Metal ion concentrations of industrial effluent by different adsorbent dose [37].
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Centric Design",isOpenForSubmission:!1,hash:null,slug:"wireless-sensor-networks-application-centric-design",bookSignature:"Geoff V Merrett and Yen Kheng Tan",coverURL:"https://cdn.intechopen.com/books/images_new/135.jpg",editedByType:"Edited by",editors:[{id:"78857",title:"Dr.",name:"Tan Yen",surname:"Kheng",slug:"tan-yen-kheng",fullName:"Tan Yen Kheng"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"},chapters:[{id:"12464",title:"Wireless Sensor Networks - An Introduction",slug:"wireless-sensor-networks-an-introduction",signatures:"Qinghua Wang and Ilangko Balasingham",authors:[{id:"13799",title:"Dr.",name:"Qinghua",middleName:null,surname:"Wang",fullName:"Qinghua Wang",slug:"qinghua-wang"},{id:"23809",title:"Prof.",name:"Ilangko",middleName:null,surname:"Balasingham",fullName:"Ilangko Balasingham",slug:"ilangko-balasingham"}]},{id:"12465",title:"Wireless Sensor Networks for On-Field Agricultural Management Process",slug:"wireless-sensor-networks-for-on-field-agricultural-management-process",signatures:"Luca Bencini, Davide Di Palma, Giovanni Collodi, Antonio Manes and Gianfranco Manes",authors:[{id:"13653",title:"PhD.",name:"Luca",middleName:null,surname:"Bencini",fullName:"Luca Bencini",slug:"luca-bencini"},{id:"15596",title:"Dr.",name:"Giovanni",middleName:null,surname:"Collodi",fullName:"Giovanni Collodi",slug:"giovanni-collodi"},{id:"15597",title:"Dr.",name:"Davide",middleName:null,surname:"Di Palma",fullName:"Davide Di Palma",slug:"davide-di-palma"},{id:"15598",title:"Dr.",name:"Antonio",middleName:null,surname:"Manes",fullName:"Antonio Manes",slug:"antonio-manes"},{id:"15599",title:"Dr.",name:"Gianfranco",middleName:null,surname:"Manes",fullName:"Gianfranco Manes",slug:"gianfranco-manes"}]},{id:"12466",title:"Wildlife Assessment Using Wireless Sensor Networks",slug:"wildlife-assessment-using-wireless-sensor-networks",signatures:"Harry Gros-desormeaux, Philippe Hunel and Nicolas Vidot",authors:[{id:"15994",title:"Dr.",name:"Nicolas",middleName:null,surname:"Vidot",fullName:"Nicolas Vidot",slug:"nicolas-vidot"},{id:"15995",title:"Dr.",name:"Philippe",middleName:null,surname:"Hunel",fullName:"Philippe Hunel",slug:"philippe-hunel"},{id:"15996",title:"Dr.",name:"Harry",middleName:null,surname:"Gros-Desormeaux",fullName:"Harry Gros-Desormeaux",slug:"harry-gros-desormeaux"}]},{id:"12467",title:"Wireless Sensor Network for Disaster Monitoring",slug:"wireless-sensor-network-for-disaster-monitoring",signatures:"Maneesha Sudheer",authors:[{id:"13863",title:"Dr.",name:"Maneesha",middleName:null,surname:"Sudheer",fullName:"Maneesha Sudheer",slug:"maneesha-sudheer"}]},{id:"12468",title:"Urban Microclimate and Traffic Monitoring with Mobile Wireless Sensor Networks",slug:"urban-microclimate-and-traffic-monitoring-with-mobile-wireless-sensor-networks",signatures:"Romano Fantacci and Francesco Chiti",authors:[{id:"14661",title:"Dr.",name:"Francesco",middleName:null,surname:"Chiti",fullName:"Francesco Chiti",slug:"francesco-chiti"},{id:"14672",title:"Prof.",name:"Romano",middleName:null,surname:"Fantacci",fullName:"Romano Fantacci",slug:"romano-fantacci"}]},{id:"12469",title:"Improving Greenhouse's Automation and Data Acquisition with Mobile Robot Controlled System via Wireless Sensor Network",slug:"improving-greenhouse-s-automation-and-data-acquisition-with-mobile-robot-controlled-system-via-wirel",signatures:"István