2.
Microporous solids usually present a type I isotherm, whereas the isotherms II and III are related to non-porous solids finely divided or macroporous solids. Already the isotherms type IV and V present a hysteresis loop, a characteristic of mesoporous materials. The type IV hysteresis represents materials with uniform porosity, while type V hysteresis is referred to pores with non-defined forms and sizes. Finally, the type VI hysteresis is related to non-porous solids with almost uniform surface [60, 61].
Organized mesoporous nanostructured titanium dioxide (TiO2) is one of the most promising semiconductor materials, considering its current technological applications [19-21, 44, 60, 62-70]. The presence of pores in nanostructured materials tends to enhance their physical and chemical properties. Compared with bulk TiO2, the uniform channels in mesoporous TiO2 do not only increase the density of active sites with high accessibility but also facilitate the diffusion of reactants and products; the high surface area and large pore volume provides enhanced capability for dye loading and pollutant adsorption [60]. It is also possible to produce mesoporous TiO2 using template-free methods. However, these materials usually present disordered mesostructures as a result of the irregular packing of building blocks [60].
Certain surfactants are capable to act as drive agents, as structural templates, in the synthesis of a semiconductor oxide, promoting its organization. This process occurs due to the spontaneous organization of the critical nuclei of the oxide formed around the structures defined by the surfactant, which control the growth of the microstructures initially formed, resulting in ordered mesoporous materials. The structural control and manipulation of the physical characteristics of a mesoporous material depends on the nature and concentration of the surfactant employed in the synthesis process [21, 71].
For a well-succeeded action of the directing agent in the synthesis, the model and the inorganic species need to interact [71]:
S+I-: cationic surfactants are used as structural drivers for inorganic species negatively charged;
S-I+: anionic surfactants are used as structural drivers for positively charged inorganic species;
S+X-I+: the surfactant and inorganic species are positively charged in the presence of species of opposite charge acting as counter ion;
S-X+I-: the surfactant and inorganic species are negatively charged in the presence of a species of opposite charge, which acts as a counter ion;
Sº Iº: the surfactant has no load and the medium favors the neutrality of the inorganic species. In this case, the interaction between the species occurs through hydrogen bonds or dipole.
The concentration of surfactant in the reaction medium must be higher than the critical micelle concentration (CMC), which favors the auto mounting of micelles, originating bi and three-dimensional arrays responsible for empty spaces that will produce the nanoporous material [71].
Among the methodologies of synthesis, the methods of sol-gel and homogeneous precipitation best favor the control of morphology [58, 72, 73]. The term sol-gel involves several synthetic methodologies based on hydrolytic processes [19, 20, 59, 74]. Hydrolysis and condensation reactions involving the precursor allows the formation of colloidal particles (sol) and subsequent formation of three-dimensional networks (gel). This process ensures a good homogeneity for the reaction product, leading, in general, to metastable phases, amorphous or not [50]. In the case of amorphous materials, a step of crystallization for oxides formed is required.
The use of solvothermal conditions is an alternative for conversion of the amorphous material to crystalline without the use of high temperatures [60, 73]. The solvothermal method consists in the dissolution of a metallic precursor in anhydrous benzyl alcohol and heating at temperatures above 423K. Under these conditions, the alcoholic hydroxyl group connects partially to the metal ion starting a polycondensation reaction. The steric hindrance, due to the greater volume of the organic group, tends to control the formation of nanoparticles which tend to stabilize in smaller sizes and narrower size dispersions than the obtained in the sol-gel process [75].
The hydrothermal method is a particularity of the solvothermal method in which the solvent is water. Under hydrothermal conditions the solubility of the amorphous particles increases significantly and the crystallization can occur concurrently with processes of re-dissolution and re-precipitation in the crystalline core [50, 76, 77]. This method has been widely used, since small variations in the main synthesis parameters (pH, concentration of precursor, among others) can cause significant changes in morphology, size, chemical constitution, between other properties of the synthesized nanostructures.
The homogeneous precipitation method has also been studied enough due to its great versatility. In this case, chlorinated precursors of titanium or even titanium tetraisopropoxide react with a base (sodium or ammonium hydroxide) forming titanium hydroxide. This compound is converted through the loss of water in amorphous TiO2, which, under different thermal treatments, gives rise to the three known crystalline forms [78].
The combination between these strategies of synthesis and the use of molecular templates warrants a better control in obtaining ordered mesoporous materials. In this sense, two approaches can be highlighted: the soft template and hard template methods [60].
Representative scheme of the Soft-templating (A) and Hard-templating (B) methods, used in the synthesis of mesoporosos materials.
The soft-templating method consists in the use of a template in the liquid phase, being widely used in the sol-gel processes based on titanium precursors. Due to its high chemical reactivity these precursors tend to suffer hydrolysis, giving rise to dense precipitates very quickly. The self-structuration of surfactants can produce mesostructures at the sol particle. This occurs by the spontaneous organization of molecules around automounted micelle structures, usually in aqueous medium, giving rise to colloidal nanocrystals.
Studies have suggested that two mechanisms are related to the formation of mesoporous materials via soft-templating method [71, 79-81]. The first, known as Cooperative Self-Assembly (CSA), and the second Liquid Crystal Template (LCT). In CSA, there is a simultaneous aggregation between the inorganic precursor and the surfactant, with the formation of a liquid crystal-like phase with cubic, hexagonal or lamellar arrangement, containing both micelles and the inorganic precursor. On the other hand, in the LCT mechanism the concentration of surfactant is so high that a liquid-crystalline phase is formed without the presence of inorganic precursors. In both mechanisms, after formation of the material is necessary to remove the template for the obtaining of porosity. For this, the procedure most commonly used is the calcination [71].
Formation of mesoporous structures: (A) Cooperative self-assembly process (CSA), and (B) Liquid–crystal templating process (LCT).
Chiola, Ritsko and coworkers, reported in 1971 the obtaining of mesoporous silica [82]. However, the special characteristics of the produced materials did not were at first explained because the absence of adequate methods of analysis. In 1990, scientists from Mobil Oil Corporation [83], reported obtaining of mesoporous silicate molecular sieves, denoted by M41s, synthesized using a supramolecule-templating process, giving rise to a new and fascinating research field. Subsequently, efforts have been concentrated in studies related to synthesis and applications of mesoporous materials [9, 72, 84-91].
In 1995, the preparation of mesoporous TiO2 using sol-gel method associated with a surfactant as structural template were at first reported [92]. Since then, efforts have been spent on the proposition of methods of synthesis of ordered mesoporous TiO2, aiming to contribute to the improvement of the photocatalytic activity of this material, aiming its different applications [93-96].
Nanometric structures of mesoporous TiO2 were produced using the sol-gel methodology, under acidic (pH 3 to 4) and alkaline (pH 7 to 9) media, using cetyl trimethyl ammonium bromide (CTAB), sodium dodecyl benzenesulphonate (DBS) and nonylphenol ethoxylate as surfactants (NPE) [72]. The effect of the surfactant and pH on morphology, particle size, surface area, and pore size distribution was studied being the synthesized oxides evaluated considering the degradation of naphthalene. Using CTAB under acidic pH the nanometric material is 100% anatase, while under alkaline pH the material was produced in two crystalline phases, anatase (84.7%) and brookite (15.3%). In the presence of DBS, under acidic pH, 83% of the crystalline phase was anatase and 17% rutile, while under alkaline pH, 100% was anatase. However, using NPE a mixture 94.7% anatase and 5.3% rutile was produced under acidic pH, while under alkaline pH the phases are anatase and brookite (8.28%).The authors suggested that the good result obtained for the degradation of naphthalene (97% up to 4 h under irradiation in the visible - λ > 400 nm) using the mesoporous material obtained in the presence of CTAB in acidic medium is due to the surface area (86.7 cm3 g-1) and to the mean pore volume (0.0569 cm3 g-1).
A variant of the Soft Templating method is the Evaporation Induced Self Assembly (EISA) [97, 98]. It was originally designed for the preparation of fine films of mesostructured silica [79], and has been successful in obtaining different mesoporous materials (TiO2, ZrO2, Al2O3, Nb2O5, Ta2O5, WO3, HfO2, SnO2, etc) [79, 80]. In this method, organic solvents such as ethanol, propanol, etc, are used as reaction medium. By virtue of the use of non-aqueous medium and block copolymer surfactants, the rate of hydrolysis well as redox reactions and phase transformation are minimized. EISA presents advantages when compared to aqueous sol-gel reaction, such as more control and homogeneity in the formation of particles, high crystallinity in reaction temperatures between 373 and 573K.
