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Response Surface Methodology: A Versatile Tool for the Optimization of Particle Sizes of Cellulose Beads

Synthesis parameters are of utmost importance for controlling the particle sizes of cellulose beads. This study aims to investigate the effects of synthesis parameters e.g., stirring speed (250–1250 rpm), surfactant concentrations (0.5–6.0% w/v), cellulose concentrations (1–5% w/v), and reaction tem...

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Main Authors: Kimberly Tay, Wei Wei, Chin, Suk Fun, Mohd Effendi, Wasli, Zaki, Musa
Format: Article
Language:English
Published: Pertanika 2023
Subjects:
QD Chemistry
Online Access:http://ir.unimas.my/id/eprint/42994/3/Response.pdf
http://ir.unimas.my/id/eprint/42994/
http://www.pertanika.upm.edu.my/pjst/browse/regular-issue?article=JST-4016-2022
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spelling my.unimas.ir.429942023-10-12T06:22:57Z http://ir.unimas.my/id/eprint/42994/ Response Surface Methodology: A Versatile Tool for the Optimization of Particle Sizes of Cellulose Beads Kimberly Tay, Wei Wei Chin, Suk Fun Mohd Effendi, Wasli Zaki, Musa QD Chemistry Synthesis parameters are of utmost importance for controlling the particle sizes of cellulose beads. This study aims to investigate the effects of synthesis parameters e.g., stirring speed (250–1250 rpm), surfactant concentrations (0.5–6.0% w/v), cellulose concentrations (1–5% w/v), and reaction temperature (30-100°C) on the particle sizes for micron-sized cellulose beads (μCBs) as well as other parameters e.g. the volume (1.0 mL) and concentration (0.1–1.0% w/v) of cellulose for nanosized (nCBs) cellulose beads using the response surface methodology (RSM). A total of 27 runs were conducted applying RSM based on the central composite design approach with Minitab-19. Cellulose concentrations were shown to have the most significant effect on both μCBs and nCBs. Under optimized conditions, the minimum and maximum mean particle size of μCBs that could be achieved were 15.3 μm and 91 μm, respectively. The predicted mean particle size for nCBs was obtained at 0.01 nm as the smallest and 200 nm as the biggest particle size under the optimum conditions. This study envisages that RSM and experiments for targeted applications such as biomedicine and agriculture could optimize the particle sizes of cellulose beads. Pertanika 2023 Article PeerReviewed text en http://ir.unimas.my/id/eprint/42994/3/Response.pdf Kimberly Tay, Wei Wei and Chin, Suk Fun and Mohd Effendi, Wasli and Zaki, Musa (2023) Response Surface Methodology: A Versatile Tool for the Optimization of Particle Sizes of Cellulose Beads. Pertanika Journal of Science & Technology, 31 (6). 2805 -2822. ISSN 2231-8534 http://www.pertanika.upm.edu.my/pjst/browse/regular-issue?article=JST-4016-2022 DOI: https://doi.org/10.47836/pjst.31.6.10
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic QD Chemistry
spellingShingle QD Chemistry
Kimberly Tay, Wei Wei
Chin, Suk Fun
Mohd Effendi, Wasli
Zaki, Musa
Response Surface Methodology: A Versatile Tool for the Optimization of Particle Sizes of Cellulose Beads
description Synthesis parameters are of utmost importance for controlling the particle sizes of cellulose beads. This study aims to investigate the effects of synthesis parameters e.g., stirring speed (250–1250 rpm), surfactant concentrations (0.5–6.0% w/v), cellulose concentrations (1–5% w/v), and reaction temperature (30-100°C) on the particle sizes for micron-sized cellulose beads (μCBs) as well as other parameters e.g. the volume (1.0 mL) and concentration (0.1–1.0% w/v) of cellulose for nanosized (nCBs) cellulose beads using the response surface methodology (RSM). A total of 27 runs were conducted applying RSM based on the central composite design approach with Minitab-19. Cellulose concentrations were shown to have the most significant effect on both μCBs and nCBs. Under optimized conditions, the minimum and maximum mean particle size of μCBs that could be achieved were 15.3 μm and 91 μm, respectively. The predicted mean particle size for nCBs was obtained at 0.01 nm as the smallest and 200 nm as the biggest particle size under the optimum conditions. This study envisages that RSM and experiments for targeted applications such as biomedicine and agriculture could optimize the particle sizes of cellulose beads.
format Article
author Kimberly Tay, Wei Wei
Chin, Suk Fun
Mohd Effendi, Wasli
Zaki, Musa
author_facet Kimberly Tay, Wei Wei
Chin, Suk Fun
Mohd Effendi, Wasli
Zaki, Musa
author_sort Kimberly Tay, Wei Wei
title Response Surface Methodology: A Versatile Tool for the Optimization of Particle Sizes of Cellulose Beads
title_short Response Surface Methodology: A Versatile Tool for the Optimization of Particle Sizes of Cellulose Beads
title_full Response Surface Methodology: A Versatile Tool for the Optimization of Particle Sizes of Cellulose Beads
title_fullStr Response Surface Methodology: A Versatile Tool for the Optimization of Particle Sizes of Cellulose Beads
title_full_unstemmed Response Surface Methodology: A Versatile Tool for the Optimization of Particle Sizes of Cellulose Beads
title_sort response surface methodology: a versatile tool for the optimization of particle sizes of cellulose beads
publisher Pertanika
publishDate 2023
url http://ir.unimas.my/id/eprint/42994/3/Response.pdf
http://ir.unimas.my/id/eprint/42994/
http://www.pertanika.upm.edu.my/pjst/browse/regular-issue?article=JST-4016-2022
_version_ 1781710343792230400
score 13.211869

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