Matijevics and Janos Simon",authors:[{id:"14541",title:"PhD.",name:"Janos",middleName:null,surname:"Simon",fullName:"Janos Simon",slug:"janos-simon"},{id:"15548",title:"Dr.",name:"István",middleName:null,surname:"Matijevics",fullName:"István Matijevics",slug:"istvan-matijevics"}]},{id:"12470",title:"Model Based WSN System Implementations Using PN-WSNA for Aquarium Environment Control in a House",slug:"model-based-wsn-system-implementations-using-pn-wsna-for-aquarium-environment-control-in-a-house",signatures:"Ting-Shuo Chen and Kuo Chung-Hsien",authors:[{id:"5793",title:"Prof.",name:"Chung-Hsien",middleName:null,surname:"Kuo",fullName:"Chung-Hsien Kuo",slug:"chung-hsien-kuo"},{id:"16021",title:"Dr.",name:"Ting-Shuo",middleName:null,surname:"Chen",fullName:"Ting-Shuo Chen",slug:"ting-shuo-chen"}]},{id:"12471",title:"Wireless Sensor Network for Ambient Assisted Living",slug:"wireless-sensor-network-for-ambient-assisted-living",signatures:"Ramón Ruiz, Francisco J. Fernández-luque and Juan Zapata",authors:[{id:"13662",title:"Dr.",name:"Juan",middleName:null,surname:"Zapata",fullName:"Juan Zapata",slug:"juan-zapata"},{id:"15647",title:"Dr.",name:"Ramón",middleName:null,surname:"Ruiz",fullName:"Ramón Ruiz",slug:"ramon-ruiz"},{id:"15648",title:"Dr.",name:"Francisco J.",middleName:null,surname:"Fernández-Luque",fullName:"Francisco J. Fernández-Luque",slug:"francisco-j.-fernandez-luque"}]},{id:"12472",title:"Monitoring of Human Movements for Fall Detection and Activities Recognition in Elderly Care Using Wireless Sensor Network: a Survey",slug:"monitoring-of-human-movements-for-fall-detection-and-activities-recognition-in-elderly-care-using-wi",signatures:"Stefano Abbate, Marco Avvenuti, Paolo Corsini, Janet Light and Alessio Vecchio",authors:[{id:"14025",title:"MSc.",name:"Stefano",middleName:null,surname:"Abbate",fullName:"Stefano Abbate",slug:"stefano-abbate"},{id:"15973",title:"Prof.",name:"Marco",middleName:null,surname:"Avvenuti",fullName:"Marco Avvenuti",slug:"marco-avvenuti"},{id:"15974",title:"Prof.",name:"Paolo",middleName:null,surname:"Corsini",fullName:"Paolo Corsini",slug:"paolo-corsini"},{id:"15975",title:"PhD.",name:"Alessio",middleName:null,surname:"Vecchio",fullName:"Alessio Vecchio",slug:"alessio-vecchio"},{id:"15976",title:"Prof.",name:"Janet",middleName:null,surname:"Light",fullName:"Janet Light",slug:"janet-light"}]},{id:"12473",title:"Odor Recognition and Localization Using Sensor Networks",slug:"odor-recognition-and-localization-using-sensor-networks",signatures:"Rabie Ramadan",authors:[{id:"13612",title:"Dr.",name:"Rabie",middleName:null,surname:"Ramadan",fullName:"Rabie Ramadan",slug:"rabie-ramadan"}]},{id:"12474",title:"Modelling Underwater Wireless Sensor Networks",slug:"modelling-underwater-wireless-sensor-networks",signatures:"Jesus Antonio Llor Sirvent and Manuel Perez Malumbres",authors:[{id:"13934",title:"Dr.",name:"Jesus Antonio",middleName:null,surname:"Llor Sirvent",fullName:"Jesus Antonio Llor Sirvent",slug:"jesus-antonio-llor-sirvent"},{id:"15622",title:"Dr.",name:"Manuel",middleName:null,surname:"Perez Malumbres",fullName:"Manuel Perez Malumbres",slug:"manuel-perez-malumbres"}]},{id:"12475",title:"Prospects and Problems of Optical Diffuse Wireless Communication for Underwater Wireless Sensor Networks",slug:"prospects-and-problems-of-optical-diffuse-wireless-communication-for-underwater-wireless-sensor-netw",signatures:"Davide Anguita, Davide Brizzolara and Giancarlo