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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Main Authors: Mohamad Syafiq, Abdul Wahab, Sunarti, Abd Rahman, Rozaimi, Abu Samah
Format: Article
Language:English
Published: Elsevier Ltd 2020
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Online Access:http://umpir.ump.edu.my/id/eprint/31333/1/MSyafiq%201.pdf
http://umpir.ump.edu.my/id/eprint/31333/
http://www.cell.com/heliyon
https://doi.org/10.1016/j.heliyon.2020.e05610
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Institution: Universiti Malaysia Pahang
Language: English
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spelling my.ump.umpir.313332021-04-26T07:33:53Z http://umpir.ump.edu.my/id/eprint/31333/ Flux model development and synthesis optimization for an enhanced GO embedded nanocomposite membrane through FFD and RSM approach. Mohamad Syafiq, Abdul Wahab Sunarti, Abd Rahman Rozaimi, Abu Samah TP Chemical technology 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. R2 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 Ltd 2020-11-23 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/31333/1/MSyafiq%201.pdf Mohamad Syafiq, Abdul Wahab and Sunarti, Abd Rahman and Rozaimi, Abu Samah (2020) Flux model development and synthesis optimization for an enhanced GO embedded nanocomposite membrane through FFD and RSM approach. Heliyon, 6 (05610). pp. 1-13. ISSN 2405-8440 http://www.cell.com/heliyon https://doi.org/10.1016/j.heliyon.2020.e05610
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
Mohamad Syafiq, Abdul Wahab
Sunarti, Abd Rahman
Rozaimi, Abu Samah
Flux model development and synthesis optimization for an enhanced GO embedded nanocomposite membrane through FFD and RSM approach.
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. R2 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 Article
author Mohamad Syafiq, Abdul Wahab
Sunarti, Abd Rahman
Rozaimi, Abu Samah
author_facet Mohamad Syafiq, Abdul Wahab
Sunarti, Abd Rahman
Rozaimi, Abu Samah
author_sort Mohamad Syafiq, Abdul Wahab
title 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_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_sort flux model development and synthesis optimization for an enhanced go embedded nanocomposite membrane through ffd and rsm approach.
publisher Elsevier Ltd
publishDate 2020
url http://umpir.ump.edu.my/id/eprint/31333/1/MSyafiq%201.pdf
http://umpir.ump.edu.my/id/eprint/31333/
http://www.cell.com/heliyon
https://doi.org/10.1016/j.heliyon.2020.e05610
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