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
“…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].…”
The laccase enzyme was successfully immobilized over a magnetic amino-functionalized metal–organic framework Fe3O4-NH2@MIL-101(Cr). Different techniques were used for the characterization of the synthesized materials. The Fe3O4-NH2@MIL-101(Cr) laccase showed excellent resistance to high temperatures and low pH levels with a high immobilization capacity and large activity recovery, due to the combination of covalent binding and adsorption advantages. The long-term storage of immobilized laccase for 28 days indicated a retention of 88% of its initial activity, due to the high stability of the immobilized system. Furthermore, a residual activity of 49% was observed at 85 °C. The immobilized laccase was effectively used for the biodegradation of Reactive Black 5 (RB) and Alizarin Red S (AR) dyes in water. The factors affecting the RB and AR degradation using the immobilized laccase (dye concentration, temperature and pH) were investigated to determine the optimum treatment conditions. The optimum conditions for dye removal were a 5 mg/L dye concentration, temperature of 25 °C, and a pH of 4. At the optimum conditions, the biodegradation and sorption-synergistic mechanism of the Fe3O4-NH2@MIL-101(Cr) laccase system caused the total removal of AR and 81% of the RB. Interestingly, the reusability study of this immobilized enzyme up to five cycles indicated the ability to reuse it several times for water treatment.
“…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].…”
The laccase enzyme was successfully immobilized over a magnetic amino-functionalized metal–organic framework Fe3O4-NH2@MIL-101(Cr). Different techniques were used for the characterization of the synthesized materials. The Fe3O4-NH2@MIL-101(Cr) laccase showed excellent resistance to high temperatures and low pH levels with a high immobilization capacity and large activity recovery, due to the combination of covalent binding and adsorption advantages. The long-term storage of immobilized laccase for 28 days indicated a retention of 88% of its initial activity, due to the high stability of the immobilized system. Furthermore, a residual activity of 49% was observed at 85 °C. The immobilized laccase was effectively used for the biodegradation of Reactive Black 5 (RB) and Alizarin Red S (AR) dyes in water. The factors affecting the RB and AR degradation using the immobilized laccase (dye concentration, temperature and pH) were investigated to determine the optimum treatment conditions. The optimum conditions for dye removal were a 5 mg/L dye concentration, temperature of 25 °C, and a pH of 4. At the optimum conditions, the biodegradation and sorption-synergistic mechanism of the Fe3O4-NH2@MIL-101(Cr) laccase system caused the total removal of AR and 81% of the RB. Interestingly, the reusability study of this immobilized enzyme up to five cycles indicated the ability to reuse it several times for water treatment.
“…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.…”
Bottom ash is the solid residue left over from municipal waste combustion or incineration in a Municipal Waste Incineration Furnace. Its use as a sorption agent, particularly for dye sorption, is a new and important application. Linearized adsorption kinetics has drawbacks such as inaccurate representation of the parameters' 95 percent confidence interval output, unbalanced attention to potential outliers, and magnification of errors may result in inaccurate parameter values. In this study, we used nonlinear regression to investigate 16 adsorption kinetics models of tartrazine by bottom ash. The pseudo-second order was the best model based on the Bias and Accuracy factor near unity, but based on other error function analysis, this model performs equally well with the exponential and fractal-like pseudo-second order based other error functions such as Root-Mean-Square Error (RMSE), adjusted coefficient of determination (adjR2), Marquardt’s percent standard deviation (MPSD), Bayesian Information Criterion (BIC), Hannan-Quinn Information Criterion (HQC), and especially the corrected Akaike Information Criterion (AICc) function as the absolute difference is 5 absolute unit making discriminatory activity difficult. Furthermore, because the pseudo-second order and exponential models have only two parameters, they are less complicated according to Occam's razor. Because the pseudo-second order model is more popular and has more applications than the less well-known exponential model, we chose it as the best model for tartrazine sorption to bottom ash. Kinetic analysis using the PSO model gave a value of equilibrium adsorption capacity, qe of 21.88 mg g-1 (95% confidence interval (C.I.), 20.93 to 22.84) and k2 (g/(mg.sec)) of 0.00002 (95%, C.I., 0.00001 to 0.00002).
“…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
Rhizopus arrhizus is utilized in many biotechnological applications such as in the manufacturing of enzymes, including pectinases, amylases, proteases, cellulases, and phytases, and metabolites such as lactic acid, ethanol and fumaric acids. Its spent biomass is useful in the food and feed industry. Its usage as a biosorption agent especially dye sorption is an emerging and important application. In this study we explore 16 adsorption kinetics model of tartrazine by R. arrhizus using nonlinear regression. Based on the statistical indicators especially penalty-based error functions such as adjusted coefficient of determination (R2), Root-Mean-Square Error (RMSE), corrected Akaike Information Criterion (AICc), Bayesian Information Criterion (BIC), Hannan-Quinn Information Criterion (HQC) and Marquardt's percentage standard deviation (MPSD) shows that the pseudo-2nd order (PSO) was the best model followed by pseudo-nth order and Fractal-like Pseudo-2nd Order. The parameter of the PSO model gave a value of equilibrium adsorption capacity, qe of 9.367 mg g-1 (95% confidence interval (C.I.), 9.250 to 9.485) and k2 (g/(mg.min)) of 0.037 (95%, C.I., 0.032 to 0.041). The nonlinear regression exercise allows the uncertainty determination of the parameters to be carried out.
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