Parodi",authors:[{id:"15658",title:"Dr.",name:"Davide",middleName:null,surname:"Brizzolara",fullName:"Davide Brizzolara",slug:"davide-brizzolara"}]},{id:"12476",title:"Estimation of Propagation Characteristics along Random Rough Surface for Sensor Networks",slug:"estimation-of-propagation-characteristics-along-random-rough-surface-for-sensor-networks-",signatures:"Kazunori Uchida and Junichi Honda",authors:[{id:"15667",title:"Dr.",name:"Kazunori",middleName:null,surname:"Uchida",fullName:"Kazunori Uchida",slug:"kazunori-uchida"}]},{id:"12477",title:"Design of Radio-Frequency Transceivers for Wireless Sensor Networks",slug:"design-of-radio-frequency-transceivers-for-wireless-sensor-networks",signatures:"Bo Zhao and Huazhong Yang",authors:[{id:"14787",title:"Dr.",name:"Bo",middleName:null,surname:"Zhao",fullName:"Bo Zhao",slug:"bo-zhao"},{id:"14788",title:"Prof.",name:"Huazhong",middleName:null,surname:"Yang",fullName:"Huazhong Yang",slug:"huazhong-yang"}]},{id:"12478",title:"MAC & Mobility In Wireless Sensor Networks",slug:"mac-mobility-in-wireless-sensor-networks",signatures:"Marwan Al-jemeli, Fawnizu Hussin and Vooi Yap",authors:[{id:"13690",title:"MSc.",name:"Marwan",middleName:"Ihsan Shukur",surname:"Al-Jemeli",fullName:"Marwan Al-Jemeli",slug:"marwan-al-jemeli"},{id:"23990",title:"Prof.",name:"Vooi Voon",middleName:null,surname:"Yap",fullName:"Vooi Voon Yap",slug:"vooi-voon-yap"},{id:"23991",title:"Prof.",name:"Fawnizu",middleName:null,surname:"Hussin",fullName:"Fawnizu Hussin",slug:"fawnizu-hussin"}]},{id:"12479",title:"Hybrid Optical and Wireless Sensor Networks",slug:"hybrid-optical-and-wireless-sensor-networks",signatures:"Xiaoyin Li, Wei Pan, Jiangtao Liu, Zhen Zhang and Lianshan Yan",authors:[{id:"15623",title:"Dr.",name:"Lianshan",middleName:null,surname:"Yan",fullName:"Lianshan Yan",slug:"lianshan-yan"},{id:"15624",title:"Mr.",name:"Xiaoyin",middleName:null,surname:"Li",fullName:"Xiaoyin Li",slug:"xiaoyin-li"},{id:"15625",title:"Prof.",name:"Wei",middleName:null,surname:"Pan",fullName:"Wei Pan",slug:"wei-pan"},{id:"15626",title:"Ms.",name:"Jiangtao",middleName:null,surname:"Liu",fullName:"Jiangtao Liu",slug:"jiangtao-liu"},{id:"15627",title:"Mr.",name:"Zhen",middleName:null,surname:"Zhang",fullName:"Zhen Zhang",slug:"zhen-zhang"}]},{id:"12480",title:"Range-free Area Localization Scheme for Wireless Sensor Networks",slug:"range-free-area-localization-scheme-for-wireless-sensor-networks",signatures:"Vijay R. Chandrasekhar, Winston K.G. Seah, Zhi Ang Eu and Arumugam P. Venkatesh",authors:[{id:"45110",title:"Prof.",name:"Winston",middleName:null,surname:"Seah",fullName:"Winston Seah",slug:"winston-seah"}]},{id:"12481",title:"Data Fusion Approach for Error Correction in Wireless Sensor Networks",slug:"data-fusion-approach-for-error-correction-in-wireless-sensor-networks",signatures:"Maen Takruri and Subhash Challa",authors:[{id:"14529",title:"Prof.",name:"Subhash",middleName:null,surname:"Challa",fullName:"Subhash Challa",slug:"subhash-challa"},{id:"47261",title:"Prof.",name:"Maen",middleName:null,surname:"Takruri",fullName:"Maen Takruri",slug:"maen-takruri"}]},{id:"12482",title:"Target Tracking in Wireless Sensor Networks",slug:"target-tracking-in-wireless-sensor-networks",signatures:"Jianxun Li and Yan Zhou",authors:[{id:"15575",title:"Prof.",name:"Jianxun",middleName:null,surname:"Li",fullName:"Jianxun Li",slug:"jianxun-li"},{id:"15676",title:"Prof.",name:"Yan",middleName:null,surname:"Zhou",fullName:"Yan