Scheme presenting the most representative steps of Evaporation Induced Self-Assembly (EISA).
A methodology capable of producing monodisperse spheres of TiO2 at room temperature, using titanium (IV) butoxide (TBT) mixed to ethylene glycol, used as template, was proposed in [99]. The mixture was subsequently subjected to a conventional hydrothermal treatment. Thus, it was possible to obtain nanoparticles with surface area up to 233.2 m2 g-1 and mean pore volume of 0.27 cm3 g-1. The photocatalytic activity of the synthesized material was evaluated by degradation of methylene blue, Red MX-5B and phenolphthalein under UV irradiation, when were obtained kinetic constants of degradation of 6.7, 13.2, and 14.7 w% min-1, respectively, attributed to the greater surface area of the catalyst. The synthesis of TiO2 spheres based on EISA, using titanium (IV) tetra isopropoxide and Triton X-100 has been also reported, aiming their application in DSSCs [100]. The particle size could be controlled changing the Ti/H2O molar ratio and adjusted between 500 and 1100 nm, with a surface area of 56-151 cm2 g-1.
Using the EISA strategy excellent catalysts based on CeO2, capable to oxidize harmful gases, as CO, NOx and hydrocarbons, in non-toxic gases, were synthesized [81]. The tribloc copolymer P123 and polyvinyl pyrrolidone (PVP) were used as templates. In this way, were obtained catalysts with different pore sizes (about 40 μm, 2 μm and < 0.3 μm) and specific surface area of 32.5 m2 g-1.
Damages to the mesoporous structure can occur due to the presence of residual templates, as for example the blocking of pores or even poisoning of catalytic sites on the surface of the mesoporous material. Calcination has been pointed as a way to promote the elimination of some surfactants [101]. Non-ionic surfactants, as Triton X-100, can be easily removed by washing of the oxide formed [102].
In the hard-templating method the solid is formed around a template, usually zeolites and meso and macroporous silica, via interactions between the template and the precursor [60]. This methodology is more complex when compared to the soft-templating method. However, it is highly effective in obtaining mesoporous structures [103]. By applying this methodology nanostructures are formed on surface of the templates [104].
The obtaining of uniform nanospheres of TiO2 based on hard-templating methodology, using silica as template and (NH4)2TiF6 as precursor, has been proposed [105]. This material presented surface area of 54.2 m2 g-1 and pore volume of 0.15 cm3 g-1. The photocatalytic activity of this material was evaluated regarding the degradation of the dyes methylene blue, rhodamine B and methyl-orange. The levels of degradation were respectively 95%, 95% and 90%. This result was attributed to the high surface area and charge separation in these monodisperse materials.
In reference [106] the obtaining of mesoporous TiO2 is proposed using the combination of hard-and soft-tamplating methods. Using mesoporous silica in the first step (hard-templating) and Pluronic P123 as driver agent in the soft-templating stage, to control of morphology of the particles, was possible the production of three-dimensionally ordered mesopores with surface area of 145 m2 g-1 and pore volume of 0.246 cm3 g-1. Due to the porous of the material obtained and the three-dimensional periodicity of the spheres, the authors highlight the possible applications that these materials can have, as in environmental photocatalysis, solar cells and in lithium rechargeable batteries. Finally, the authors highlight the ease with which this methodology can be extended for the synthesis of other mesoporous metal oxides.
Figure 6 presents the main differences between the hard and soft template methods, while Table 1 presents the structure of the main surfactants suggested as driver agents for the synthesis of mesoporous materials.
Comparison between hard and soft templating [
\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t
Polyethylene glycol | \n\t\t\t\n\t\t\t\t | \n\t\t\t[108, 109] | \n\t\t
Triton X-100 | \n\t\t\t\n\t\t\t\t | \n\t\t\t[109-112] | \n\t\t
Ethyl cellulose | \n\t\t\t\n\t\t\t\t | \n\t\t\t[77, 113, 114] | \n\t\t
1-hexadecyl | \n\t\t\t\n\t\t\t\t | \n\t\t\t[115] | \n\t\t
Acetylacetone | \n\t\t\t\n\t\t\t\t | \n\t\t\t[115] | \n\t\t
Isopropanol | \n\t\t\t\n\t\t\t\t | \n\t\t\t[115] | \n\t\t
Sodium dodecyl sulfate | \n\t\t\t\n\t\t\t\t | \n\t\t\t[116] | \n\t\t
Cetyltrimethyl ammonium bromide | \n\t\t\t\n\t\t\t\t | \n\t\t\t[5, 110, 117, 118] | \n\t\t
Cetyltrimethyl ammonium chloride | \n\t\t\t\n\t\t\t\t | \n\t\t\t[5] | \n\t\t
Hexamethylene tetramine | \n\t\t\t\n\t\t\t\t | \n\t\t\t[118] | \n\t\t
Benzalkonium chloride | \n\t\t\t\n\t\t\t\t | \n\t\t\t[5] | \n\t\t
Polyvinyl pyrrolidone | \n\t\t\t\n\t\t\t\t | \n\t\t\t[118] | \n\t\t
Pluronic P123 | \n\t\t\t\n\t\t\t\t | \n\t\t\t[62] | \n\t\t
Main surfactants suggested as driver agents for the synthesis of mesoporous materials and their chemical structures.
One of the potential applications of heterogeneous photocatalysis is the environmental remediation [8, 20, 74, 119-122]. Different semiconductor oxides have shown to be capable of triggering photocatalytic, highlighting the TiO2 [19, 20, 123]. In this context, nanostructured materials tend to favor the photocatalytic applications of these materials [60].
Kim and Kwak reported studies where the photocatalytic activity of a mesoporous TiO2 prepared using di-block copolymers via sol-gel synthesis was evaluated, using methylene blue as oxidizable substrate [50]. The materials with small crystallite size (about 5.1 nm), high surface area (about 210 m2 g-1) and small pore size distribution were the ones who exhibited the best photocatalytic activities, using ultraviolet radiation, with apparent constants of degradation around 0.093 min-1. The particles synthesized presented spherical morphology with surface areas dependent on the type of di-block copolymer used.
In [58] is related a sol-gel synthesis of a TiO2 with intermediate porosity, under hydrothermal conditions using a water-soluble cationic surfactant, obtaining a mesoporous TiO2 with maximum pore size of 6.9 nm and maximum surface area of 284 m2 g-1. The synthesized material had its photocatalytic activity evaluated on degradation of methylene blue. The synthesized product showed to be superior (95%) to TiO2 P25 (24%), using irradiation with UV radiation under the same reaction conditions. The greater photocatalytic efficiency was attributed to the higher surface area, when compared to this parameter measured to TiO2 P25 (50 m2 g-1), and the ordination of the synthesized material, attributed to the use of the surfactant.
The synthesis of a TiO2 supported on SBA-15 mesoporous silica, reported in [124], resulted in materials efficient to degrade photocatalytic phenols. SBA-15 silica presents hexagonal arrangement and bi-dimensional pores with diameter up to 30 nm. The materials obtained have surface area of 361.4 m2 g-1 and pore volume of 1.217 cm3 g-1.
Hydrogen production via heterogeneous photocatalysis based in the electronic excitation of a semiconductor material using UV-Visible radiation is promising for the production of clean and sustainable energy [19, 54, 125]. Generally speaking, this process is based on the electronic excitation of the photocatalyst. From there, the photo-generated hole at the valence band reacts readily with a sacrificial reagent, while in conduction band electrons are trapped by a co-catalyst, being used in the reduction of H+ ions, with the production of hydrogen [126].
Mesoporous TiO2 of intermediate porosity have generally high surface area and high density of active sites, which tends to facilitate the diffusion of reagents, favoring the conversion of solar energy in photocatalytic reactions [41, 93, 127].
