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Optimization of operating parameters for xylose reductase separation through ultrafiltration membrane using response surface methodology

The application of the xylose reductase (XR) enzyme in the development of biotechnology demands an efficient and large scale enzyme separation technique. The aim of this present work was to optimize xylose reductase (XR) purification process through ultrafiltration membrane (UF) technology using Cen...

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Autores principales: Krishnan, Santhana, Suzana, B. Noor, Wahid, Zularisam Abdul, Nasrullah, Mohd, Abdul Munaim, Mimi Sakinah, Din, Mohd Fadhil Bin MD, Taib, Shazwin Mat, Li, Yu You
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7341114/
https://www.ncbi.nlm.nih.gov/pubmed/32670809
http://dx.doi.org/10.1016/j.btre.2020.e00498
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author Krishnan, Santhana
Suzana, B. Noor
Wahid, Zularisam Abdul
Nasrullah, Mohd
Abdul Munaim, Mimi Sakinah
Din, Mohd Fadhil Bin MD
Taib, Shazwin Mat
Li, Yu You
author_facet Krishnan, Santhana
Suzana, B. Noor
Wahid, Zularisam Abdul
Nasrullah, Mohd
Abdul Munaim, Mimi Sakinah
Din, Mohd Fadhil Bin MD
Taib, Shazwin Mat
Li, Yu You
author_sort Krishnan, Santhana
collection PubMed
description The application of the xylose reductase (XR) enzyme in the development of biotechnology demands an efficient and large scale enzyme separation technique. The aim of this present work was to optimize xylose reductase (XR) purification process through ultrafiltration membrane (UF) technology using Central composite design (CCD) of response surface methods (RSM). The three effective parameters analyzed were filtration time (0–100), transmembrane pressure (TMP) (1–1.6 bar), cross flow velocity (CFV) (0.52–1.2 cm/s(−1)) and its combined effect to obtain high flux with less possibility of membrane fouling. Experimental studies revealed that the best range for optimization process for filtration time, operational transmembrane pressure and cross flow velocity was 30 min, 1.4 bars and 1.06 cm/s, respectively as these conditions yielded the highest membrane permeability (56.03 Lm(-2)h-(1) bar(−1)) and xylitol content (15.49 g/l). According to the analysis of variance (ANOVA), the p-value (<0.0001) indicated the designed model was highly significant. The error percentage between the actual and predicted value for membrane permeability and xylitol amount (2.21 % and 4.85 % respectively), which both were found to be close to the predicted values. The verification experiments gave membrane actual permeability of 57.3 Lm(-2)h-(1) bar(−1) and 16.29 g/l of xylitol production, thus indicating that the successfully developed model to predict the response.
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spelling pubmed-73411142020-07-14 Optimization of operating parameters for xylose reductase separation through ultrafiltration membrane using response surface methodology Krishnan, Santhana Suzana, B. Noor Wahid, Zularisam Abdul Nasrullah, Mohd Abdul Munaim, Mimi Sakinah Din, Mohd Fadhil Bin MD Taib, Shazwin Mat Li, Yu You Biotechnol Rep (Amst) Research Article The application of the xylose reductase (XR) enzyme in the development of biotechnology demands an efficient and large scale enzyme separation technique. The aim of this present work was to optimize xylose reductase (XR) purification process through ultrafiltration membrane (UF) technology using Central composite design (CCD) of response surface methods (RSM). The three effective parameters analyzed were filtration time (0–100), transmembrane pressure (TMP) (1–1.6 bar), cross flow velocity (CFV) (0.52–1.2 cm/s(−1)) and its combined effect to obtain high flux with less possibility of membrane fouling. Experimental studies revealed that the best range for optimization process for filtration time, operational transmembrane pressure and cross flow velocity was 30 min, 1.4 bars and 1.06 cm/s, respectively as these conditions yielded the highest membrane permeability (56.03 Lm(-2)h-(1) bar(−1)) and xylitol content (15.49 g/l). According to the analysis of variance (ANOVA), the p-value (<0.0001) indicated the designed model was highly significant. The error percentage between the actual and predicted value for membrane permeability and xylitol amount (2.21 % and 4.85 % respectively), which both were found to be close to the predicted values. The verification experiments gave membrane actual permeability of 57.3 Lm(-2)h-(1) bar(−1) and 16.29 g/l of xylitol production, thus indicating that the successfully developed model to predict the response. Elsevier 2020-06-29 /pmc/articles/PMC7341114/ /pubmed/32670809 http://dx.doi.org/10.1016/j.btre.2020.e00498 Text en © 2020 Published by Elsevier B.V. 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
Krishnan, Santhana
Suzana, B. Noor
Wahid, Zularisam Abdul
Nasrullah, Mohd
Abdul Munaim, Mimi Sakinah
Din, Mohd Fadhil Bin MD
Taib, Shazwin Mat
Li, Yu You
Optimization of operating parameters for xylose reductase separation through ultrafiltration membrane using response surface methodology
title Optimization of operating parameters for xylose reductase separation through ultrafiltration membrane using response surface methodology
title_full Optimization of operating parameters for xylose reductase separation through ultrafiltration membrane using response surface methodology
title_fullStr Optimization of operating parameters for xylose reductase separation through ultrafiltration membrane using response surface methodology
title_full_unstemmed Optimization of operating parameters for xylose reductase separation through ultrafiltration membrane using response surface methodology
title_short Optimization of operating parameters for xylose reductase separation through ultrafiltration membrane using response surface methodology
title_sort optimization of operating parameters for xylose reductase separation through ultrafiltration membrane using response surface methodology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7341114/
https://www.ncbi.nlm.nih.gov/pubmed/32670809
http://dx.doi.org/10.1016/j.btre.2020.e00498
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