Optimization of Fermentation Process Parameters for Ginsenoside Re Bioconversion by Plackett-Burman and Box-Benhnken Design

In this work, Plackett-Burman (PB) and Box-Behnken (BB) experiment design were used to investigate the medium components of fermentation forth of ginsenoside Re bioconversion to ginsenoside Rh1. Firstly, nine variables including cultivation time, temperature, pH, reactant concentration, inoculum’s s...

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Main Authors: Wu Xiuhong, Zhang Lina, Sui Ailin, Qu Boqu, Wang Shaoyan
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201823804001
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spelling doaj-d3a26d55e71f46b482b4606a88a257f62021-04-02T14:09:34ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-012380400110.1051/matecconf/201823804001matecconf_icnfm2018_04001Optimization of Fermentation Process Parameters for Ginsenoside Re Bioconversion by Plackett-Burman and Box-Benhnken DesignWu XiuhongZhang LinaSui AilinQu BoquWang ShaoyanIn this work, Plackett-Burman (PB) and Box-Behnken (BB) experiment design were used to investigate the medium components of fermentation forth of ginsenoside Re bioconversion to ginsenoside Rh1. Firstly, nine variables including cultivation time, temperature, pH, reactant concentration, inoculum’s size, peptone, MgSO4*7H2O, K2HPO4 and NaNO3 were screened. The most important effective factors were estimated according to the statistical regression. Subsequently, the steepest ascent experiment was used to approach the optimum response range for each effective factor. Then Box-Benhnken Design (BBD) was finally used to analyze the response surface of the screened factors for further optimization. The optimized conditions for the influential factors were: ginsenoside Re 1.0 g/L, pH 4.5 and 7 days. The bioconversion of ginsenoside Re to Rh1 could reach up to 51.76 %.https://doi.org/10.1051/matecconf/201823804001
collection DOAJ
language English
format Article
sources DOAJ
author Wu Xiuhong
Zhang Lina
Sui Ailin
Qu Boqu
Wang Shaoyan
spellingShingle Wu Xiuhong
Zhang Lina
Sui Ailin
Qu Boqu
Wang Shaoyan
Optimization of Fermentation Process Parameters for Ginsenoside Re Bioconversion by Plackett-Burman and Box-Benhnken Design
MATEC Web of Conferences
author_facet Wu Xiuhong
Zhang Lina
Sui Ailin
Qu Boqu
Wang Shaoyan
author_sort Wu Xiuhong
title Optimization of Fermentation Process Parameters for Ginsenoside Re Bioconversion by Plackett-Burman and Box-Benhnken Design
title_short Optimization of Fermentation Process Parameters for Ginsenoside Re Bioconversion by Plackett-Burman and Box-Benhnken Design
title_full Optimization of Fermentation Process Parameters for Ginsenoside Re Bioconversion by Plackett-Burman and Box-Benhnken Design
title_fullStr Optimization of Fermentation Process Parameters for Ginsenoside Re Bioconversion by Plackett-Burman and Box-Benhnken Design
title_full_unstemmed Optimization of Fermentation Process Parameters for Ginsenoside Re Bioconversion by Plackett-Burman and Box-Benhnken Design
title_sort optimization of fermentation process parameters for ginsenoside re bioconversion by plackett-burman and box-benhnken design
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2018-01-01
description In this work, Plackett-Burman (PB) and Box-Behnken (BB) experiment design were used to investigate the medium components of fermentation forth of ginsenoside Re bioconversion to ginsenoside Rh1. Firstly, nine variables including cultivation time, temperature, pH, reactant concentration, inoculum’s size, peptone, MgSO4*7H2O, K2HPO4 and NaNO3 were screened. The most important effective factors were estimated according to the statistical regression. Subsequently, the steepest ascent experiment was used to approach the optimum response range for each effective factor. Then Box-Benhnken Design (BBD) was finally used to analyze the response surface of the screened factors for further optimization. The optimized conditions for the influential factors were: ginsenoside Re 1.0 g/L, pH 4.5 and 7 days. The bioconversion of ginsenoside Re to Rh1 could reach up to 51.76 %.
url https://doi.org/10.1051/matecconf/201823804001
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AT suiailin optimizationoffermentationprocessparametersforginsenosiderebioconversionbyplackettburmanandboxbenhnkendesign
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