A porous composite based on TiO2 incorporated to silica MCM-48 (Mobil Crystalline Materials n° 48) was proposed as photocatalyst for hydrogen production [128]. The authors reported that the tetrahedrically coordinated TiO2 act as active sites on photocatalysis of water reducing the potential, facilitating the formation of gaseous hydrogen, even in the absence of a co-catalyst.
Microspheres of TiO2 doped with carbonates has also been proposed for hydrogen production under visible (λ > 400 nm) irradiation [129]. A rate of H2 production of 0.2 mmol h-1 g-1 was achieved using the photocatalyst charged with 1 wt% Pt. The photocatalytic performance was attributed to the characteristics of the mesoporous structure such as the diameter of the microspheres, between 0.5 and 4 μm, pore size in the range between 3 and 11 nm and high surface area (500 m2 g-1).
A mesoporous TiO2-SiO2 mixed oxide with molar ratio of 97:3, calcined at 773 K was also proposed for hydrogen production [66]. It produced hydrogen at a rate of 0.27 cm3 h-1 g-1, an expressive value when compared to the rate achieved using TiO2 P25 (0.17 cm3 h-1 g-1). This mixed oxide has characteristics that favored its photocatalytic activity, such as a surface area of 162 m2 g-1, pore diameter of 4.3 nm and pore volume of 0.24 cm3 g-1.
Mesoporosos materials have been used in the production of electrodes for Lithium ion batteries. Physical properties such as particle size, porosity and pore size determine the performance of this class of batteries [127]. The mesoporous structure favors the transport of electrolyte, facilitating the contact between the surface of the electrode and the electrolyte and shortening the path of diffusion of the Li+ ions.
These batteries have a long life cycle, rapid loading and unloading capacity, being capable to store high energy densities in a compact and lightweight container. Because of this, it has been used as power sources for portable electronic devices [127, 130, 131].
Mesoporous TiO2 is a promising material in this kind of battery by offering numerous advantages, such as high potential of ions insertion, low cost, low toxicity, easy synthesis and stability to pH variation [60]. Anatase is generally regarded as the most suitable polymorph of TiO2 for Li+ insertion, superior to rutile and with more stable structure than brookite. However, anatase with large particle sizes present poor performance due to its low capabilities to promote ionic diffusion and electronic conductivity [132, 133]. Thus, the control of particle size and porosity during its synthesis is imperative for obtaining materials with desirable characteristics.
The particle size influence on the dynamic process of storage of Li+ions, ensuring a significant increase on battery performance when the particle size is reduced. For example, the discharge capacity of TiO2 rutile with particles of 300 nm is 110 mAh g−1, while this same parameter for particle sizes of 30 and 15 nm is, respectively, 338 and 378 mAh g−1 [134].
Studies involving the application of mesoporous microspheres of anatase with regular porosity showed that pore structure significantly influences on specific capacity, speed capability and performance cycle of the batteries [60]. The materials with higher surface area had the best performance. It was also observed that when the pore size was very small, the transport of Li+ in the electrolyte was heavily restricted.
Solar cells have a great advantage when compared to conventional power generation systems, since in these solar energy can be directly converted into electric. The traditional solar cells are basically constituted by two layers of semiconductor materials, an n-p type pair. When photons with appropriate energy reach the semiconductor pair, electrons are excited producing electricity [135].
The first solar cells were based on crystalline silicon. Actually, studies are being conducted with the goal of developing efficient photovoltaic cells and low cost, since the crystalline silicon-based cells are of very high cost.
The solar cells can be classified as:
First generation solar cells, where are the silicon solar cells used commercially, which today correspond to about 86% of the solar cells market [136];
Second generation solar cells. More profitable than the first generation solar cells, but still less efficient;
Third generation solar cells, where are the dye-sensitized organic cells;
Hybrid solar cells [137].
In the organic solar cells are used semiconductor organic polymers or small and medium organic molecules, such as phthalocyanines, fullerenes, poly-(p-phenylenevinylene) (PPV). These cells can be produced on flexible substrates, and are promising in terms of production costs. On the other hand, they still have low efficiency, as well as some limitations, such as the possibility of degradation of the organic component.
In 2009, Park and co-workers developed an organic solar cell based on a polymer-fullerene composite, with a reasonable energetic efficiency (6.5%) [138].
Dye-sensitized solar cells, DSCs, Figure 7, are devices constituted by a semiconductor material, a sensitizer (dye), a conductive glass, an electrolyte and a platinum counter-electrode. Unlike conventional systems, where semiconductor assumes both the task of absorbing light as the charge carriage, in DSCs such functions are separated: the light is absorbed by a dye anchored to the surface of a semiconductor, and the charge separation occurs at the semiconductor-electrolyte interface [139].
Simplified diagram showing the functioning of DSCs.
A great leap in this area was given by [140] by using mesoporous nanocristalline TiO2 films in place of single crystals of oxide semiconductor as substrates for the adsorption of the sensitizer dye. The use of mesoporous films resulted in a significant increase in the conversion efficiency of incident light in current, IPCE, which went from 0.13 to 88% [141]. The principal reason for this was the increase in the amount of dye adsorbed due to the greater surface area in general available in the mesoporous films. Using mesoporous films, the overall efficiency of conversion of solar cells sensitized by dye reached 7% in the decade of 90 [140]. Actually, the best cells exceed the 13% [142, 143], confirming the feasibility of commercial applications of these devices.
The I-/I3-redox pair dissolved in nitriles is thermodynamically capable to reduce the photo oxidized dye on the surface of TiO2. The difference between the energy of the semiconductor conduction band and the redox potential of the electrolyte determines the maximum open-circuit potential than a DSC can achieve. Additionally, the kinetics of reduction is one or two orders of magnitude faster than the process of recombination between the electron in the conduction band of the oxide and the photo oxidized dye [144]. This difference makes the charge separation process in the TiO2-sensitizer-electrolyte interface to be very efficient. The disadvantages of using liquid electrolytes based on I-/I3-redox pair include the toxicity of species of iodine and the inner filter effect caused by the strong absorption of light in the visible region by I3-, which makes DSCs efficiency dependent on the exposed face.
The system TiO2/Ru(II) complex/(I-/I3-) is relatively simple and efficient, allowing a considerable advance in the understanding of the charge separation process from absorption of sunlight in sensitized semiconductors. However, this system presents challenges to be overcome, to its large-scale implementation. There stands out the high cost of the Ru(II) complexes, the high toxicity of the electrolyte and the and the need for an efficient sealing of the device in order to prevent the leakage of the electrolyte and the consequent loss of activity. Even so, modules up to 6000 cm2 have been produced [145].
Alternatively, several other materials have been proposed to build DSCs. Organic compounds, such as indole and anthocyanins derivatives also have been proposed as sensitizers [146-150]. Recently, [151] described DSCs possessing efficiencies higher than 12% using a Zn(II) porphyrine as sensitizer and Co(II)/(III) complexes as redox pair. Another approach that has attracted much attention involves the use of solid systems that, at first, dispense step of sealing and increase solar cell stability in real conditions of operation [152-155].
A major breakthrough in the development of solid DSCs has been achieved with the use of perovskites, as the CH3NH3PbI3, as sensitizers [156-158]. These compounds are chemically very stable and can be produced
Decrease of electronic recombination on the FTO/electrolyte interface due to the application of the blocking layer.
In all approaches described above, it is common the need to deposit multiple layers of semiconductor oxides with different functions. Besides the nanoporous layer, responsible for dye adsorption and transport of electrons, there is the blocking layer deposited on the surface of the substrate which is responsible for reduction of the electronic recombination on the substrate-electrolyte interface, Figure 8.
Additionally, scattering layers, composed of particles with size between 400 and 700 nm can be deposited, which contributes to a greater use of the incident light. Several proposals can be found in the literature in relation to different layers of metal oxides in DSCs. In these are included the use of different techniques of deposition and also various materials. The research groups working in this area agree that the deposition of different semiconductor oxide layers with different morphologies is indispensable for production of high efficiency DSCs [143, 161]. However, there is still no consensus on the best deposition technique to be employed and what better composition to be used for the different electrolytes.
