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The optimization of Marasmius androsaceus submerged fermentation conditions in five-liter fermentor

Using desirability function, four indexes including mycelium dry weight, intracellular polysaccharide, adenosine and mannitol yield were uniformed into one expected value (Da) which further served as the assessment criteria. In our present study, Plackett–Burman design was applied to evaluate the ef...

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Autores principales: Meng, Fanxin, Xing, Gaoyang, Li, Yutong, Song, Jia, Wang, Yanzhen, Meng, Qingfan, Lu, Jiahui, Zhou, Yulin, Liu, Yan, Wang, Di, Teng, Lirong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4705249/
https://www.ncbi.nlm.nih.gov/pubmed/26858573
http://dx.doi.org/10.1016/j.sjbs.2015.06.022
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author Meng, Fanxin
Xing, Gaoyang
Li, Yutong
Song, Jia
Wang, Yanzhen
Meng, Qingfan
Lu, Jiahui
Zhou, Yulin
Liu, Yan
Wang, Di
Teng, Lirong
author_facet Meng, Fanxin
Xing, Gaoyang
Li, Yutong
Song, Jia
Wang, Yanzhen
Meng, Qingfan
Lu, Jiahui
Zhou, Yulin
Liu, Yan
Wang, Di
Teng, Lirong
author_sort Meng, Fanxin
collection PubMed
description Using desirability function, four indexes including mycelium dry weight, intracellular polysaccharide, adenosine and mannitol yield were uniformed into one expected value (Da) which further served as the assessment criteria. In our present study, Plackett–Burman design was applied to evaluate the effects of eight variables including initial pH, rotating speed, culture temperature, inoculum size, ventilation volume, culture time, inoculum age and loading volume on Da value during Marasmius androsaceus submerged fermentation via a five-liter fermentor. Culture time, initial pH and rotating speed were found to influence Da value significantly and were further optimized by Box–Behnken design. Results obtained from Box–Behnken design were analyzed by both response surface regression (Design-Expert.V8.0.6.1 software) and artificial neural network combining the genetic algorithm method (Matlab2012a software). After comparison, the optimum M. androsaceus submerged fermentation conditions via a five-liter fermentor were obtained as follows: initial pH of 6.14, rotating speed of 289.3 rpm, culture time of 6.285 days, culture temperature of 26 °C, inoculum size of 5%, ventilation volume of 200 L/h, inoculum age of 4 days, and loading volume of 3.5 L/5 L. The predicted Da value of the optimum model was 0.4884 and the average experimental Da value was 0.4760. The model possesses well fitness and predictive ability.
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spelling pubmed-47052492016-02-08 The optimization of Marasmius androsaceus submerged fermentation conditions in five-liter fermentor Meng, Fanxin Xing, Gaoyang Li, Yutong Song, Jia Wang, Yanzhen Meng, Qingfan Lu, Jiahui Zhou, Yulin Liu, Yan Wang, Di Teng, Lirong Saudi J Biol Sci Original Article Using desirability function, four indexes including mycelium dry weight, intracellular polysaccharide, adenosine and mannitol yield were uniformed into one expected value (Da) which further served as the assessment criteria. In our present study, Plackett–Burman design was applied to evaluate the effects of eight variables including initial pH, rotating speed, culture temperature, inoculum size, ventilation volume, culture time, inoculum age and loading volume on Da value during Marasmius androsaceus submerged fermentation via a five-liter fermentor. Culture time, initial pH and rotating speed were found to influence Da value significantly and were further optimized by Box–Behnken design. Results obtained from Box–Behnken design were analyzed by both response surface regression (Design-Expert.V8.0.6.1 software) and artificial neural network combining the genetic algorithm method (Matlab2012a software). After comparison, the optimum M. androsaceus submerged fermentation conditions via a five-liter fermentor were obtained as follows: initial pH of 6.14, rotating speed of 289.3 rpm, culture time of 6.285 days, culture temperature of 26 °C, inoculum size of 5%, ventilation volume of 200 L/h, inoculum age of 4 days, and loading volume of 3.5 L/5 L. The predicted Da value of the optimum model was 0.4884 and the average experimental Da value was 0.4760. The model possesses well fitness and predictive ability. Elsevier 2016-01 2015-06-27 /pmc/articles/PMC4705249/ /pubmed/26858573 http://dx.doi.org/10.1016/j.sjbs.2015.06.022 Text en © 2015 The Authors 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 Original Article
Meng, Fanxin
Xing, Gaoyang
Li, Yutong
Song, Jia
Wang, Yanzhen
Meng, Qingfan
Lu, Jiahui
Zhou, Yulin
Liu, Yan
Wang, Di
Teng, Lirong
The optimization of Marasmius androsaceus submerged fermentation conditions in five-liter fermentor
title The optimization of Marasmius androsaceus submerged fermentation conditions in five-liter fermentor
title_full The optimization of Marasmius androsaceus submerged fermentation conditions in five-liter fermentor
title_fullStr The optimization of Marasmius androsaceus submerged fermentation conditions in five-liter fermentor
title_full_unstemmed The optimization of Marasmius androsaceus submerged fermentation conditions in five-liter fermentor
title_short The optimization of Marasmius androsaceus submerged fermentation conditions in five-liter fermentor
title_sort optimization of marasmius androsaceus submerged fermentation conditions in five-liter fermentor
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4705249/
https://www.ncbi.nlm.nih.gov/pubmed/26858573
http://dx.doi.org/10.1016/j.sjbs.2015.06.022
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