Literature DB >> 17576552

Optimization of riboflavin production by recombinant Bacillus subtilis RH44 using statistical designs.

Qiu-Li Wu1, Tao Chen, Yu Gan, Xun Chen, Xue-Ming Zhao.   

Abstract

A sequential optimization strategy, based on statistical experimental designs, was used to enhance the production of riboflavin by recombinant Bacillus subtilis RH44. In the first instance, the medium components were optimized in shake flask cultures. After preliminary experiments of nitrogen source selection, the two-level Plackett-Burman (PB) design was implemented to screen medium components that significantly influence riboflavin production. Among the 15 variables tested, glucose, NaNO(3), K(2)HPO(4), ZnSO(4), and MnCl(2) were identified as the most significant factors (confidence levels above 95%) for riboflavin production. The optimal values of these five variables were determined by response surface methodology (RSM) based on the central composite design (CCD). The validity of the model developed was verified, and the optimum medium led to a maximum riboflavin concentration of 6.65 g/l, which was 44.3 and 76.4% higher than the improved medium and the basal medium, respectively. A glucose-limited fed-batch culture profile in a 5-l fermentor was consequently designed according to the above optimum medium in shake flasks. A final riboflavin concentration of 16.36 g/l was obtained in 48 h, which further verified the practicability of this optimum strategy.

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Year:  2007        PMID: 17576552     DOI: 10.1007/s00253-007-1049-y

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  15 in total

Review 1.  Genetic control of biosynthesis and transport of riboflavin and flavin nucleotides and construction of robust biotechnological producers.

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2.  Enhanced riboflavin production by recombinant Bacillus subtilis RF1 through the optimization of agitation speed.

Authors:  Zai-wei Man; Zhi-ming Rao; Yi-peng Cheng; Tao-wei Yang; Xian Zhang; Mei-juan Xu; Zheng-hong Xu
Journal:  World J Microbiol Biotechnol       Date:  2013-09-26       Impact factor: 3.312

3.  Metabolic and bioprocess engineering of the yeast Candida famata for FAD production.

Authors:  Valentyna Y Yatsyshyn; Dariya V Fedorovych; Andriy A Sibirny
Journal:  J Ind Microbiol Biotechnol       Date:  2014-03-05       Impact factor: 3.346

4.  Enhancement of riboflavin production by deregulating gluconeogenesis in Bacillus subtilis.

Authors:  Guanglu Wang; Ling Bai; Zhiwen Wang; Ting Shi; Tao Chen; Xueming Zhao
Journal:  World J Microbiol Biotechnol       Date:  2014-01-30       Impact factor: 3.312

5.  Significantly enhancing recombinant alkaline amylase production in Bacillus subtilis by integration of a novel mutagenesis-screening strategy with systems-level fermentation optimization.

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Journal:  J Biol Eng       Date:  2016-10-17       Impact factor: 4.355

6.  Optimization of Effective Minerals on Riboflavin Production by Bacillus subtilis subsp. subtilis ATCC 6051 Using Statistical Designs.

Authors:  Marjan Oraei; Seyed Hadi Razavi; Faramarz Khodaiyan
Journal:  Avicenna J Med Biotechnol       Date:  2018 Jan-Mar

Review 7.  Strategies to Increase the Production of Biosynthetic Riboflavin.

Authors:  Guiling Zhao; Fanyi Dong; Xingzhen Lao; Heng Zheng
Journal:  Mol Biotechnol       Date:  2021-06-22       Impact factor: 2.695

8.  Optimization of Antioxidant Potential of Penicillium granulatum Bainier by Statistical Approaches.

Authors:  Priyanka Chandra; Daljit Singh Arora
Journal:  ISRN Microbiol       Date:  2012-05-15

9.  Medium composition influence on Biotin and Riboflavin production by newly isolated Candida sp.

Authors:  Gaby Tiemi Suzuki; Juliana Alves Macedo; Gabriela Alves Macedo
Journal:  Braz J Microbiol       Date:  2011-09-01       Impact factor: 2.476

10.  Mixomics analysis of Bacillus subtilis: effect of oxygen availability on riboflavin production.

Authors:  Junlang Hu; Pan Lei; Ali Mohsin; Xiaoyun Liu; Mingzhi Huang; Liang Li; Jianhua Hu; Haifeng Hang; Yingping Zhuang; Meijin Guo
Journal:  Microb Cell Fact       Date:  2017-09-12       Impact factor: 5.328

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