Recently, we reported the production of contact-blocking layers using the
In this chapter, aspects related to obtaining and application of mesoporous nanostructured materials in photocatalytic processes had been addressed, emphasizing its application in advanced oxidative processes, increasing the overall efficiency of conversion in dye sensitized solar cells, manufacturing of electrodes for lithium-ion batteries and hydrogen production, with focus on TiO2. Although many advances have occurred, some challenges still needed to be overcome so that these materials become more efficient and economically viable. On the other hand, the potential that mesoporous materials demonstrated and the improvements already achieved promote the study and development of what is a promising source of technological applications.
To Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Brazilian agencies for research funding and grants, by the support and funding.
What is digital transformation? According to Ebert and Duarte [1], Digital Transformation (DX) is “about adopting disruptive technologies to increase productivity, value creation, and the social welfare”. The above definition is quite general meaning that DX can be adopted in many circumstances and by many actors: governments (from local to national level), multilateral organizations, industries. Digitalization, and in particular the concept of Digital Twin, has applications in many different fields [2]: Health, Meteorology, Manufacturing, Education, Cities and Transportation, and Energy.
Indeed, DX is having a huge impact on society at large. For instance, concerning labour force, a report from the World Economic Forum [3] states that by 2025, as a consequence of digitalization, 85 million jobs will be destroyed, while 97 million new jobs will be created worldwide. Thus, new competencies and skills will be necessary in a digitally transformed world. Among the top skills listed in the WEF report are the following: Critical thinking and analysis, Active learning and learning strategies, Analytical thinking and innovation, Complex problem-solving, Systems analysis and evaluation. We can observe that a person with a background in mathematics possesses the above skills. More generally, STEM education will offer great opportunities in DX. A recent study [4] shows that in the US the automation and the use of robots in the productive environment has increased the enrolment at Universities and higher education levels in the field like Computer Science and Engineering. This shows an increasing awareness of the workforce of the importance of updating labour competencies.
This paper focuses in particular on the digital transformation of Industry. Throughout this paper, the term “Industry” means business and commerce, public and private research, development, and production facilities; in practice, all the activities that lie outside the field of academic research and education. For the industrial sector, DX leads to huge changes in how a company is managed and can also significantly affect customer satisfaction and product quality. The effects of digital transformation can be seen at many levels of an organization: the way employees work, how business processes operate, and how to collect, analyze, and use data. All the above considerations imply that DX does not mean simply the digitization of information. This is just a first indispensable step of a bigger transformation of the way a company is managed: in short, DX requires a digital culture within an enterprise [5].
Digitalization is enabled by a series of technologies:
But one of the most important technologies enabling the Digital Transformation is Mathematics. Modeling, Simulation, and Optimization methods (MSO) have demonstrated their usefulness for solving problems in real life: forecast of air pollution, image processing, filtration processes, cultural heritage conservation, just to mention a few. MSO are becoming very important in a digitalized world, since they make it possible to extract information and knowledge from the data collected. In fact, in the last years research have developed new mathematical tools to be applied, for example, in Digital Twins [6, 7]. And some authors have talked explicitly of an “Era of Mathematics” [8].
This paper will give an overview of the mathematical tools that can be applied in a digitally transformed enterprise. It is organized as follows. Section (2) will describe the two main approaches of applied mathematics to digitalization: Physics-Based and Data-Driven. We will depict the main differences and how they can be combined to increase their effectiveness, with an example from an Industrial case. Section 3 will introduce some tools from linear algebra that can be applied to process collected data. Finally, in a concluding section, we will summarize our points and stress the importance of promoting Mathematics towards Industry.
The Digital Transformation implies the use of mathematical models and methods to take advantage from the (possibly huge) amount of data collected by an enterprise about its own processes. When an enterprise wants to digitalize its processes it may apply a physics-based approach or a data-driven approach. The above approaches imply different methods to deal with a problem, each one with its pros and cons [9]. In recent years, however, Hybrid methods have been developed building on the two approaches. The hybrids have been developed in such a way to sum up the advantages of both model-based and data-driven approaches while reducing the disadvantages.
With the Physics-Based (PB) approach, we mean a description of the process or device based on first principles. Thus, the digital counterpart of the process is a mathematical model that describes the physics of the system taking into account all the relevant scales. Such an approach is also named Model-Based to emphasize the role of mathematical modeling.
Thus given a system to be digitized, the enterprise has to translate it in a mathematical model with a variable degree of complexity. The complexity of the model depends on the problem at hand and on the business objectives. The model can be used to monitor the performances of the system and then decide how to manage possible anomalies. How possible anomalies can be detected? Sensors are positioned on the system to collect data about its functions. The data are then compared with model output evaluating the residual,
where
Physics-based models can be powerful tools to create a Digital Twin. They can give great support in the first design of the digital system; in fact, they can give useful information on the processes to be described without great moles of data. As an example, physics-based modeling can give a first idea on what variables shall be monitored.
Physics-based models are characterized by transparency: this makes straightforward the interpretation of results.
Generalization is another important characteristic of PB models. The underline assumptions, as well as the approximations due to the development of the model determine the extent to which a model, can be generalized to other cases not previously considered. In general, in a PB approach, the limits of applications of a model are known in advance and this makes clear the range of problems it can describe.
One of the main problems of such an approach is the complexity of the resulting system of equations; in the presence of multiple processes interacting with one another (multi-physics systems) and at multiple spatial and/or temporal scales (multi-scale systems), the difficulty in solving the equations will increase very rapidly. Some techniques have been developed, such as Reduced Order Modeling, to diminish model and computational complexity and end up with a more manageable system of equations, while maintaining the accuracy of results [10].
Nevertheless, such an approach is the one that permits a automotive industry to do crash test only via numerical simulations and new applications of the PB are growing up. For example, we are now able to simulate the whole heartbeat where all the physical parts (electrophysiology, the passive and active mechanics of the cardiac muscle, the microscopic force generation in sarcomeres, the blood flow in the heart chambers, and the valve dynamic) concur to the final simulation, see [11].
PB approaches have been applied also in the field of building automation: in [12] the authors focused on predictive maintenance of biomass boilers trying to minimize user discomfort.
Data-Driven (DD) approach implies the use of methods from Machine Learning or even Deep Learning to exploit directly the data collected by sensors on system performance. Artificial Intelligence tools are suitable when very high amounts of data are available and can be used to find hidden patterns in the sample that cannot be discovered otherwise. Such a pattern can be refined whenever new data are collected. In such a way, we can say that the tool “learns from experiences”.
The methods applied are diverse and comprises the following:
Support Vector Machines
Artificial Neural Network
Convolutional Neural Network
Recurrent Neural Network
Generative Adversarial Network
The main advantage of the DD approach is the ease with which the solutions can be found, compared with the first principle approach. They have proven to be a very good alternative to PB models. If enough data are available, tools like neural networks can find hidden structures in very complex problems, where it is difficult to describe exactly the underlined physical structure. To give an example in the field of Material Sciences, in [13] the authors developed a Neural Network to simulate a Cellular Mechanical Metamaterial (CMM) and compared the performances with Direct Numerical Simulations (DNS), usually applied in this kind of problem. While the DNS needs about
The ability to generalize a DD model is very limited. A DD model can describe circumstances only spanned by the data already available. It will need a large number of new data to take into account a more general setting. The need for (possibly large) amount of information is an overall limit to the development of the DD approach; sometimes, one does not have sufficient data to describe properly a given process.
Another problem is the lack of transparency. DD model builds in general so-called
According to Gartner [15], thirty-seven percent of companies have implemented AI in some form, translating to a 270 percent increase over the last four years. Customers are accustomed to bots and AI mechanisms that provide, among others, recommendations on services such as Netflix or Spotify. Not surprisingly, 31 percent of companies plan to increase the share of artificial intelligence in their business.
Recently, some researchers attempted to compare the two approaches in order to understand the advantages and the disadvantages of both. For example, in [16] the authors compared PB and DD approaches to the problem of fault detection and isolation in an automotive application. They found the same performances for both approaches in terms of detection and robustness and described the main shortcomings of both. However, Moallemi and coauthors [17] applied both Model Based and DD models to the problem of Structural Monitoring of a building; they found that Model Based approach results in best performances and point out that scarcity of data limits the behavior of DD algorithms. Thus, the debate is still open on what is the best approach for digitalisation.
