Optimization of adsorptive removal of α-toluic acid by CaO2 nanoparticles using response surface methodology

The present work addresses the optimization of process parameters for adsorptive removal of α-toluic acid by calcium peroxide (CaO2) nanoparticles using response surface methodology (RSM). CaO2 nanoparticles were synthesized by chemical precipitation method and confirmed by Transmission electron mic...

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Main Authors: Sapana S. Madan, Kailas L. Wasewar, C. Ravi Kumar
Format: Article
Language:English
Published: Tomsk Polytechnic University 2017-09-01
Series:Resource-Efficient Technologies
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405653716302093
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spelling doaj-2ef2d3a3170348deb814bf509bf518f72020-11-25T00:09:03ZengTomsk Polytechnic UniversityResource-Efficient Technologies2405-65372017-09-013332933610.1016/j.reffit.2017.03.004Optimization of adsorptive removal of α-toluic acid by CaO2 nanoparticles using response surface methodologySapana S. MadanKailas L. WasewarC. Ravi KumarThe present work addresses the optimization of process parameters for adsorptive removal of α-toluic acid by calcium peroxide (CaO2) nanoparticles using response surface methodology (RSM). CaO2 nanoparticles were synthesized by chemical precipitation method and confirmed by Transmission electron microscopy (TEM) and high-resolution TEM (HRTEM) analysis which shows the CaO2 nanoparticles size range of 5–15 nm. A series of batch adsorption experiments were performed using CaO2 nanoparticles to remove α-toluic acid from the aqueous solution. Further, an experimental based central composite design (CCD) was developed to study the interactive effect of CaO2 adsorbent dosage, initial concentration of α-toluic acid, and contact time on α-toluic acid removal efficiency (response) and optimization of the process. Analysis of variance (ANOVA) was performed to determine the significance of the individual and the interactive effects of variables on the response. The model predicted response showed a good agreement with the experimental response, and the coefficient of determination, (R2) was 0.92. Among the variables, the interactive effect of adsorbent dosage and the initial α-toluic acid concentration was found to have more influence on the response than the contact time. Numerical optimization of process by RSM showed the optimal adsorbent dosage, initial concentration of α-toluic acid, and contact time as 0.03 g, 7.06 g/L, and 34 min respectively. The predicted removal efficiency was 99.50%. The experiments performed under these conditions showed α-toluic acid removal efficiency up to 98.05%, which confirmed the adequacy of the model prediction.http://www.sciencedirect.com/science/article/pii/S2405653716302093Central composite design (CCD)Analysis of variance (ANOVA)Response surface methodology (RSM)Calcium peroxideNanoparticlesAdsorptionα-Toluic acid
collection DOAJ
language English
format Article
sources DOAJ
author Sapana S. Madan
Kailas L. Wasewar
C. Ravi Kumar
spellingShingle Sapana S. Madan
Kailas L. Wasewar
C. Ravi Kumar
Optimization of adsorptive removal of α-toluic acid by CaO2 nanoparticles using response surface methodology
Resource-Efficient Technologies
Central composite design (CCD)
Analysis of variance (ANOVA)
Response surface methodology (RSM)
Calcium peroxide
Nanoparticles
Adsorption
α-Toluic acid
author_facet Sapana S. Madan
Kailas L. Wasewar
C. Ravi Kumar
author_sort Sapana S. Madan
title Optimization of adsorptive removal of α-toluic acid by CaO2 nanoparticles using response surface methodology
title_short Optimization of adsorptive removal of α-toluic acid by CaO2 nanoparticles using response surface methodology
title_full Optimization of adsorptive removal of α-toluic acid by CaO2 nanoparticles using response surface methodology
title_fullStr Optimization of adsorptive removal of α-toluic acid by CaO2 nanoparticles using response surface methodology
title_full_unstemmed Optimization of adsorptive removal of α-toluic acid by CaO2 nanoparticles using response surface methodology
title_sort optimization of adsorptive removal of α-toluic acid by cao2 nanoparticles using response surface methodology
publisher Tomsk Polytechnic University
series Resource-Efficient Technologies
issn 2405-6537
publishDate 2017-09-01
description The present work addresses the optimization of process parameters for adsorptive removal of α-toluic acid by calcium peroxide (CaO2) nanoparticles using response surface methodology (RSM). CaO2 nanoparticles were synthesized by chemical precipitation method and confirmed by Transmission electron microscopy (TEM) and high-resolution TEM (HRTEM) analysis which shows the CaO2 nanoparticles size range of 5–15 nm. A series of batch adsorption experiments were performed using CaO2 nanoparticles to remove α-toluic acid from the aqueous solution. Further, an experimental based central composite design (CCD) was developed to study the interactive effect of CaO2 adsorbent dosage, initial concentration of α-toluic acid, and contact time on α-toluic acid removal efficiency (response) and optimization of the process. Analysis of variance (ANOVA) was performed to determine the significance of the individual and the interactive effects of variables on the response. The model predicted response showed a good agreement with the experimental response, and the coefficient of determination, (R2) was 0.92. Among the variables, the interactive effect of adsorbent dosage and the initial α-toluic acid concentration was found to have more influence on the response than the contact time. Numerical optimization of process by RSM showed the optimal adsorbent dosage, initial concentration of α-toluic acid, and contact time as 0.03 g, 7.06 g/L, and 34 min respectively. The predicted removal efficiency was 99.50%. The experiments performed under these conditions showed α-toluic acid removal efficiency up to 98.05%, which confirmed the adequacy of the model prediction.
topic Central composite design (CCD)
Analysis of variance (ANOVA)
Response surface methodology (RSM)
Calcium peroxide
Nanoparticles
Adsorption
α-Toluic acid
url http://www.sciencedirect.com/science/article/pii/S2405653716302093
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AT kailaslwasewar optimizationofadsorptiveremovalofatoluicacidbycao2nanoparticlesusingresponsesurfacemethodology
AT cravikumar optimizationofadsorptiveremovalofatoluicacidbycao2nanoparticlesusingresponsesurfacemethodology
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