Zhou",slug:"yan-zhou"}]},{id:"12484",title:"Monitoring Wireless Sensor Network Performance by Tracking Node Operational Deviation",slug:"monitoring-wireless-sensor-network-performance-by-tracking-node-operational-deviation",signatures:"Yaqoob J. Y. Al-Raisi and Nazar E. M. Adam",authors:[{id:"15583",title:"Dr.",name:"Nazar",middleName:null,surname:"Elfadil",fullName:"Nazar Elfadil",slug:"nazar-elfadil"},{id:"27409",title:"Mr.",name:"Yaqoob",middleName:null,surname:"AL-Raeisi",fullName:"Yaqoob AL-Raeisi",slug:"yaqoob-al-raeisi"}]},{id:"12485",title:"Building Context Aware Network of Wireless Sensors Using a Scalable Distributed Estimation Scheme for Real-time Data Manipulation",slug:"building-context-aware-network-of-wireless-sensors-using-a-scalable-distributed-estimation-scheme-fo",signatures:"Amir Basirat and Asad I. Khan",authors:[{id:"15812",title:"Dr.",name:"Amir",middleName:null,surname:"Basirat",fullName:"Amir Basirat",slug:"amir-basirat"}]},{id:"12486",title:"Multimedia Data Processing and Delivery in Wireless Sensor Networks",slug:"multimedia-data-processing-and-delivery-in-wireless-sensor-networks-",signatures:"Javier Molina, Javier M. Mora-merchan, Julio Barbancho and Carlos Leon",authors:[{id:"496",title:"Dr.",name:"Carlos",middleName:null,surname:"Leon",fullName:"Carlos Leon",slug:"carlos-leon"},{id:"14634",title:"Dr.",name:"Javier M.",middleName:null,surname:"Mora-Merchan",fullName:"Javier M. Mora-Merchan",slug:"javier-m.-mora-merchan"},{id:"15604",title:"Prof.",name:"Javier",middleName:null,surname:"Molina",fullName:"Javier Molina",slug:"javier-molina"},{id:"15605",title:"PhD.",name:"Julio",middleName:null,surname:"Barbancho",fullName:"Julio Barbancho",slug:"julio-barbancho"}]},{id:"12487",title:"Imaging in UWB Sensor Networks",slug:"imaging-in-uwb-sensor-networks",signatures:"Ole Hirsch, Rudolf Zetik and Reiner Thomä",authors:[{id:"14629",title:"Dr.",name:"Ole",middleName:null,surname:"Hirsch",fullName:"Ole Hirsch",slug:"ole-hirsch"},{id:"14630",title:"Dr.",name:"Rudolf",middleName:null,surname:"Zetik",fullName:"Rudolf Zetik",slug:"rudolf-zetik"},{id:"14632",title:"Prof.",name:"Reiner",middleName:null,surname:"Thomä",fullName:"Reiner Thomä",slug:"reiner-thoma"}]}]}]},onlineFirst:{chapter:{type:"chapter",id:"68804",title:"Polymer Hydrogels for Wastewater Treatment",doi:"10.5772/intechopen.89000",slug:"polymer-hydrogels-for-wastewater-treatment",body:'\nIn recent times, the fast growth of industries has caused critical troubles within the natural environment. The effluents of many industries that include paint industries, metal plating, food industries, pharmaceutical industries, and battery production, which comprise heavy metallic ions, dyes, and organic materials, are discharged without delay into water bodies and cause water pollution. These pollutants above the permissible limit cause serious effects on human beings and other terrestrial and aquatic animals. These substances penetrate and accumulate inside the bodies through food chains [1]. For the remediation and purification of waste-contaminated water, a number of different strategies were used, which include chemical precipitation [2], ion exchange [3], biological methods [4], membrane separation [5], reverse osmosis [6], coagulation and flocculation [7], catalysis [8, 9, 10, 11], photodegradation [12], and adsorption [13, 14]. Among these strategies, adsorption is considered a cheap, quick, and environmental friendly process for wastewater treatment.
