Determination of optimal conditions for ribonucleic acid production by Candida tropicalis no. 121

Huajing Ren, Xiaochun Chen, Jiaming Cao, Lei Li, Jianxin Bai, Yong Chen, Jian Xiong, Hanjie Ying

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

The experiments were based on multivariate statistical concepts, and response surface methodology (RSM) was applied to optimize the fermentation medium for the production of ribonucleic acid (RNA) by Candida tropicalis no. 121. The process involved the individual adjustment and optimization of various medium components at shake flask level. The two-level Plackett-Burman (PB) design was used to screen the medium components, which significantly influenced RNA production. Among seven variables, the concentrations of molasses, ZnSO4, and H3PO4 were found to be the important factors that significantly affected RNA production (confidence levels above 95%). These factors were further optimized using a central composite design (CCD) and RSM. The optimum values for the critical components were as follows: molasses 47. 21 g/L: ZnSO4 0. 048 g/L; H3PO4 1. 19 g/L. Under optimal conditions, RNA production was 2. 56 g/L, which was in excellent agreement with the predicted value (2. 561 g/L), and led to a 2. 1-fold increase compare with that using the original medium in RNA production.

Original languageEnglish
Pages (from-to)1721-1726
Number of pages6
JournalKorean Journal of Chemical Engineering
Volume28
Issue number8
DOIs
StatePublished - Aug 2011

Keywords

  • Candida tropicalis no. 121
  • Ferment Production
  • Response Surface Method
  • Ribonucleic Acid
  • Statistical Optimization

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