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Papers by BISWAJIT SINGHA
Journal of Environmental Protection, 2011
The ability of eight natural adsorbents were investigated for adsorptive removal of Cr(VI) from a... more The ability of eight natural adsorbents were investigated for adsorptive removal of Cr(VI) from aqueous solutions. Various physico-chemical parameters such as pH, initial metal ion concentration, adsorbent dose level and equilibrium contact time were optimized in batch adsorption technique. A detailed Fourier Transform Infrared spectra (FTIR) study of adsorbents and Cr(VI) loaded adsorbents at the optimized condition was carried out to identify the different functional groups that were responsible for the adsorption. The important functional groups like hydroxyl, alkene, aromatic nitro, carboxilate anion, silicon oxide, sulphonic acid etc. were present in the natural adsorbent and were responsible for the chemical adsorption of Cr(VI) from aqueous solutions. The sorption energy calculated from Dubinin-Radushkevich isotherm indicated that the adsorption process were chemical in nature.
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Rice waste-low cost agricultural waste has been utilized as the adsorbent for the removal of hexa... more Rice waste-low cost agricultural waste has been utilized as the adsorbent for the removal of hexavalent chromium from aqueous solution. Adsorption capacity of rice wastes and interaction of the different functional groups were studied. Batch adsorption technique was employed to optimize the process parameter. A detailed FTIR characterization of the fresh adsorbents and Cr(VI) loaded adsorbents were carried out. The results show that the different functional groups such as surface hydroxyl, alkene, aromatic nitro, carboxilate anion and silicon oxide etc were responsible for the adsorption process.
Environmental Science and Pollution Research, 2012
Purpose The purpose of the research is to investigate the applicability of the low-cost natural b... more Purpose The purpose of the research is to investigate the applicability of the low-cost natural biosorbents for the removal of Pb(II) ions from aqueous solution and effluent from battery industry. Methods Six different biosorbents namely rice straw, rice bran, rice husk, coconut shell, neem leaves, and hyacinth roots have been used for the removal of Pb(II) ions from aqueous solution in batch process. All the biosorbents were collected from local area near Kolkata, West Bengal, India. The removal efficiency was determined in batch experiments for each biosorbent. Results The biosorbents were characterized by SEM, FTIR, surface area, and point of zero charge. The sorption kinetic data was best described by pseudo-second-order model for all the biosorbents except rice husk which followed intraparticle diffusion model. Pb(II) ions adsorption process for rice straw, rice bran, and hyacinth roots were governed predominately by film diffusion, but in the case of rice husk, it was intraparticle diffusion. Film diffusion and intraparticle diffusion were equally responsible for the biosorption process onto coconut shell and neem leaves. The values of mass transfer coefficient indicated that the velocity of the adsorbate transport from the bulk to the solid phase was quite fast for all cases. Maximum monolayer sorption capacities onto the six natural sorbents studied were estimated from the Langmuir sorption model and compared with other natural sorbents used by other researchers. The Elovich model, the calculated values of effective diffusivity, and the sorption energy calculated by using the Dubinin-Radushkevich isotherm were indicated that the sorption process was chemical in nature. The thermodynamic studies indicated that the adsorption processes were endothermic. FTIR studies were carried out to understand the type of functional groups responsible for Pb(II) ions binding process. Regeneration of biosorbents were carried out by desorption studies using HNO 3. Battery industry effluents were used for the application study to investigate applicability of the biosorbents. Conclusion The biosorbents can be utilized as low-cost sorbents for the removal of Pb(II) ions from wastewater.
Colloids and Surfaces B: Biointerfaces, 2013
The potentiality of low cost natural/agricultural waste biomasses for the removal of Cu(II) ion f... more The potentiality of low cost natural/agricultural waste biomasses for the removal of Cu(II) ion from aqueous solution has been investigated in batch experiments. The effect of various physico-chemical parameters such as initial pH, initial Cu(II) concentration, adsorbent dosage, contact time and temperature has been studied. The optimum pH for adsorption was found to be 6 for all adsorbents used. Kinetics data were best described by the pseudo-2nd-order model. The experimental data were fitted well with Freundlich and Halsey isotherm models. The diffusion coefficient and sorption energy indicated that the adsorption process was chemical in nature. Thermodynamic parameters such as G • , H • and S • were calculated, and it was observed that the adsorption process was spontaneous and endothermic. The mean sorption energy was calculated using Dubinin-Radushkevich isotherm model and it confirmed that the sorption process was chemical in nature. Different active functional groups were identified by FTIR studies which were responsible for Cu(II) ion adsorption process. Application study using electroplating industrial waste water and regeneration experiment of the adsorbent were also investigated. Design procedure for the batch process was also reported.