\nGenerally, the adsorption process is broadly categorized in chemisorption and physisorption. Chemisorption also called chemical adsorption involves the formation of a chemical bond between adsorbate and adsorbent and therefore behaves as an irreversible system. Physisorption or physical adsorption takes place through physical interaction like hydrogen bonding, van der Waals, and hydrophobic interactions between adsorbate and adsorbent and acts in a reversible manner. Physical conditions such as pH, ionic energy, adsorbate and adsorbent dosage, contact time, and temperature are the most vital factors that affect the adsorption capability of hydrogels. The optimization of these factors is very crucial and should be considered first to layout the adsorption process at large scale [15, 16].
\nHydrogels are three-dimensional, cross-linked, and flexible polymer networks having hydrophilic groups like hydroxyl, carboxyl, and amide [17] that swell in water and biological fluids. This swelling property is reversible and depends strongly upon environmental conditions, and therefore, these materials are also called intelligent or smart materials. Polymer hydrogels can be synthesized by different methods including freeze-drying [18], pyrogenation [19], microemulsion formation [20], and segment separation [21], having different geometries in the form of bead [22], film [23, 24], ring [25], and hole fiber depending on its application. Hydrogels respond to environmental stimuli, which include light [26], temperature [9, 11, 27], electric powered field [28], magnetic field [29], pH [30], ionic strength [31], chemical species [32], etc.
\nA number of efforts had been made within the field of hydrogels for wastewater treatment. In most studies, the researchers focus on the removal capability of hydrogels toward organic toxic dyes and inorganic toxic heavy metal ions, and nowadays, special interest is given to emergent pollutants. The distinguished emergent pollutants are pharmaceuticals, drugs, insecticides, pesticides, and other toxic chemical substances [33]. These pollutants even at very low concentrations in wastewater are highly dangerous to human bodies and aquatic animals [34].
\nPolymer hydrogels are used for purification purpose, but due to weak mechanical strength, the use of these materials is restricted to some specific conditions. Therefore, to increase the application window for hydrogels, GO or some other inorganic species were introduced to fabricate composite hydrogels having enhanced mechanical strength. Besides the mechanical strength, the sheets of GO show excellent adsorption capacity for the elimination of toxic organic dyes from an aqueous environment. Currently, Guo et al. [35] carried out the facile synthesis of GO/polyethylenimine (PEI) by incorporation of GO in polyethylenimine (PEI) network producing a green adsorbent GO/PEI having enhanced removal capacity toward organic dyes. The hydrogen bonding and electrostatic interactions among amine groups of PEI and GO sheets accomplished the GO/PEI hydrogels. The removal performance was studied for both methylene blue (MB) and rhodamine B (RhB). The as-prepared hydrogels show complete removal of these dyes within 4 h followed by the pseudo-second-order kinetics. The superior dye removal ability of hydrogels is strongly attributed to the GO sheets, while the PEI is responsible for the facilitation of the gelation process of GO sheets. The beauty of these hydrogels is that it can be recovered and reused again without any trouble from an aqueous environment, suggesting the potential importance of these materials for wastewater treatment.
\nFigure 1 shows the various steps occurring in the formulation of GO/PEI hydrogels. The GO sheets having large hydrophilic functional groups, e.g., carboxyl, hydroxyl, and epoxides (Figure 1A), on the surface can generate hydrogen bonds with amine groups of PEI under appropriate conditions. Consequently, PEI (Figure 1B) facilitates the gelation of GO sheets in an aqueous solution and also reveals the correct adsorption and adhesion properties. It was found that the dye adsorption capacity of the GO/PEI hydrogels increased with the amount of PEI in polymer network. It is due to the electrostatic attractions among the amine functionalities in polymer network and the dye molecules. From these results, we can conclude that the adsorption capability of the GO/PEI hydrogels is largely attributed to PEI, and GO increases the mechanical strength. Therefore, in maximum composite substances, PEI is extensively applied as a robust chelating agent and organic intermediate. Furthermore, the GO/PEI composite hydrogel showed very stable self-assembly behaviors by using hydrogen bonding and electronic interactions, which confirmed an extraordinary possibility to launch PEI to motive secondary waste as dye adsorbents for wastewater treatment.
\nSchematic representation of the formulation of GO/PEI hydrogel. (A) GO, (B) PEI, (C) GO/PEI hydrogels, and (D) and (E) are the gelation pictures [35].
