Medium Optimization for Spore Production of a Straw-Cellulose Degrading Actinomyces Strain under Solid-State Fermentation Using Response Surface Method
Huanran Liu,
Dan Zhang,
Xia Zhang,
Chuanzhi Zhou,
Pei Zhou and
Yuee Zhi
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Huanran Liu: School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China
Dan Zhang: School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China
Xia Zhang: School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China
Chuanzhi Zhou: School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China
Pei Zhou: School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China
Yuee Zhi: School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China
Sustainability, 2020, vol. 12, issue 21, 1-12
Abstract:
The strains capable of degrading cellulose have attracted much interest because of their applications in straw resource utilization in solid-state fermentation (SSF). However, achieving high spore production in SSF is rarely reported. The production of spores from Streptomyces griseorubens JSD-1 was investigated in shaker-flask cultivation in this study. The optimal carbon, organic nitrogen and inorganic nitrogen sources were sucrose, yeast extract and urea, respectively. Plackett–Burman design (PBD) was adopted to determine the key medium components, and the concentration levels of three components (urea, NaCl, MgSO 4 ·7H 2 O) were optimized with the steepest ascent path and central composite design (CCD), achieving 1.72 × 10 9 CFU/g of spore production. Under the optimal conditions (urea 2.718% w/v , NaCl 0.0697% w/v , MgSO 4 ·7H 2 O 0.06956% w/v ), the practical value of spore production was 1.69 × 10 9 CFU/g. The determination coefficient (R 2 ) was 0.9498, which ensures an adequate credibility of the model.
Keywords: optimization; Plackett–Burman design; spore production; central composite design (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
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