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Fabrication, Characterization and Response Surface Method (RSM) Optimization for Tetracycline Photodegration by Bi(3.84)W(0.16)O(6.24)- graphene oxide (BWO-GO)
RSM is a powerful tool for optimizing photocatalytic processes. The BWO-GO photocatalysts have been successfully synthesized via inorganic-salt-assisted hydrothermal method. XRD, TEM, FESEM, HRTEM and STEM are used to characterize BWO-GO heterojunction. UV-vis, PL, ESR and radical scavenger experime...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5114609/ https://www.ncbi.nlm.nih.gov/pubmed/27857206 http://dx.doi.org/10.1038/srep37466 |
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author | Song, Chengjie Li, Xinying Wang, Liping Shi, Weidong |
author_facet | Song, Chengjie Li, Xinying Wang, Liping Shi, Weidong |
author_sort | Song, Chengjie |
collection | PubMed |
description | RSM is a powerful tool for optimizing photocatalytic processes. The BWO-GO photocatalysts have been successfully synthesized via inorganic-salt-assisted hydrothermal method. XRD, TEM, FESEM, HRTEM and STEM are used to characterize BWO-GO heterojunction. UV-vis, PL, ESR and radical scavenger experiments are used to explore the photocatalysis mechanism. The photocatalysts are evaluated by TC photodegradation under visible light irradiation. And the main active species in TC photodegradation is ·O(2)(−). Response surface methodology is used to optimize three key independent operating parameters, namely photocatalyst dosage (X(1)), percentages of GO (X(2)) and reaction time (X(3)), for TC photodegradation. The central composite design (CCD) is used to conduct experiments. The results showed that TC removal is significantly affected by the synergistic effect of linear term of X(1) and X(3). However, the quadratic terms of X(1)(2) and X(3)(2) had an antagonistic effect on T removal. The obtained RSM model (R(2) = 0.9206) shows a satisfactory correlation between experimental and predicted values of TC removal. The optimized conditions is of 0.3 g photocatalyst dosage, 1.49 wt% GO loaded percentage and 90 min reaction time. Under this condition, theoretical prediction removal is 80.22% and the actual removal is 78.43%. |
format | Online Article Text |
id | pubmed-5114609 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-51146092016-11-25 Fabrication, Characterization and Response Surface Method (RSM) Optimization for Tetracycline Photodegration by Bi(3.84)W(0.16)O(6.24)- graphene oxide (BWO-GO) Song, Chengjie Li, Xinying Wang, Liping Shi, Weidong Sci Rep Article RSM is a powerful tool for optimizing photocatalytic processes. The BWO-GO photocatalysts have been successfully synthesized via inorganic-salt-assisted hydrothermal method. XRD, TEM, FESEM, HRTEM and STEM are used to characterize BWO-GO heterojunction. UV-vis, PL, ESR and radical scavenger experiments are used to explore the photocatalysis mechanism. The photocatalysts are evaluated by TC photodegradation under visible light irradiation. And the main active species in TC photodegradation is ·O(2)(−). Response surface methodology is used to optimize three key independent operating parameters, namely photocatalyst dosage (X(1)), percentages of GO (X(2)) and reaction time (X(3)), for TC photodegradation. The central composite design (CCD) is used to conduct experiments. The results showed that TC removal is significantly affected by the synergistic effect of linear term of X(1) and X(3). However, the quadratic terms of X(1)(2) and X(3)(2) had an antagonistic effect on T removal. The obtained RSM model (R(2) = 0.9206) shows a satisfactory correlation between experimental and predicted values of TC removal. The optimized conditions is of 0.3 g photocatalyst dosage, 1.49 wt% GO loaded percentage and 90 min reaction time. Under this condition, theoretical prediction removal is 80.22% and the actual removal is 78.43%. Nature Publishing Group 2016-11-18 /pmc/articles/PMC5114609/ /pubmed/27857206 http://dx.doi.org/10.1038/srep37466 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Song, Chengjie Li, Xinying Wang, Liping Shi, Weidong Fabrication, Characterization and Response Surface Method (RSM) Optimization for Tetracycline Photodegration by Bi(3.84)W(0.16)O(6.24)- graphene oxide (BWO-GO) |
title | Fabrication, Characterization and Response Surface Method (RSM) Optimization for Tetracycline Photodegration by Bi(3.84)W(0.16)O(6.24)- graphene oxide (BWO-GO) |
title_full | Fabrication, Characterization and Response Surface Method (RSM) Optimization for Tetracycline Photodegration by Bi(3.84)W(0.16)O(6.24)- graphene oxide (BWO-GO) |
title_fullStr | Fabrication, Characterization and Response Surface Method (RSM) Optimization for Tetracycline Photodegration by Bi(3.84)W(0.16)O(6.24)- graphene oxide (BWO-GO) |
title_full_unstemmed | Fabrication, Characterization and Response Surface Method (RSM) Optimization for Tetracycline Photodegration by Bi(3.84)W(0.16)O(6.24)- graphene oxide (BWO-GO) |
title_short | Fabrication, Characterization and Response Surface Method (RSM) Optimization for Tetracycline Photodegration by Bi(3.84)W(0.16)O(6.24)- graphene oxide (BWO-GO) |
title_sort | fabrication, characterization and response surface method (rsm) optimization for tetracycline photodegration by bi(3.84)w(0.16)o(6.24)- graphene oxide (bwo-go) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5114609/ https://www.ncbi.nlm.nih.gov/pubmed/27857206 http://dx.doi.org/10.1038/srep37466 |
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