New response surface approach to optimize medium composition for production of bacteriocin by Lactobacillus acidophilus ATCC 4356

Sungsue Rheem, Sejong Oh, Kyoung Sik Han, Jee Young Imm, Saehun Kim

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

The objective of this study was to optimize medium composition of initial pH, tryptone, glucose, yeast extract, and mineral mixture for production of bacteriocin by Lactobacillus acidophilus ATCC 4356, using response surface methodology. A response surface approach including new statistical and plotting methods was employed for design and analysis of the experiment. An interiorly augmented central composite design was used as an experimental design. A normal-distribution log-link generalized linear model based on a subset fourth-order polynomial (R2=0.94, Mean Error Deviance=0.0065) was used as an analysis model. This model was statistically superior to the full second-order polynomial-based generalized linear model (R2=0.80, Mean Error Deviance= 0.0140). Nonlinear programming determined the optimum composition of the medium as initial pH 6.35, tryptone 1.21%, glucose 0.9%, yeast extract 0.65%, and mineral mixture 1.17%. A validation experiment confirmed that the optimized medium was comparable to the MRS medium in bacteriocin production, having the advantage of economy and practicality.

Original languageEnglish
Pages (from-to)449-456
Number of pages8
JournalJournal of microbiology and biotechnology
Volume12
Issue number3
Publication statusPublished - 2002

Keywords

  • Bacteriocin
  • Lactobacillus acidophilus
  • Optimization
  • Response surface methodology

ASJC Scopus subject areas

  • Biotechnology
  • Applied Microbiology and Biotechnology

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