Colloids and Surfaces B: Biointerfaces, 2011
Cr(VI) is a major water pollutant from industrial effluent whose concentration is to be reduced w... more Cr(VI) is a major water pollutant from industrial effluent whose concentration is to be reduced within the permissible limit. Present study reports a systematic evaluation of six different natural adsorbents for the removal of Cr(VI) from aqueous solutions in batch process. The adsorption kinetic data were best described by pseudo-second order model. The values of mass transfer coefficient for Cr(VI) adsorption indicated that the velocity of the adsorbate transport from the bulk to the solid phase was quite fast. The effective diffusivity of Cr(VI) removal for all the adsorbents were of the order of 10 −10 m 2 /s which suggested chemisorption of the process. The adsorption process was jointly controlled by film diffusion and intraparticle diffusion. Maximum monolayer adsorption capacities onto the natural adsorbents used were comparable to the other natural adsorbents used by other researchers. The thermodynamic studies and sorption energy calculation using Dubinin-Radushkevich isotherm model indicated that the adsorption processes were endothermic and chemical in nature. FT-IR studies were carried out to understand the type of functional groups responsible for Cr(VI) binding process. Desorption study was carried out with different concentration of NaOH solutions. Application study was carried out using electroplating industrial wastewater.
Fuller's earth is a fine-grained, naturally occurring substance that has a substantial abilit... more Fuller's earth is a fine-grained, naturally occurring substance that has a substantial ability to adsorb impurities. In the present study Fuller's earth has been characterized and used for the removal of Pb(II) from aqueous solution. The effect of various physicochemical parameters such as pH, adsorbent dosage and shaking time on adsorption were studied. The result of the equilibrium studies showed that the solution pH was the key factor affecting the adsorption. The optimum pH for adsorption was 5. Kinetics data for the adsorption of Pb(II) was best described by pseudo-second order model. The effective diffusion co-efficient for Pb(II) adsorption was of the order of 10-8 m2/s. The adsorption data for metal adsorption can be well described by Langmuir adsorption isotherm. The maximum uptake of metal was 103.3 mg/g of adsorbent. Mass transfer analysis was also carried out for the adsorption process. The values of mass transfer coefficients obtained from the study indicate tha...
Chemical Engineering Journal, 2011
In this present work, artificial neural networks (ANN) are applied for the prediction of percenta... more In this present work, artificial neural networks (ANN) are applied for the prediction of percentage adsorption efficiency for the removal of Cu(II) ions from industrial leachate by pumice. The effect of operational parameters such as initial pH, adsorbent dosage, temperature, and contact time is studied to optimize the conditions for maximum removal of Cu(II) ions. The model is first developed using a three layer feed forward backpropagation network with 4, 8 and 4 neurons in first, second and third layers, respectively. Furthermore, radial basis function (RBF) network is also proposed and its performance is compared to traditional network type. A comparison between the ANN models presents high correlation coefficient (R 2 = 0.999) and shows that the RBF network model is able to predict the removal of Cu(II) from industrial leachate more accurately.
Journal of Environmental Protection, 2011
The ability of eight natural adsorbents were investigated for adsorptive removal of Cr(VI) from a... more The ability of eight natural adsorbents were investigated for adsorptive removal of Cr(VI) from aqueous solutions. Various physico-chemical parameters such as pH, initial metal ion concentration, adsorbent dose level and equilibrium contact time were optimized in batch adsorption technique. A detailed Fourier Transform Infrared spectra (FTIR) study of adsorbents and Cr(VI) loaded adsorbents at the optimized condition was carried out to identify the different functional groups that were responsible for the adsorption. The important functional groups like hydroxyl, alkene, aromatic nitro, carboxilate anion, silicon oxide, sulphonic acid etc. were present in the natural adsorbent and were responsible for the chemical adsorption of Cr(VI) from aqueous solutions. The sorption energy calculated from Dubinin-Radushkevich isotherm indicated that the adsorption process were chemical in nature.
ipcbee.com
Rice waste-low cost agricultural waste has been utilized as the adsorbent for the removal of hexa... more Rice waste-low cost agricultural waste has been utilized as the adsorbent for the removal of hexavalent chromium from aqueous solution. Adsorption capacity of rice wastes and interaction of the different functional groups were studied. Batch adsorption technique was employed to optimize the process parameter. A detailed FTIR characterization of the fresh adsorbents and Cr(VI) loaded adsorbents were carried out. The results show that the different functional groups such as surface hydroxyl, alkene, aromatic nitro, carboxilate anion and silicon oxide etc were responsible for the adsorption process.
Environmental Science and Pollution Research, 2012
Purpose The purpose of the research is to investigate the applicability of the low-cost natural b... more Purpose The purpose of the research is to investigate the applicability of the low-cost natural biosorbents for the removal of Pb(II) ions from aqueous solution and effluent from battery industry. Methods Six different biosorbents namely rice straw, rice bran, rice husk, coconut shell, neem leaves, and hyacinth roots have been used for the removal of Pb(II) ions from aqueous solution in batch process. All the biosorbents were collected from local area near Kolkata, West Bengal, India. The removal efficiency was determined in batch experiments for each biosorbent. Results The biosorbents were characterized by SEM, FTIR, surface area, and point of zero charge. The sorption kinetic data was best described by pseudo-second-order model for all the biosorbents except rice husk which followed intraparticle diffusion model. Pb(II) ions adsorption process for rice straw, rice bran, and hyacinth roots were governed predominately by film diffusion, but in the case of rice husk, it was intraparticle diffusion. Film diffusion and intraparticle diffusion were equally responsible for the biosorption process onto coconut shell and neem leaves. The values of mass transfer coefficient indicated that the velocity of the adsorbate transport from the bulk to the solid phase was quite fast for all cases. Maximum monolayer sorption capacities onto the six natural sorbents studied were estimated from the Langmuir sorption model and compared with other natural sorbents used by other researchers. The Elovich model, the calculated values of effective diffusivity, and the sorption energy calculated by using the Dubinin-Radushkevich isotherm were indicated that the sorption process was chemical in nature. The thermodynamic studies indicated that the adsorption processes were endothermic. FTIR studies were carried out to understand the type of functional groups responsible for Pb(II) ions binding process. Regeneration of biosorbents were carried out by desorption studies using HNO 3. Battery industry effluents were used for the application study to investigate applicability of the biosorbents. Conclusion The biosorbents can be utilized as low-cost sorbents for the removal of Pb(II) ions from wastewater.
