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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...

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Detalles Bibliográficos
Autores principales: Abdul Wahab, Mohamad Syafiq, Abd Rahman, Sunarti, Abu Samah, Rozaimi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
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.
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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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