The recent tendency, however, is to take advantage of the benefits of both by building hybrid methods that mix together. First principles with data-intensive modeling [18, 19, 20]. In [21] the authors survey the research literature on this topic and propose a taxonomy of the developed methods. The integration of PB and DD approaches has several applications. PB models of complex processes require approximations to have a usable set of equations. Approximations are necessary whenever the process is not completely understood in all of its elements. This will introduce bias in model results. Another issue is due to the presence of physical parameters that have to be estimated some time with a small amount of data. On the other hand, Machine learning tools need a large amount of data to reproduce with precision a given process and have limited generalization capabilities. The use of DD techniques in combination with first principle modeling may help to overcome such limitations and this has been shown to be very useful in practice.
One attempt is the so-called
where
The interplay of Pb and DD approaches has been employed in Unmanned Aerial Vehicle (UAV) management; in [23], the authors present a Component Based Reduced Order Model coupled with Baysian state estimation to allow a small aircraft to adjust dynamically its trajectory.
Hybrid methods have been applied to describe a spring-mass system subjected to damping that evolves according to multiple time scales [24]; such an application is relevant for many industrial settings and is generally very difficult to solve numerically.
Through the technologies described it is possible to solve usual problems of engineering and computational mechanics but also to explore new fields in which up to now mathematical modeling had not been able to replace the experience or the direct control of the mechanism. One of the most interesting areas is that of predictive maintenance [25], already mentioned above. In some sectors, such as in aircraft maintenance, the benefits of having guidelines available to ensure the correct functioning of circulating machines are well known: in civil aeronautics, periodic checks and periodic replacements, for example, of bolts or panels subjected to greater stress is an established practice, but this practice comes from the combination of experience and modeling. On the other hand, it is well known that it is not at all easy in a complex system to keep all the components under control to have guarantees on correct functioning and to prevent possible failures and/or breakages. Machines are often equipped with many sensors that monitor correct operation, signaling anomalies on what each sensor is capable of measuring. Unfortunately, it is often only from the combination of information that the general picture is obtained, and therefore if only the single sensor is monitored, this information collected is not really helpful in decisions. Some industrial sectors, such as boating or highly automated production, would greatly benefit from the possibility of preventing critical situations before failures occur that can put in danger the correct functioning of the machinery. The modeling available to complex tools—which work on different scales and interact with each other—often has to overlook some effects and does not allow predictive models so accurate as to be able to help decision makers determine if or when to intervene with substitutions or repairs. Most of the time one can notice a problem when it is already too late.
The recent literature on predictive maintenance foresees the possibility of combining the effect of a control on the physics of phenomena, possibly linked to the information of the sensors, and of an experience given by the analysis of the available data processed through artificial intelligence. For example, in [26] the authors describe the use of hybrid techniques for controlling the operation of Computer Numerical Control (CNC) machines. These are fundamental briks in modern industries (from Wikipedia): “CNC is the automated control of machining tools (such as drills, lathes, mills and 3D printers) by means of a computer. A CNC machine processes a piece of material (metal, plastic, wood, ceramic, or composite) to meet specifications by following coded programmed instructions and without a manual operator directly controlling the machining operation.” Authors in [26] present how it is possible to build a digital twin that provides information on the expected behavior of the machine and at the same time, through the data collected by the sensors inside the machine, the on-situ behavior of the machine. Then, by taking a comparison of the two, this reveals a good ability to highlight anomalies, based on the physical modeling. At the same time, however, the acquisition of a large amount of data through sensors allows the elaboration of a database that also includes a sort of forecasting model: this increases the knowledge of the ongoing process and helps in prediction.
The use of hybrid approach helps to meet the targets of predictive maintenance:
Fault diagnosis
Fault forecast
Intelligent decision
Intelligent maintenance.
Now we consider how the tools coming from linear algebra can manage to solve the problems considered in the previous section. We consider both problems, namely the search of a model that can justify some available data and the case where the model is given and some prediction is done via numerical computations. What we present next is inspired by [27, 28], where readers can find full details of the topics introduced in this section.
First, we consider that a dataset is given; instances
Our modeling problem is to describe the dependence of the output from the input, so to identify a mathematical law
Such a problem, if settled out in the square (
When a model is given, this is used to predict the behavior of the quantity of interest for forecasting, i.e., in unseen cases. Mathematical models are relations involving, in many cases, operations that are not tabled or easily computable. In order to understand how the tools of applied mathematics apply in such cases, we can start from a general formulation where the quantity of interest is a
To begin with a simple example, consider the approximation/extrapolation of data. As in the previous section, the inputs are made of vectors of numbers
This problem is exactly in the same framework as the ones seen in the previous section: a matrix problem where the matrix is the so-called collocation matrix
Remark. The choice of the functions
Moving from the approximation of a given function to different scientific models, we encounter the case of equilibrium laws based on first principles, as described in the previous section on Physics-Based approach. Also in this case the unknown is a function but in this case, the model is written as a solution to a mathematical problem
instead of considering general functions, look for a solution written as a linear combination of simple functions where the operation can be done simply
instead of considering exact modeling approximate the operators and look for solutions in particular cases, ad example in fixed sites
Applied mathematics tools aim to introduce methods that translate the original model in some approximation that is consistent with the original formulation and gives an accurate approximation of the unknowns. The initial problem
Because many problems seen in this excursus are finally modeled via linear systems, we aim to present some of the ingredients that can be used for the resolution of linear systems. The problem written in (Linear System PB) is the one that we aim to solve.
As commented, the unknown vector
First of all we introduce the rank
An important feature when data are collected with some error—or “noise”—is that the rank of the matrix could be affected by this error: some columns can be linearly independent only for effect of the randomness of the noise. Then, a different preliminary analysis—the so-called feature selection—that reduces the dimension of the columns could be necessary. One possible way to proceed is by exploring the Singular Value Decompostion of the matrix and, in particular, the order of magnitude of the singular values. All these procedures that avoid the presence of redundancy on the feature collection, end up with the so-called active features. When this preprocessing of the data is done, we need to solve the problem of the determination of
Overdetermined linear problems are the ones where the number of features (or active features as described above) are less than the number of individuals, that is, the number of rows of the matrix
In the general cases, in order to solve the linear problem
What about the need for companies of such technologies? What we experience every day is that new technologies are deeply changing markets, as if this is “second wave of digital transformation”. In fact, Robotics, Machine Learning, Big Data and Artificial Intelligence are becoming more and more common.
Using properly DX, companies have the opportunity to optimize operating costs and thus increase process efficiency via new services. Additionally, the digitalization of company data produces the so-called “digital capital” made of huge amounts of information from various sources, which increases the possibility to settle out predictive models. This allows companies to better meet customers’ needs. DX is the present for companies that aim to remain competitive, and the use of simple mathematical tools opens up great opportunities in unexpected fields.
However, Enterprises are not completely aware of this point and how they would benefit from the application of Mathematical research in their daily operations. In the last few years, a new professional figure emerged world wide to promote:
MSO towards enterpises, and
Industry-Academic Collaborations.
The above role is played by the
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\n\nBook Chapters and Monographs
\n\nBook Chapters and Monographs
\n\n\n\nBook Chapters and Monographs
\n\nThe Claremont Colleges are pledging funds via the Knowledge Unlatched program to ensure academics can publish Open Access content more easily.
\n\nCorresponding authors will receive a 15% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters or monograph publications. To use the discount you will need to verify your institutional email address. These discounts are valid from 2020 to 2022.
\n\nThe University of Massachusetts, Amherst is pledging funds via the Knowledge Unlatched program to ensure academics can publish Open Access content more easily.
\n\nCorresponding authors will receive a 10% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters or monograph publications. To use the discount you will need to verify your institutional email address. These discounts are valid from 2020 to 2022.
\n\nThe University of Surrey is pledging funds via the Knowledge Unlatched program to ensure academics can publish Open Access content more easily.
\n\nCorresponding authors will receive a 10% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters or monograph publications. To use the discount you will need to verify your institutional email address. These discounts are valid from 2020 to 2022.
\n\nMonographs Only
\n\n\n\nImportant: You must be a member or grantee of the above listed institutions in order to apply for their Open Access publication funds.
