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2019
DOI: 10.1002/ep.13326
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Biogenic fabrication of iron nanoadsorbents from mixed waste biomass for aqueous phase removal of alizarin red S and tartrazine: Kinetics, isotherm, and thermodynamic investigation

Abstract: Present work deals with the facile and ecologically viable production of iron nanoadsorbents by utilizing different waste plant biomass, orange peel, flower waste, and environmentally harmful Alligator weed. The as‐prepared nanoadsorbents were applied for the aqueous phase minimization of toxic dyes, alizarin red S and tartrazine. Different techniques, namely, X‐ray diffraction, Fourier transform infra‐red spectroscopy, scanning electron microscopy, dynamic light scattering and magnetic properties measurement … Show more

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Cited by 22 publications
(6 citation statements)
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“…Textile effluents directly discharged into natural water sources cause health problems [1]. Reactive Black 5 (RB) and Alizarin Red S (AR) dyes are two of the most harmful dyes used in textile manufacturing [2,3], utilized to give color to specific products. Various dyes contain in their structure phenolic rings and several functional groups, like NO 2 , NO, OH, COOH, NH 2 , NHR and NR 2 , which are responsible for their toxicity [4,5].…”
Section: Introductionmentioning
confidence: 99%
“…Textile effluents directly discharged into natural water sources cause health problems [1]. Reactive Black 5 (RB) and Alizarin Red S (AR) dyes are two of the most harmful dyes used in textile manufacturing [2,3], utilized to give color to specific products. Various dyes contain in their structure phenolic rings and several functional groups, like NO 2 , NO, OH, COOH, NH 2 , NHR and NR 2 , which are responsible for their toxicity [4,5].…”
Section: Introductionmentioning
confidence: 99%
“…The result of the nonlinear regression work was within the range of the original study at 9.28 mg g -1 and 0.026 As far as tartrazine biosorption is concerned (Table 4), the PSO model is also the best model for several adsorbents such as Inula viscosa waste [65], activated carbon derived from Cassava sievate biomass [66], iron nanoadsorbents utilizing different waste plant biomass [67], lanthanum enriched aminosilane-grafted mesoporous carbon material [68], magnetic Ni-Ag bimetallic nanoparticles supported on reduced graphene oxide (Ni-Ag NPs/rGO) [69], activated carbon produced from pecan nut shells [70], masau stone (MS) [71], copper coordinated dithiooxamide metal-organic framework (Cu-DTO MOF) [72], Fe(II) based adsorbent system [73], iron modified zeolitic tuff [74], activated carbon from Alligator weed (Alternenthera philoxeroids) [75], polyaniline nanolayer composite [76], while the PFO was the best model for adsorption of tartrazine using natural quartz, modified with a cationic surfactant and homoionized with sodium [77] ZnAl-LDH/PVA nanocomposite [78]. The ability to fit kinetic data was widely accepted as the best test of the validity of the PFO and PSO equations, despite the fact that such a test has little to do with whether or not the equations have a solid physicochemical foundation.…”
Section: Figmentioning
confidence: 52%
“…As far as tartrazine biosorption is concerned (Table 4), the PSO model is also the best model for several adsorbents such as Inula viscosa waste [75], activated carbon derived from Cassava sievate biomass [76], iron nanoadsorbents utilizing different waste plant biomass [77], lanthanum enriched aminosilanegrafted mesoporous carbon material [78], magnetic Ni-Ag bimetallic nanoparticles supported on reduced graphene oxide (Ni-Ag NPs/rGO) [79], activated carbon produced from pecan nut shells [80], masau stone (MS) [81], copper coordinated dithiooxamide metal-organic framework (Cu-DTO MOF) [82], Fe(II) based adsorbent system [83], iron modified zeolitic tuff [84], activated carbon from Alligator weed (Alternenthera philoxeroids) [85], polyaniline nanolayer composite [86], while the PFO was the best model for adsorption of tartrazine using natural quartz, modified with a cationic surfactant and homoionized with sodium [87] ZnAl-LDH/PVA nanocomposite [88]. It was often accepted that the ability to fit the kinetic data was the best test of the PFO and PSO equations' validity, despite the fact that such a test has little to do with whether or not the equations have a solid physicochemical foundation.…”
Section: Determination Of Kinetic Model For Batch Adsorption Studiesmentioning
confidence: 99%