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Statistical modeling and optimization of heterogeneous Fenton-like removal of organic pollutant using fibrous catalysts: a full factorial design
This work focuses on the optimization of heterogeneous Fenton-like removal of organic pollutant (dye) from water using newly developed fibrous catalysts based on a full factorial experimental design. This study aims to approximate the feasibility of heterogeneous Fenton-like removal process and opti...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7528022/ https://www.ncbi.nlm.nih.gov/pubmed/32999300 http://dx.doi.org/10.1038/s41598-020-72401-z |
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author | Morshed, Mohammad Neaz Pervez, Md. Nahid Behary, Nemeshwaree Bouazizi, Nabil Guan, Jinping Nierstrasz, Vincent A. |
author_facet | Morshed, Mohammad Neaz Pervez, Md. Nahid Behary, Nemeshwaree Bouazizi, Nabil Guan, Jinping Nierstrasz, Vincent A. |
author_sort | Morshed, Mohammad Neaz |
collection | PubMed |
description | This work focuses on the optimization of heterogeneous Fenton-like removal of organic pollutant (dye) from water using newly developed fibrous catalysts based on a full factorial experimental design. This study aims to approximate the feasibility of heterogeneous Fenton-like removal process and optionally make predictions from this approximation in a form of statistical modeling. The fibrous catalysts were prepared by dispersing zerovalent iron nanoparticles on polyester fabrics (PET) before and after incorporation of either polyamidoamine (PAMAM, –NH(2)) dendrimer, 3-(aminopropyl) triethoxysilane (APTES, –Si–NH(2)) or thioglycerol (SH). The individual effect of two main factors [pH (X1) and concentration of hydrogen peroxide-[H(2)O(2)](μl) (X2)] and their interactional effects on the removal process was determined at 95% confidence level by an L(27) design. The results indicated that increasing the pH over 5 decreases the dye removal efficiency whereas the rise in [H(2)O(2)](μl) until equilibrium point increases it. The principal effect of the type of catalysts (PET–NH(2)–Fe, PET–Si–NH(2)–Fe, and PET–SH–Fe) did not show any statistical significance. The factorial experiments demonstrated the existence of a significant synergistic interaction effect between the pH and [H(2)O(2)](μl) as expressed by the values of the coefficient of interactions and analysis of variance (ANOVA). Finally, the functionalization of the resultant fibrous catalysts was validated by electrokinetic and X-ray photoelectron spectroscopy analysis. The optimization made from this study are of great importance for rational design and scaling up of fibrous catalyst for green chemistry and environmental applications. |
format | Online Article Text |
id | pubmed-7528022 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75280222020-10-02 Statistical modeling and optimization of heterogeneous Fenton-like removal of organic pollutant using fibrous catalysts: a full factorial design Morshed, Mohammad Neaz Pervez, Md. Nahid Behary, Nemeshwaree Bouazizi, Nabil Guan, Jinping Nierstrasz, Vincent A. Sci Rep Article This work focuses on the optimization of heterogeneous Fenton-like removal of organic pollutant (dye) from water using newly developed fibrous catalysts based on a full factorial experimental design. This study aims to approximate the feasibility of heterogeneous Fenton-like removal process and optionally make predictions from this approximation in a form of statistical modeling. The fibrous catalysts were prepared by dispersing zerovalent iron nanoparticles on polyester fabrics (PET) before and after incorporation of either polyamidoamine (PAMAM, –NH(2)) dendrimer, 3-(aminopropyl) triethoxysilane (APTES, –Si–NH(2)) or thioglycerol (SH). The individual effect of two main factors [pH (X1) and concentration of hydrogen peroxide-[H(2)O(2)](μl) (X2)] and their interactional effects on the removal process was determined at 95% confidence level by an L(27) design. The results indicated that increasing the pH over 5 decreases the dye removal efficiency whereas the rise in [H(2)O(2)](μl) until equilibrium point increases it. The principal effect of the type of catalysts (PET–NH(2)–Fe, PET–Si–NH(2)–Fe, and PET–SH–Fe) did not show any statistical significance. The factorial experiments demonstrated the existence of a significant synergistic interaction effect between the pH and [H(2)O(2)](μl) as expressed by the values of the coefficient of interactions and analysis of variance (ANOVA). Finally, the functionalization of the resultant fibrous catalysts was validated by electrokinetic and X-ray photoelectron spectroscopy analysis. The optimization made from this study are of great importance for rational design and scaling up of fibrous catalyst for green chemistry and environmental applications. Nature Publishing Group UK 2020-09-30 /pmc/articles/PMC7528022/ /pubmed/32999300 http://dx.doi.org/10.1038/s41598-020-72401-z Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Morshed, Mohammad Neaz Pervez, Md. Nahid Behary, Nemeshwaree Bouazizi, Nabil Guan, Jinping Nierstrasz, Vincent A. Statistical modeling and optimization of heterogeneous Fenton-like removal of organic pollutant using fibrous catalysts: a full factorial design |
title | Statistical modeling and optimization of heterogeneous Fenton-like removal of organic pollutant using fibrous catalysts: a full factorial design |
title_full | Statistical modeling and optimization of heterogeneous Fenton-like removal of organic pollutant using fibrous catalysts: a full factorial design |
title_fullStr | Statistical modeling and optimization of heterogeneous Fenton-like removal of organic pollutant using fibrous catalysts: a full factorial design |
title_full_unstemmed | Statistical modeling and optimization of heterogeneous Fenton-like removal of organic pollutant using fibrous catalysts: a full factorial design |
title_short | Statistical modeling and optimization of heterogeneous Fenton-like removal of organic pollutant using fibrous catalysts: a full factorial design |
title_sort | statistical modeling and optimization of heterogeneous fenton-like removal of organic pollutant using fibrous catalysts: a full factorial design |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7528022/ https://www.ncbi.nlm.nih.gov/pubmed/32999300 http://dx.doi.org/10.1038/s41598-020-72401-z |
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