search
for
 About Bioline  All Journals  Testimonials  Membership  News


Electronic Journal of Biotechnology
Universidad Católica de Valparaíso
ISSN: 0717-3458
Vol. 17, No. 3, 2014, pp. 132-136
Bioline Code: ej14022
Full paper language: English
Document type: Research Article
Document available free of charge

Electronic Journal of Biotechnology, Vol. 17, No. 3, 2014, pp. 132-136

 en Optimization of Bacillus subtilis check for this species in other resources cell growth effecting jiean-peptide production in fed batch fermentation using central composite design
Zhong, Juan; Zhang, Xiaoyong; Ren, Yanli; Yang, Jie; Tan, Hong & Zhou, Jinyan

Abstract

Background: Optimization of nutrient feeding was developed to improve the growth of Bacillus subtilis check for this species in other resources in fed batch fermentation to increase the production of jiean-peptide (JAA). A central composite design (CCD) was used to obtain a model describing the relationship between glucose, total nitrogen, and the maximum cell dry weight in the culture broth with fed batch fermentation in a 5 L fermentor.
Results: The results were analyzed using response surface methodology (RSM), and the optimized values of glucose and total nitrogen concentration were 30.70 g/L and 1.68 g/L in the culture, respectively. The highest cell dry weight was improved to 77.50 g/L in fed batch fermentation, which is 280% higher than the batch fermentation concentration (20.37 g/L). This led to a 44% increase of JAA production in fed batch fermentation as compared to the production of batch fermentation.
Conclusion: The results of this work improve the present production of JAA and may be adopted for other objective products' production.

Keywords
Bacillus subtilis ZK8; Iturin A; Response surface methodology

 
© copyright 2014 - Electronic Journal of Biotechnology
Alternative site location: http://www.ejbiotechnology.info

Home Faq Resources Email Bioline
© Bioline International, 1989 - 2024, Site last up-dated on 01-Sep-2022.
Site created and maintained by the Reference Center on Environmental Information, CRIA, Brazil
System hosted by the Google Cloud Platform, GCP, Brazil