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Blockchain technology has shown promising results for improving supply chain networks in recent applications and has already impacted our society and lifestyle by reshaping many business and industry processes. 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This new industrial paradigm will force our industries to manufacture much shorter and customized series at increasingly competitive prices, even tackling the manufacture of thousands of different configurations of a single base product. In order to achieve this, our production processes must have a flexibility in their configuration that has never been imagined before. This flexibility and ability to adapt automatically to demand are the essence of the Fourth Industrial Revolution and are part of the Western strategy to recover an industrial sector increasingly threatened by the Eastern production of large series at really competitive prices. Based on our participation in more than a dozen proofs of concept in the automotive, aeronautics, agri-food, or energy sectors, we describe the scenarios in which blockchain technology brings the greatest benefits to Industry 4.0. 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He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. 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He is an academic staff member of the Department of Reproduction and Artificial Insemination, Selçuk University, Turkey. He manages several studies on sperms and embryos and is an editorial board member for several international journals. His studies include sperm cryobiology, in vitro fertilization, and embryo production in animals.",institutionString:"Selçuk University, Faculty of Veterinary Medicine",institution:null},{id:"90846",title:"Prof.",name:"Yusuf",middleName:null,surname:"Bozkurt",slug:"yusuf-bozkurt",fullName:"Yusuf Bozkurt",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/90846/images/system/90846.jpg",biography:"Yusuf Bozkurt has a BSc, MSc, and Ph.D. from Ankara University, Turkey. He is currently a Professor of Biotechnology of Reproduction in the field of Aquaculture, İskenderun Technical University, Turkey. His research interests include reproductive biology and biotechnology with an emphasis on cryo-conservation. 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He received his Ph.D. in Molecular Biology with his thesis “Genetic variability of the tick-borne encephalitis virus in natural foci of Novosibirsk city and its suburbs.” His primary field is molecular virology with research emphasis on vector-borne viruses, especially tick-borne encephalitis virus, Kemerovo virus and Omsk hemorrhagic fever virus, rabies virus, molecular genetics, biology, and epidemiology of virus pathogens.",institutionString:"Russian Academy of Sciences",institution:{name:"Russian Academy of Sciences",country:{name:"Russia"}}},{id:"310962",title:"Dr.",name:"Amlan",middleName:"Kumar",surname:"Patra",slug:"amlan-patra",fullName:"Amlan Patra",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/310962/images/system/310962.jpg",biography:"Amlan K. Patra, FRSB, obtained a Ph.D. in Animal Nutrition from Indian Veterinary Research Institute, India, in 2002. 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In 1992, Dr. Babinszky obtained a Ph.D. in Animal Nutrition from the University of Wageningen. His main research areas are swine and poultry nutrition. He has authored more than 300 publications (papers, book chapters) and edited four books and fourteen international conference proceedings.",institutionString:"University of Debrecen",institution:{name:"University of Debrecen",country:{name:"Hungary"}}},{id:"201830",title:"Dr.",name:"Fernando",middleName:"Sanchez",surname:"Davila",slug:"fernando-davila",fullName:"Fernando Davila",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/201830/images/5017_n.jpg",biography:"I am a professor at UANL since 1988. My research lines are the development of reproductive techniques in small ruminants. We also conducted research on sexual and social behavior in males.\nI am Mexican and study my professional career as an engineer in agriculture and animal science at UANL. Then take a masters degree in science in Germany (Animal breeding). Take a doctorate in animal science at the UANL.",institutionString:null,institution:{name:"Universidad Autónoma de Nuevo León",country:{name:"Mexico"}}},{id:"309250",title:"Dr.",name:"Miguel",middleName:null,surname:"Quaresma",slug:"miguel-quaresma",fullName:"Miguel Quaresma",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/309250/images/9059_n.jpg",biography:"Miguel Nuno Pinheiro Quaresma was born on May 26, 1974 in Dili, Timor Island. He is married with two children: a boy and a girl, and he is a resident in Vila Real, Portugal. He graduated in Veterinary Medicine in August 1998 and obtained his Ph.D. degree in Veterinary Sciences -Clinical Area in February 2015, both from the University of Trás-os-Montes e Alto Douro. He is currently enrolled in the Alternative Residency of the European College of Animal Reproduction. 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He has 19 publications in indexed international journals (ISIS), as well as over 60 publications and oral presentations in both Portuguese and international journals and congresses.",institutionString:"University of Trás-os-Montes and Alto Douro",institution:{name:"University of Trás-os-Montes and Alto Douro",country:{name:"Portugal"}}},{id:"38652",title:"Prof.",name:"Rita",middleName:null,surname:"Payan-Carreira",slug:"rita-payan-carreira",fullName:"Rita Payan-Carreira",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRiFPQA0/Profile_Picture_1614601496313",biography:"Rita Payan Carreira earned her Veterinary Degree from the Faculty of Veterinary Medicine in Lisbon, Portugal, in 1985. She obtained her Ph.D. in Veterinary Sciences from the University of Trás-os-Montes e Alto Douro, Portugal. After almost 32 years of teaching at the University of Trás-os-Montes and Alto Douro, she recently moved to the University of Évora, Department of Veterinary Medicine, where she teaches in the field of Animal Reproduction and Clinics. Her primary research areas include the molecular markers of the endometrial cycle and the embryo–maternal interaction, including oxidative stress and the reproductive physiology and disorders of sexual development, besides the molecular determinants of male and female fertility. She often supervises students preparing their master's or doctoral theses. She is also a frequent referee for various journals.",institutionString:null,institution:{name:"University of Évora",country:{name:"Portugal"}}},{id:"283019",title:"Dr.",name:"Oudessa",middleName:null,surname:"Kerro Dego",slug:"oudessa-kerro-dego",fullName:"Oudessa Kerro Dego",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/283019/images/system/283019.png",biography:"Dr. Kerro Dego is a veterinary microbiologist with training in veterinary medicine, microbiology, and anatomic pathology. Dr. Kerro Dego is an assistant professor of dairy health in the department of animal science, the University of Tennessee, Institute of Agriculture, Knoxville, Tennessee. He received his D.V.M. (1997), M.S. (2002), and Ph.D. (2008) degrees in Veterinary Medicine, Animal Pathology and Veterinary Microbiology from College of Veterinary Medicine, Addis Ababa University, Ethiopia; College of Veterinary Medicine, Utrecht University, the Netherlands and Western College of Veterinary Medicine, University of Saskatchewan, Canada respectively. He did his Postdoctoral training in microbial pathogenesis (2009 - 2015) in the Department of Animal Science, the University of Tennessee, Institute of Agriculture, Knoxville, Tennessee. Dr. Kerro Dego’s research focuses on the prevention and control of infectious diseases of farm animals, particularly mastitis, improving dairy food safety, and mitigation of antimicrobial resistance. Dr. Kerro Dego has extensive experience in studying the pathogenesis of bacterial infections, identification of virulence factors, and vaccine development and efficacy testing against major bacterial mastitis pathogens. Dr. Kerro Dego conducted numerous controlled experimental and field vaccine efficacy studies, vaccination, and evaluation of immunological responses in several species of animals, including rodents (mice) and large animals (bovine and ovine).",institutionString:"University of Tennessee at Knoxville",institution:{name:"University of Tennessee at Knoxville",country:{name:"United States of America"}}},{id:"251314",title:"Dr.",name:"Juan Carlos",middleName:null,surname:"Gardón Poggi",slug:"juan-carlos-gardon-poggi",fullName:"Juan Carlos Gardón Poggi",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/251314/images/system/251314.jpeg",biography:"Juan Carlos Gardón Poggi received University degree from the Faculty of Agrarian Science in Argentina, in 1983. Also he received Masters Degree and PhD from Córdoba