Colloids and Surfaces B: Biointerfaces, 2013
The potentiality of low cost natural/agricultural waste biomasses for the removal of Cu(II) ion f... more The potentiality of low cost natural/agricultural waste biomasses for the removal of Cu(II) ion from aqueous solution has been investigated in batch experiments. The effect of various physico-chemical parameters such as initial pH, initial Cu(II) concentration, adsorbent dosage, contact time and temperature has been studied. The optimum pH for adsorption was found to be 6 for all adsorbents used. Kinetics data were best described by the pseudo-2nd-order model. The experimental data were fitted well with Freundlich and Halsey isotherm models. The diffusion coefficient and sorption energy indicated that the adsorption process was chemical in nature. Thermodynamic parameters such as G • , H • and S • were calculated, and it was observed that the adsorption process was spontaneous and endothermic. The mean sorption energy was calculated using Dubinin-Radushkevich isotherm model and it confirmed that the sorption process was chemical in nature. Different active functional groups were identified by FTIR studies which were responsible for Cu(II) ion adsorption process. Application study using electroplating industrial waste water and regeneration experiment of the adsorbent were also investigated. Design procedure for the batch process was also reported.
Colloids and Surfaces B: Biointerfaces, 2011
Cr(VI) is a major water pollutant from industrial effluent whose concentration is to be reduced w... more Cr(VI) is a major water pollutant from industrial effluent whose concentration is to be reduced within the permissible limit. Present study reports a systematic evaluation of six different natural adsorbents for the removal of Cr(VI) from aqueous solutions in batch process. The adsorption kinetic data were best described by pseudo-second order model. The values of mass transfer coefficient for Cr(VI) adsorption indicated that the velocity of the adsorbate transport from the bulk to the solid phase was quite fast. The effective diffusivity of Cr(VI) removal for all the adsorbents were of the order of 10 −10 m 2 /s which suggested chemisorption of the process. The adsorption process was jointly controlled by film diffusion and intraparticle diffusion. Maximum monolayer adsorption capacities onto the natural adsorbents used were comparable to the other natural adsorbents used by other researchers. The thermodynamic studies and sorption energy calculation using Dubinin-Radushkevich isotherm model indicated that the adsorption processes were endothermic and chemical in nature. FT-IR studies were carried out to understand the type of functional groups responsible for Cr(VI) binding process. Desorption study was carried out with different concentration of NaOH solutions. Application study was carried out using electroplating industrial wastewater.
Fuller's earth is a fine-grained, naturally occurring substance that has a substantial abilit... more Fuller's earth is a fine-grained, naturally occurring substance that has a substantial ability to adsorb impurities. In the present study Fuller's earth has been characterized and used for the removal of Pb(II) from aqueous solution. The effect of various physicochemical parameters such as pH, adsorbent dosage and shaking time on adsorption were studied. The result of the equilibrium studies showed that the solution pH was the key factor affecting the adsorption. The optimum pH for adsorption was 5. Kinetics data for the adsorption of Pb(II) was best described by pseudo-second order model. The effective diffusion co-efficient for Pb(II) adsorption was of the order of 10-8 m2/s. The adsorption data for metal adsorption can be well described by Langmuir adsorption isotherm. The maximum uptake of metal was 103.3 mg/g of adsorbent. Mass transfer analysis was also carried out for the adsorption process. The values of mass transfer coefficients obtained from the study indicate tha...
Chemical Engineering Journal, 2011
In this present work, artificial neural networks (ANN) are applied for the prediction of percenta... more In this present work, artificial neural networks (ANN) are applied for the prediction of percentage adsorption efficiency for the removal of Cu(II) ions from industrial leachate by pumice. The effect of operational parameters such as initial pH, adsorbent dosage, temperature, and contact time is studied to optimize the conditions for maximum removal of Cu(II) ions. The model is first developed using a three layer feed forward backpropagation network with 4, 8 and 4 neurons in first, second and third layers, respectively. Furthermore, radial basis function (RBF) network is also proposed and its performance is compared to traditional network type. A comparison between the ANN models presents high correlation coefficient (R 2 = 0.999) and shows that the RBF network model is able to predict the removal of Cu(II) from industrial leachate more accurately.