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Optimization of Specific Productivity for Xylonic Acid Production by Gluconobacter oxydans Using Response Surface Methodology
Large amounts of xylose cannot be efficiently metabolized and fermented due to strain limitations in lignocellulosic biorefinery. The conversion of xylose into high value chemicals can help to reduce the cost of commercialization. Therefore, xylonic acid with potential value in the construction indu...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8414524/ https://www.ncbi.nlm.nih.gov/pubmed/34485263 http://dx.doi.org/10.3389/fbioe.2021.729988 |
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author | He, Tao Xu, Chaozhong Ding, Chenrong Liu, Xu Gu, Xiaoli |
author_facet | He, Tao Xu, Chaozhong Ding, Chenrong Liu, Xu Gu, Xiaoli |
author_sort | He, Tao |
collection | PubMed |
description | Large amounts of xylose cannot be efficiently metabolized and fermented due to strain limitations in lignocellulosic biorefinery. The conversion of xylose into high value chemicals can help to reduce the cost of commercialization. Therefore, xylonic acid with potential value in the construction industry offers a valuable alternative for xylose biorefinery. However, low productivity is the main challenge for xylonic acid fermentation. This study investigated the effect of three reaction parameters (agitation, aeration, and biomass concentration) on xylose acid production and optimized the key process parameters using response surface methodology The second order polynomial model was able to fit the experimental data by using multiple regression analysis. The maximum specific productivity was achieved with a value of 6.64 ± 0.20 g g(x) (−1) h(−1) at the optimal process parameters (agitation speed 728 rpm, aeration rate 7 L min(−1), and biomass concentration 1.11 g L(−1)). These results may help to improve the production efficiency during xylose acid biotransformation from xylose. |
format | Online Article Text |
id | pubmed-8414524 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84145242021-09-04 Optimization of Specific Productivity for Xylonic Acid Production by Gluconobacter oxydans Using Response Surface Methodology He, Tao Xu, Chaozhong Ding, Chenrong Liu, Xu Gu, Xiaoli Front Bioeng Biotechnol Bioengineering and Biotechnology Large amounts of xylose cannot be efficiently metabolized and fermented due to strain limitations in lignocellulosic biorefinery. The conversion of xylose into high value chemicals can help to reduce the cost of commercialization. Therefore, xylonic acid with potential value in the construction industry offers a valuable alternative for xylose biorefinery. However, low productivity is the main challenge for xylonic acid fermentation. This study investigated the effect of three reaction parameters (agitation, aeration, and biomass concentration) on xylose acid production and optimized the key process parameters using response surface methodology The second order polynomial model was able to fit the experimental data by using multiple regression analysis. The maximum specific productivity was achieved with a value of 6.64 ± 0.20 g g(x) (−1) h(−1) at the optimal process parameters (agitation speed 728 rpm, aeration rate 7 L min(−1), and biomass concentration 1.11 g L(−1)). These results may help to improve the production efficiency during xylose acid biotransformation from xylose. Frontiers Media S.A. 2021-08-13 /pmc/articles/PMC8414524/ /pubmed/34485263 http://dx.doi.org/10.3389/fbioe.2021.729988 Text en Copyright © 2021 He, Xu, Ding, Liu and Gu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Bioengineering and Biotechnology He, Tao Xu, Chaozhong Ding, Chenrong Liu, Xu Gu, Xiaoli Optimization of Specific Productivity for Xylonic Acid Production by Gluconobacter oxydans Using Response Surface Methodology |
title | Optimization of Specific Productivity for Xylonic Acid Production by Gluconobacter oxydans Using Response Surface Methodology |
title_full | Optimization of Specific Productivity for Xylonic Acid Production by Gluconobacter oxydans Using Response Surface Methodology |
title_fullStr | Optimization of Specific Productivity for Xylonic Acid Production by Gluconobacter oxydans Using Response Surface Methodology |
title_full_unstemmed | Optimization of Specific Productivity for Xylonic Acid Production by Gluconobacter oxydans Using Response Surface Methodology |
title_short | Optimization of Specific Productivity for Xylonic Acid Production by Gluconobacter oxydans Using Response Surface Methodology |
title_sort | optimization of specific productivity for xylonic acid production by gluconobacter oxydans using response surface methodology |
topic | Bioengineering and Biotechnology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8414524/ https://www.ncbi.nlm.nih.gov/pubmed/34485263 http://dx.doi.org/10.3389/fbioe.2021.729988 |
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