University, Spain. He is currently a Professor at the Catholic University of Valencia San Vicente Mártir, at the Department of Medicine and Animal Surgery. He teaches diverse courses in the field of Animal Reproduction and he is the Director of the Veterinary Farm. He also participates in academic postgraduate activities at the Veterinary Faculty of Murcia University, Spain. His research areas include animal physiology, physiology and biotechnology of reproduction either in males or females, the study of gametes under in vitro conditions and the use of ultrasound as a complement to physiological studies and development of applied biotechnologies. Routinely, he supervises students preparing their doctoral, master thesis or final degree projects.",institutionString:null,institution:{name:"Valencia Catholic University Saint Vincent Martyr",country:{name:"Spain"}}},{id:"309529",title:"Dr.",name:"Albert",middleName:null,surname:"Rizvanov",slug:"albert-rizvanov",fullName:"Albert Rizvanov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/309529/images/9189_n.jpg",biography:'Albert A. Rizvanov is a Professor and Director of the Center for Precision and Regenerative Medicine at the Institute of Fundamental Medicine and Biology, Kazan Federal University (KFU), Russia. He is the Head of the Center of Excellence “Regenerative Medicine” and Vice-Director of Strategic Academic Unit \\"Translational 7P Medicine\\". Albert completed his Ph.D. at the University of Nevada, Reno, USA and Dr.Sci. at KFU. He is a corresponding member of the Tatarstan Academy of Sciences, Russian Federation. Albert is an author of more than 300 peer-reviewed journal articles and 22 patents. He has supervised 11 Ph.D. and 2 Dr.Sci. dissertations. Albert is the Head of the Dissertation Committee on Biochemistry, Microbiology, and Genetics at KFU.\nORCID https://orcid.org/0000-0002-9427-5739\nWebsite https://kpfu.ru/Albert.Rizvanov?p_lang=2',institutionString:"Kazan Federal University",institution:{name:"Kazan Federal University",country:{name:"Russia"}}},{id:"210551",title:"Dr.",name:"Arbab",middleName:null,surname:"Sikandar",slug:"arbab-sikandar",fullName:"Arbab Sikandar",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/210551/images/system/210551.jpg",biography:"Dr. Arbab Sikandar, PhD, M. Phil, DVM was born on April 05, 1981. He is currently working at the College of Veterinary & Animal Sciences as an Assistant Professor. He previously worked as a lecturer at the same University. \nHe is a Member/Secretory of Ethics committee (No. CVAS-9377 dated 18-04-18), Member of the QEC committee CVAS, Jhang (Regr/Gen/69/873, dated 26-10-2017), Member, Board of studies of Department of Basic Sciences (No. CVAS. 2851 Dated. 12-04-13, and No. CVAS, 9024 dated 20/11/17), Member of Academic Committee, CVAS, Jhang (No. CVAS/2004, Dated, 25-08-12), Member of the technical committee (No. CVAS/ 4085, dated 20,03, 2010 till 2016).\n\nDr. Arbab Sikandar contributed in five days hands-on-training on Histopathology at the Department of Pathology, UVAS from 12-16 June 2017. He received a Certificate of appreciation for contributions for Popularization of Science and Technology in the Society on 17-11-15. He was the resource person in the lecture series- ‘scientific writing’ at the Department of Anatomy and Histology, UVAS, Lahore on 29th October 2015. He won a full fellowship as a principal candidate for the year 2015 in the field of Agriculture, EICA, Egypt with ref. to the Notification No. 12(11) ACS/Egypt/2014 from 10 July 2015 to 25th September 2015.; he received a grant of Rs. 55000/- as research incentives from Director, Advanced Studies and Research, UVAS, Lahore upon publications of research papers in IF Journals (DR/215, dated 19-5-2014.. He obtained his PhD by winning a HEC Pakistan indigenous Scholarship, ‘Ph.D. fellowship for 5000 scholars – Phase II’ (2av1-147), 17-6/HEC/HRD/IS-II/12, November 15, 2012. \n\nDr. Sikandar is a member of numerous societies: Registered Veterinary Medical Practitioner (life member) and Registered Veterinary Medical Faculty of Pakistan Veterinary Medical Council. The Registration code of PVMC is RVMP/4298 and RVMF/ 0102.; Life member of the University of Veterinary and Animal Sciences, Lahore, Alumni Association with S# 664, dated: 6-4-12. ; Member 'Vets Care Organization Pakistan” with Reference No. VCO-605-149, dated 05-04-06. :Member 'Vet Crescent” (Society of Animal Health and Production), UVAS, Lahore.",institutionString:"University of Veterinary & Animal Science",institution:{name:"University of Veterinary and Animal Sciences",country:{name:"Pakistan"}}},{id:"311663",title:"Dr.",name:"Prasanna",middleName:null,surname:"Pal",slug:"prasanna-pal",fullName:"Prasanna Pal",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/311663/images/13261_n.jpg",biography:null,institutionString:null,institution:{name:"National Dairy Research Institute",country:{name:"India"}}},{id:"202192",title:"Dr.",name:"Catrin",middleName:null,surname:"Rutland",slug:"catrin-rutland",fullName:"Catrin Rutland",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/202192/images/system/202192.png",biography:"Catrin Rutland is an Associate Professor of Anatomy and Developmental Genetics at the University of Nottingham, UK. She obtained a BSc from the University of Derby, England, a master’s degree from Technische Universität München, Germany, and a Ph.D. from the University of Nottingham. She undertook a post-doctoral research fellowship in the School of Medicine before accepting tenure in Veterinary Medicine and Science. Dr. Rutland also obtained an MMedSci (Medical Education) and a Postgraduate Certificate in Higher Education (PGCHE). She is the author of more than sixty peer-reviewed journal articles, twelve books/book chapters, and more than 100 research abstracts in cardiovascular biology and oncology. She is a board member of the European Association of Veterinary Anatomists, Fellow of the Anatomical Society, and Senior Fellow of the Higher Education Academy. Dr. Rutland has also written popular science books for the public. https://orcid.org/0000-0002-2009-4898. www.nottingham.ac.uk/vet/people/catrin.rutland",institutionString:null,institution:{name:"University of Nottingham",country:{name:"United Kingdom"}}},{id:"283315",title:"Prof.",name:"Samir",middleName:null,surname:"El-Gendy",slug:"samir-el-gendy",fullName:"Samir El-Gendy",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRduYQAS/Profile_Picture_1606215849748",biography:"Samir El-Gendy is a Professor of anatomy and embryology at the faculty of veterinary medicine, Alexandria University, Egypt. Samir obtained his PhD in veterinary science in 2007 from the faculty of veterinary medicine, Alexandria University and has been a professor since 2017. Samir is an author on 24 articles at Scopus and 12 articles within local journals and 2 books/book chapters. His research focuses on applied anatomy, imaging techniques and computed tomography. Samir worked as a member of different local projects on E-learning and he is a board member of the African Association of Veterinary Anatomists and of anatomy societies and as an associated author at local and international journals. Orcid: https://orcid.org/0000-0002-6180-389X",institutionString:null,institution:{name:"Alexandria University",country:{name:"Egypt"}}},{id:"246149",title:"Dr.",name:"Valentina",middleName:null,surname:"Kubale",slug:"valentina-kubale",fullName:"Valentina Kubale",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/246149/images/system/246149.jpg",biography:"Valentina Kubale is Associate Professor of Veterinary Medicine at the Veterinary Faculty, University of Ljubljana, Slovenia. Since graduating from the Veterinary faculty she obtained her PhD in 2007, performed collaboration with the Department of Pharmacology, University of Copenhagen, Denmark. She continued as a post-doctoral fellow at the University of Copenhagen with a Lundbeck foundation fellowship. She is the editor of three books and author/coauthor of 23 articles in peer-reviewed scientific journals, 16 book chapters, and 68 communications at scientific congresses. Since 2008 she has been the Editor Assistant for the Slovenian Veterinary Research journal. She is a member of Slovenian Biochemical Society, The Endocrine Society, European Association of Veterinary Anatomists and Society for Laboratory Animals, where she is board member.",institutionString:"University of Ljubljana",institution:{name:"University of Ljubljana",country:{name:"Slovenia"}}},{id:"258334",title:"Dr.",name:"Carlos Eduardo",middleName:null,surname:"Fonseca-Alves",slug:"carlos-eduardo-fonseca-alves",fullName:"Carlos Eduardo Fonseca-Alves",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/258334/images/system/258334.jpg",biography:"Dr. Fonseca-Alves earned his DVM from Federal University of Goias – UFG in 2008. He completed an internship in small animal internal medicine at UPIS university in 2011, earned his MSc in 2013 and PhD in 2015 both in Veterinary