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Statistical Optimization of Biomass and Extracellular Polysaccharide Production by the Wild Helvella lacunosa Mycelium in Liquid-State Fermentation Using a Pine Needles Extract Medium

Authors :
Shang Guo
Li-Na Xu
Yan-Ting Li
Wei-Wei Guo
Xiao-Fei Guo
Sha-Sha Hong
Source :
Journal of Chemistry, Vol 2023 (2023)
Publication Year :
2023
Publisher :
Hindawi Limited, 2023.

Abstract

The objective of this study was using a statistical model to optimize the medium formula and liquid culturing conditions, which was employed to evaluate the potency of pine needles extract as nutritional component in basal medium for culturing Helvella lacunose in order to enhancing the production of mycelia and extracellular polysaccharides (EPS). The most proper carbon and nitrogen source, various fermentation parameters (i.e., initial pH in medium, fermentation time, and temperature) were investigated by single factor test. Based on the experimentation, the optimal concentrations of carbon and nitrogen sources were analyzed by response surface methodology (RSM). The results showed that the optimal medium formula and liquid culturing conditions were 1000 mL pine needles extract, 33.56 g glucose, 4.11 g peptone, 4.06 g YE, 1 g KH2PO4, 1 g NaHCO3, 0.5 g MgSO4, 0.01 g vitamin B1 for the accumulation of mycelial biomass (at pH 6.0, 25°C culturing of 7 days), and EPS (at pH 7.0, 25°C culturing of 10 days). Under optimized medium, the experimental production of mycelia and EPS were 11.78 g/L and 223.16 mg/L, which were 10.52 and 4.85 times than that of control (1.12 ± 0.52 g/L and 46.08 ± 1.18 mg/L, respectively). This data implied that statistical model is very useful tools for optimizing media components and fermentation parameters, and the screened media components and parameters have reference value for further large-scale production.

Subjects

Subjects :
Chemistry
QD1-999

Details

Language :
English
ISSN :
20909071
Volume :
2023
Database :
Directory of Open Access Journals
Journal :
Journal of Chemistry
Publication Type :
Academic Journal
Accession number :
edsdoj.0073e0008377497d8ab98066a4057263
Document Type :
article
Full Text :
https://doi.org/10.1155/2023/3591787