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Flux model development and synthesis optimization for an enhanced GO embedded nanocomposite membrane through FFD and RSM approach
A two-level full factorial design was used to analyze several factors involved in PSF–GO–Pebax thin film nanocomposite membranes development. Permeate flux was chosen as a single response for four possible factors: Pebax selective layer concentration, amount of GO load to Pebax selective layer, Peba...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7708821/ https://www.ncbi.nlm.nih.gov/pubmed/33305039 http://dx.doi.org/10.1016/j.heliyon.2020.e05610 |
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author | Abdul Wahab, Mohamad Syafiq Abd Rahman, Sunarti Abu Samah, Rozaimi |
author_facet | Abdul Wahab, Mohamad Syafiq Abd Rahman, Sunarti Abu Samah, Rozaimi |
author_sort | Abdul Wahab, Mohamad Syafiq |
collection | PubMed |
description | A two-level full factorial design was used to analyze several factors involved in PSF–GO–Pebax thin film nanocomposite membranes development. Permeate flux was chosen as a single response for four possible factors: Pebax selective layer concentration, amount of GO load to Pebax selective layer, Pebax–GO selective layer thickness, and amount of GO load to PSF substrate. The study is aimed at factors interaction and contribution towards the highest permeation flux via FFD and RSM approach. R(2) obtained from the ANOVA is 0.9937 with Pebax concentration as the highest contributing factor. Pebax concentration–amount of GO load to PSF substrate is the only interaction contributing to the highest flux. A regression analysis concluded the study with model development and an optimized condition for the membrane design. |
format | Online Article Text |
id | pubmed-7708821 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-77088212020-12-09 Flux model development and synthesis optimization for an enhanced GO embedded nanocomposite membrane through FFD and RSM approach Abdul Wahab, Mohamad Syafiq Abd Rahman, Sunarti Abu Samah, Rozaimi Heliyon Research Article A two-level full factorial design was used to analyze several factors involved in PSF–GO–Pebax thin film nanocomposite membranes development. Permeate flux was chosen as a single response for four possible factors: Pebax selective layer concentration, amount of GO load to Pebax selective layer, Pebax–GO selective layer thickness, and amount of GO load to PSF substrate. The study is aimed at factors interaction and contribution towards the highest permeation flux via FFD and RSM approach. R(2) obtained from the ANOVA is 0.9937 with Pebax concentration as the highest contributing factor. Pebax concentration–amount of GO load to PSF substrate is the only interaction contributing to the highest flux. A regression analysis concluded the study with model development and an optimized condition for the membrane design. Elsevier 2020-11-27 /pmc/articles/PMC7708821/ /pubmed/33305039 http://dx.doi.org/10.1016/j.heliyon.2020.e05610 Text en © 2020 Published by Elsevier Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Abdul Wahab, Mohamad Syafiq Abd Rahman, Sunarti Abu Samah, Rozaimi Flux model development and synthesis optimization for an enhanced GO embedded nanocomposite membrane through FFD and RSM approach |
title | Flux model development and synthesis optimization for an enhanced GO embedded nanocomposite membrane through FFD and RSM approach |
title_full | Flux model development and synthesis optimization for an enhanced GO embedded nanocomposite membrane through FFD and RSM approach |
title_fullStr | Flux model development and synthesis optimization for an enhanced GO embedded nanocomposite membrane through FFD and RSM approach |
title_full_unstemmed | Flux model development and synthesis optimization for an enhanced GO embedded nanocomposite membrane through FFD and RSM approach |
title_short | Flux model development and synthesis optimization for an enhanced GO embedded nanocomposite membrane through FFD and RSM approach |
title_sort | flux model development and synthesis optimization for an enhanced go embedded nanocomposite membrane through ffd and rsm approach |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7708821/ https://www.ncbi.nlm.nih.gov/pubmed/33305039 http://dx.doi.org/10.1016/j.heliyon.2020.e05610 |
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