Medicine at Sao Paulo State University – UNESP. Dr. Fonseca-Alves currently serves as an Assistant Professor at Paulista University – UNIP teaching small animal internal medicine.",institutionString:null,institution:{name:"Universidade Paulista",country:{name:"Brazil"}}},{id:"245306",title:"Dr.",name:"María Luz",middleName:null,surname:"Garcia Pardo",slug:"maria-luz-garcia-pardo",fullName:"María Luz Garcia Pardo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/245306/images/system/245306.png",biography:"María de la Luz García Pardo is an agricultural engineer from Universitat Politècnica de València, Spain. She has a Ph.D. in Animal Genetics. Currently, she is a lecturer at the Agrofood Technology Department of Miguel Hernández University, Spain. Her research is focused on genetics and reproduction in rabbits. The major goal of her research is the genetics of litter size through novel methods such as selection by the environmental sensibility of litter size, with forays into the field of animal welfare by analysing the impact on the susceptibility to diseases and stress of the does. Details of her publications can be found at https://orcid.org/0000-0001-9504-8290.",institutionString:null,institution:{name:"Miguel Hernandez University",country:{name:"Spain"}}},{id:"350704",title:"M.Sc.",name:"Camila",middleName:"Silva Costa",surname:"Ferreira",slug:"camila-ferreira",fullName:"Camila Ferreira",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/350704/images/17280_n.jpg",biography:"Graduated in Veterinary Medicine at the Fluminense Federal University, specialist in Equine Reproduction at the Brazilian Veterinary Institute (IBVET) and Master in Clinical Veterinary Medicine and Animal Reproduction at the Fluminense Federal University. She has experience in analyzing zootechnical indices in dairy cattle and organizing events related to Veterinary Medicine through extension grants. I have experience in the field of diagnostic imaging and animal reproduction in veterinary medicine through monitoring and scientific initiation scholarships. I worked at the Equus Central Reproduction Equine located in Santo Antônio de Jesus – BA in the 2016/2017 breeding season. I am currently a doctoral student with a scholarship from CAPES of the Postgraduate Program in Veterinary Medicine (Pathology and Clinical Sciences) at the Federal Rural University of Rio de Janeiro (UFRRJ) with a research project with an emphasis on equine endometritis.",institutionString:null,institution:null},{id:"41319",title:"Prof.",name:"Lung-Kwang",middleName:null,surname:"Pan",slug:"lung-kwang-pan",fullName:"Lung-Kwang Pan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/41319/images/84_n.jpg",biography:null,institutionString:null,institution:null},{id:"125292",title:"Dr.",name:"Katy",middleName:null,surname:"Satué Ambrojo",slug:"katy-satue-ambrojo",fullName:"Katy Satué Ambrojo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/125292/images/system/125292.jpeg",biography:"Katy Satué Ambrojo received her Veterinary Medicine degree, Master degree in Equine Technology and doctorate in Veterinary Medicine from the Faculty of Veterinary, CEU-Cardenal Herrera University in Valencia, Spain.Dr. Satué is accredited as a Private University Doctor Professor, Doctor Assistant, and Contracted Doctor by AVAP (Agència Valenciana d'Avaluació i Prospectiva) and currently, as a full professor by ANECA (since January 2022). To date, Katy has taught 22 years in the Department of Animal Medicine and Surgery at the CEU-Cardenal Herrera University in undergraduate courses in Veterinary Medicine (General Pathology, integrated into the Applied Basis of Veterinary Medicine module of the 2nd year, Clinical Equine I of 3rd year, and Equine Clinic II of 4th year). Dr. Satué research activity is in the field of Endocrinology, Hematology, Biochemistry, and Immunology in the Spanish Purebred mare. She has directed 5 Doctoral Theses and 5 Diplomas of Advanced Studies, and participated in 11 research projects as a collaborating researcher. She has written 2 books and 14 book chapters in international publishers related to the area, and 68 scientific publications in international journals. Dr. Satué has attended 63 congresses, participating with 132 communications in international congresses and 19 in national congresses related to the area. Dr. Satué is a scientific reviewer for various prestigious international journals such as Animals, American Journal of Obstetrics and Gynecology, Veterinary Clinical Pathology, Journal of Equine Veterinary Science, Reproduction in Domestic Animals, Research Veterinary Science, Brazilian Journal of Medical and Biological Research, Livestock Production Science and Theriogenology, among others. Since 2014 she has been responsible for the Clinical Analysis Laboratory of the CEU-Cardenal Herrera University Veterinary Clinical Hospital.",institutionString:null,institution:null},{id:"201721",title:"Dr.",name:"Beatrice",middleName:null,surname:"Funiciello",slug:"beatrice-funiciello",fullName:"Beatrice Funiciello",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/201721/images/11089_n.jpg",biography:"Graduated from the University of Milan in 2011, my post-graduate education included CertAVP modules mainly on equines (dermatology and internal medicine) and a few on small animal (dermatology and anaesthesia) at the University of Liverpool. After a general CertAVP (2015) I gained the designated Certificate in Veterinary Dermatology (2017) after taking the synoptic examination and then applied for the RCVS ADvanced Practitioner status. After that, I completed the Postgraduate Diploma in Veterinary Professional Studies at the University of Liverpool (2018). My main area of work is cross-species veterinary dermatology.",institutionString:null,institution:null},{id:"291226",title:"Dr.",name:"Monica",middleName:null,surname:"Cassel",slug:"monica-cassel",fullName:"Monica Cassel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/291226/images/8232_n.jpg",biography:'Degree in Biological Sciences at the Federal University of Mato Grosso with scholarship for Scientific Initiation by FAPEMAT (2008/1) and CNPq (2008/2-2009/2): Project \\"Histological evidence of reproductive activity in lizards of the Manso region, Chapada dos Guimarães, Mato Grosso, Brazil\\". Master\\\'s degree in Ecology and Biodiversity Conservation at Federal University of Mato Grosso with a scholarship by CAPES/REUNI program: Project \\"Reproductive biology of Melanorivulus punctatus\\". PhD\\\'s degree in Science (Cell and Tissue Biology Area) \n at University of Sao Paulo with scholarship granted by FAPESP; Project \\"Development of morphofunctional changes in ovary of Astyanax altiparanae Garutti & Britski, 2000 (Teleostei, Characidae)\\". She has experience in Reproduction of vertebrates and Morphology, with emphasis in Cellular Biology and Histology. She is currently a teacher in the medium / technical level courses at IFMT-Alta Floresta, as well as in the Bachelor\\\'s degree in Animal Science and in the Bachelor\\\'s degree in Business.',institutionString:null,institution:null},{id:"442807",title:"Dr.",name:"Busani",middleName:null,surname:"Moyo",slug:"busani-moyo",fullName:"Busani Moyo",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Gwanda State University",country:{name:"Zimbabwe"}}},{id:"439435",title:"Dr.",name:"Feda S.",middleName:null,surname:"Aljaser",slug:"feda-s.-aljaser",fullName:"Feda S. Aljaser",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"King Saud University",country:{name:"Saudi Arabia"}}},{id:"423023",title:"Dr.",name:"Yosra",middleName:null,surname:"Soltan",slug:"yosra-soltan",fullName:"Yosra Soltan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Alexandria University",country:{name:"Egypt"}}},{id:"349788",title:"Dr.",name:"Florencia Nery",middleName:null,surname:"Sompie",slug:"florencia-nery-sompie",fullName:"Florencia Nery Sompie",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Sam Ratulangi University",country:{name:"Indonesia"}}},{id:"428600",title:"MSc.",name:"Adriana",middleName:null,surname:"García-Alarcón",slug:"adriana-garcia-alarcon",fullName:"Adriana García-Alarcón",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Autonomous University of Mexico",country:{name:"Mexico"}}},{id:"428599",title:"MSc.",name:"Gabino",middleName:null,surname:"De La Rosa-Cruz",slug:"gabino-de-la-rosa-cruz",fullName:"Gabino De La Rosa-Cruz",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Autonomous University of Mexico",country:{name:"Mexico"}}},{id:"428601",title:"MSc.",name:"Juan Carlos",middleName:null,surname:"Campuzano-Caballero",slug:"juan-carlos-campuzano-caballero",fullName:"Juan Carlos Campuzano-Caballero",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Autonomous University of Mexico",country:{name:"Mexico"}}}]}},subseries:{item:{id:"88",type:"subseries",title:"Marketing",keywords:"Consumer Trends, Consumer Needs, Media, Pricing, Distribution, Branding, Innovation, Neuromarketing",scope:"