scholarly journals Optimization of medium composition for probiotic powder inoculum using the response surface methodology

2021 ◽  
Vol 788 (1) ◽  
pp. 012038
Author(s):  
Rohmatussolihat ◽  
R Ridwan ◽  
Y Widyastuti ◽  
N F Sari ◽  
R Fidryanto ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Medium Composition

scholarly journals Chitinase from a Novel Strain ofSerratia marcescensJPP1 for Biocontrol of Aflatoxin: Molecular Characterization and Production Optimization Using Response Surface Methodology

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Kai Wang ◽  
Pei-sheng Yan ◽  
Li-xin Cao
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Pcr Amplification ◽  
Fold Increase ◽  
Antagonistic Activity ◽  
Medium Composition ◽  
Production Optimization ◽  
Reading Frame ◽  
Mycolytic Enzymes ◽  
Burman Design

Chitinase is one of the most important mycolytic enzymes with industrial significance, and produced by a number of organisms. A chitinase producing isolateSerratia marcescensJPP1 was obtained from peanut hulls in Jiangsu Province, China, and exhibited antagonistic activity against aflatoxins. In this study, we describe the optimization of medium composition with increased production of chitinase for the selected bacteria using statistical methods: Plackett-Burman design was applied to find the key ingredients, and central composite design of response surface methodology was used to optimize the levels of key ingredients for the best yield of chitinase. Maximum chitinase production was predicted to be 23.09 U/mL for a 2.1-fold increase in medium containing 12.70 g/L colloidal chitin, 7.34 g/L glucose, 5.00 g/L peptone, 1.32 g/L (NH4)2SO4, 0.7 g/L K2HPO4, and 0.5 g/L MgSO4·7H2O. Polymerase chain reaction (PCR) amplification of the JPP1 chitinase gene was performed and obtained a 1,789 bp nucleotide sequence; its open reading frame encoded a protein of 499 amino acids named as ChiBjp.

Optimization of Medium Components for β-Glucosidase Production from Aspergillus Niger by Response Surface Methodology

2013 ◽  
Vol 419 ◽  
pp. 328-333 ◽  
Author(s):  
Chao Zhang ◽  
Rui Huang ◽  
Hui Tian ◽  
Ru Ming Zhao ◽  
Fa Shun Yu ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Yeast Extract ◽  
Influence Factors ◽  
Mutual Effect ◽  
Tween 80 ◽  
Fermentation Medium ◽  
Medium Composition ◽  
Malt Extract ◽  
Medium Components

β-Glucosidase is the key enzyme for the utilization of lignocellulose.But the commercial β-glucosidase can’t be produced. This paper focuses on the study of the β-glucosidase fermentation process.The fermentation medium components for β-glucosidase production from Aspergil lusniger was optimized by response surface methodology (RSM). Firstly, the three of the most important influence factors yeast extract, MnSO4•H2O and MgSO4•7H2O was obtained from Plackett-Burman design screening. Then the path of steepest ascent experiment was adopted to approach the optimal region of the medium composition. Lastly, the optimal concentration and mutual effect of three factors were predicted by RSM. The results showed that the best medium composition was Malt extract 18g/L, Yeast extract 3.22g/L, KH2PO4 3g/L, MnSO4•H2O 0.58mM, Tween-80 0.5mL/L and MgSO4•7H2O 0.23g/L. Under these fermentation conditions, the activity of β-glucosidase was up to 7.33IU/mL with increasing 23.2% than before.

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