In real life the materials having high adsorption capacity, rapid removal kinetics, reusability, and cost-effective are preferred to utilize in wastewater treatment. To achieve these properties, a porous Jute/Polyacrylic acid (Jute/PAA) hydrogel was prepared. The high permeability and 80 wt% water in polymer network of Jute/PAA hydrogel made the inner sites fully available for the adsorption of metal ions. The Jute/PAA gel adsorbs heavy metal ions particularly Cd2+ and Pb2+ from wastewater with very high adsorption capacities of 401.7 and 542.9 mg/g for Cd2+ and Pb2+, respectively. Furthermore, the adsorption equilibrium was reached within 10 min for 40 mg/L of initial ion concentration using 1 g/L of hydrogel. Meanwhile, the elimination efficiencies reached 81% for Pb2+ and 79.3% for Cd2+. The materials were checked for other metal ions such as Cu, Zn, Mn, Cr, and Fe in melting wastewater under the same environmental conditions using different amount of hydrogel, and the results are tabulated in Table 1. The concentrations of Pb, Cd, and Cr reduced beneath 0.001 mg/L with the use of 4 g/L adsorbent. In the fixed-bed column experiments, the treatment quantity of melting wastewater reached 2900 BV (32.8 L) only generating 50 BV (565 ml) eluent. This study strongly helps in the development of a realistic adsorption system based on hydrogel adsorbents for the wastewater treatment. Therefore, the removal performance of hydrogels toward heavy metal ions was investigated in real industrial water collected from smelting plant.
\nSorbent dosage (g/L) | \nMetal ion concentration (mg/L) | \n||||||
---|---|---|---|---|---|---|---|
Pb | \nCd | \nCu | \nZn | \nMn | \nCr | \nFe | \n|
0 | \n3.825 | \n6.075 | \n9.325 | \n188.6 | \n17.05 | \n0.25 | \n9.75 | \n
1 | \n0.725 | \n1.255 | \n1.550 | \n132.5 | \n13.25 | \n<0.001 | \n<0.01 | \n
2 | \n<0.001 | \n0.225 | \n0.350 | \n94.65 | \n11.15 | \n<0.001 | \n<0.01 | \n
3 | \n<0.001 | \n0.075 | \n0.085 | \n40.55 | \n6.55 | \n<0.001 | \n<0.01 | \n
4 | \n<0.001 | \n<0.001 | \n0.010 | \n17.95 | \n3.05 | \n<0.001 | \n<0.01 | \n
Metal ion concentrations of industrial effluent by different adsorbent dose [37].
The preferential removal to low degree of Fe and Cr is because of the excessive average valence electron power and the configuration of 3d64s2 subshell, which provides empty orbital and strongly coordination ability [36]. When increasing the adsorbent dosage to 2 g/L, Pb was preferentially removed in divalent metallic ions with the residual attention below 0.001 mg/L, probably because of the better electronegativity of Pb. While in addition to increasing the Jute/PAA gel dosage to 4 g/L, the Cd ions could be completely adsorbed, and the removal efficiencies of Cu, Zn, and Mn ions attain up to 99.8, 90.5, and 61.6%, respectively. From the obtained results, it is confirmed that the Jute/PAA hydrogel has a strong capability in the removal of heavy metal ions from commercial effluents.
\nTable 1 shows the adsorption statistics of heavy metal ions through different amount of Jute/PAA hydrogel dosage after remedy for 2 h.
\nA series of functional copolymer hydrogels composed of carboxymethyl cellulose (CMC) and 2-acrylamido-2-methyl propane sulfonic acid (AMPS) have been synthesized using γ-radiations and prompted copolymerization and cross-linking, and their swelling ability was investigated to optimum conditions. The capacity of these hydrogels was tested in the recovery of toxic heavy metal ions, i.e., Mn+2, Co+2, Cu+2, and Fe+3, from their aqueous solutions. The hydrogels showed a pronounced effect on the removal of metal ions. The pronounced removal ability is due to the existence of AMPS in the inner composition of hydrogels, which has a strong chelating potential and forms a stable interaction with metal ions. Therefore, by increasing the AMPS concentration in polymer chains, the chelating potential increases, and the hydrogels will show enhanced removal performance. The prepared hydrogels of CMC/AMPS were stable and utilized in a multiple cycles with no reduction compared to their initial performance.
\nThe adsorption process will be more active and favorable if the interaction of metal ions with the adsorbent is strong. Therefore, the effect of contact time on the adsorption ability of the CMC/AMPS copolymer hydrogel toward metal ions, i.e., Co, Mn, Cu, and Fe, changed. Initially the adsorbed amount of metal ions was efficient and then reduced. Few researchers studied and found that the decrease of chelating ability resulted in polymer chain shrinkage that takes area due to adsorption happening at the hydrogel network, due to which the diffusion of cations become difficult inside the bulk of the hydrogel. The fast adsorption process in the initial stage occurs on the surface and after the adsorption takes place inside the hydrogel network and slows down due to the penetration of metal ions through the pores in the hydrogel matrix. The sorption process depends on the intraparticle diffusion, chelation, and ion interactions. Table 2 shows the adsorption rate constant obtained by removing different metal ions from wastewater.
\nMetal | \nK (×10−3 s−1) | \n(Ce/C0) | \nR2 | \nKd (s−1) | \nKs (s−1) | \n
---|---|---|---|---|---|
Fe | \n5.24 | \n0.842 | \n0.994 | \n1.176 | \n0.013 | \n
Cu | \n6.14 | \n0.884 | \n0.986 | \n1.064 | \n0.013 | \n
Mn | \n4.94 | \n0.847 | \n0.994 | \n0.400 | \n0.008 | \n
Co | \n4.99 | \n0.910 | \n0.989 | \n0.719 | \n0.011 | \n
Adsorption rate constant of different metals on CAP6 hydrogel [38].
In other studies, the environment friendly carboxymethyl cellulose (CMC) hydrogel beads were successfully prepared using epichlorohydrin (ECH) as a cross-linking agent through ether linkage formed between ECH and CMC in the suspension of fluid wax. The characteristic bands in FTIR spectra confirmed the ether linkage. The prepared hydrogel beads were 4 mm in diameter with fully transparent and apparently spherical geometry. It was further confirmed by X-ray diffraction (XRD) patterns that the adsorption of metal ion onto the oxygen atom of carboxyl group changed the crystallinity of hydrogels. The adsorption capacity depends on the initial concentrations of metal ions and the pH value of metal ion solution and was found increased with increase in pH and initial concentration of metal ion solution. After the application of Freundlich and Langmuir isotherm models on the data obtained from the batch adsorption experiments, it was found that the sorption mechanism of the hydrogel beads for metal ions follows the Langmuir model. The maximum adsorption values of hydrogel beads for metal ions is 6.49, 4.06, and 5.15 mmol/g for Cu2+, Ni2+, and Pb2+, respectively.
\nSuperabsorbent hydrogel beads based on CMC were prepared by suspension cross-linking method and were characterized by FTIR, XRD, and SEM. The crystallinity of these hydrogels was less than the pure CMC and was confirmed by XRD analysis. It was assumed that the adsorption of metal ions on hydrogel beads formed coordination bonds with the oxygen atoms in the carboxyl groups of hydrogel beads and showed good adsorption ability for heavy metal ions. The maximum amount of adsorbed metal ions from the data of Langmuir model is 6.49, 4.06, and 5.15 mmol/g for Cu2+, Ni2+, and Pb2+, respectively, at pH 7. The study of adsorption indicates that the hydrogel beads have a potential application and can be applied on large scale for wastewater treatment [39].
\nNowadays hydrogels based on bio-originated polymers like chitosan, maltodextrin, and gum arabic with and without magnetite nanoparticles had been employed as adsorbents for entrapping of heavy metal ions from aqueous solutions. The adsorption and removal of heavy metal ions by hydrogels are due to the diffusion of water molecules inside the hydrogel network and confirmed by adsorption kinetics using the Fickian equation. The shape of macromolecules rests and can be laid low with the presence of magnetite nanoparticles, and this effect is associated with the reticulation factors inside the hydrogel network. The CS-, M-malto-, and M-GA-based hydrogels were applied for the removal of Cd2+ ions from aqueous solutions under the controlled conditions of pH 4.5–5.5, initial concentration of 20 mg L−1, and dried hydrogel mass of 100 mg [40]. By applying three adsorption isotherms, i.e., Langmuir, Freundlich, and Redlich-Peterson, it was found that a change in physiochemical phenomena related to Cd2+ adsorption occurred and the data fitted to the Langmuir or Redlich-Peterson models more than the Freundlich model. The beauty and advantage of these materials are recovery by a simple magnetic field compared to other hydrogels that require mostly ultracentrifugation or using solvents like HCl, HNO3, etc.
\nThe removal of heavy metals from water and industrial effluents has been the goal of a large number of studies. Paulino et al. concluded from their results that hydrogels based on polysaccharides such as CS, M-malto, and M-GA are important absorbers for the treatment of wastewater and removal of heavy metal ions from industrial effluents. It was also elaborated that the diffusion of Cd2+ through polymer hydrogel network changed when magnetic nanoparticles were introduced into polymer network. Based on Fickian parameters, the hydrogels have diffusion properties with a tendency toward macromolecular relaxation, which is very important for adsorption studies of both organic and inorganic pollutants. Different parameters such as contact time, pH, initial hydrogel dosage, and initial concentration of the Cd2+ solution were studied to examine the potential application of hydrogels with and without magnetic properties for the removal of Cd2+ from water and effluents. The results confirmed that hydrogels without magnetic nanoparticles based only on CS, M-malto, and M-GA can be applied more efficiently in wastewater treatment for the removal of Cd2+ compared to hydrogels with magnetic particles. However, the regeneration of magnetic hydrogels can be done more easily with the application of magnetic field which is environmental friendly and green approach [40].
\nAn experimental work becomes performed to study the overall performance of the prepared polyvinyl pyrrolidone/acrylic acid (PVP/AAc) copolymer hydrogel to chelate heavy metals from the bulk material [41]. The results clearly indicate that PVP/AAc copolymer hydrogel has excessive binding capacities and proper adsorption kinetics for the metal ions. The sorption of these metal ions follows the Langmuir adsorption isotherm. The feasibility for the uses of PVP/AAc hydrogel for the treatment of polluted samples, accrued from distinct water assets in Helwan location (Egypt), was investigated. The results showed that by using these hydrogels, we can obtain pure usable water from wastewater.
\nIn recent years, there has been considerable interest in the chelation of metal ions by insoluble cross-linked polymeric substrate. Such substrates have advantages over soluble materials of easy separation from the reaction medium, leading to operational flexibility of their facial regenerability and of higher stability. The removal performance of hydrogels can be disturbed in the presence of other metal salts like NaCl, MgCl2, CaCl2, etc. in polluted water and affect the chelating ability of the species. This effect was studied by Shawky et al. in the adsorption of Fe ions by PVP/AAc hydrogel in the presence of different metal salts, and the effect is shown in Figure 2. No effect on the adsorption of Fe ions was observed in case of NaCl even at high concentration of NaCl. Furthermore, Fe adsorption is not suffering by low concentrations of CaCl2 and MgCl2; however, at higher concentrations, the adsorption decreases, and this could be attributed to the affinity of the reactive polymers toward alkaline earth metals as compared to transition metal ions.
\nEffect of different concentrations of dissolved salts on Fe uptake [41].
The results obtained clearly demonstrate and confirmed the applicability of PVP/AAc hydrogel for wastewater treatment. Water resources in the Helwan area showed that trace metal contents are very high when the analysis of nine water samples was carried out. The hydrogel treatment resulted in a satisfactory removal of polluted heavy metals especially iron, manganese, and aluminum [41].
\nThe smart polymer hydrogels prepared from both synthetic and natural polymers can be used successfully with full confidence for wastewater treatment. However, the properties of these hydrogels will be kept according to the required environmental conditions by changing the composition of polymer networks. The performance of few polymer hydrogels was explained and executed in this chapter, which clearly indicates that due to smart behavior, easy synthesis, recycling, low cost, environment friendly, biocompatibility, etc. make these hydrogels as efficient candidate compared to other materials for wastewater treatment. By reading this chapter, the researchers could find new approaches which help them in designing new hydrogel systems for different applications.
\nThe authors are very grateful to acknowledge the Higher Education Commission of Pakistan for financial support under Grant No: 7309/KPK/NRPU/R and D/HEC/2017.
\n"I work with IntechOpen for a number of reasons: their professionalism, their mission in support of Open Access publishing, and the quality of their peer-reviewed publications, but also because they believe in equality. Throughout the world, we are seeing progress in attracting, retaining, and promoting women in STEMM. IntechOpen are certainly supporting this work globally by empowering all scientists and ensuring that women are encouraged and enabled to publish and take leading roles within the scientific community." Dr. Catrin Rutland, University of Nottingham, UK
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\n\nInterested? Contact Ana Pantar (book.idea@intechopen.com) for more information.
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