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Carbohydr Polym. 2017 Oct 15;174:103-110. doi: 10.1016/j.carbpol.2017.06.021. Epub 2017 Jun 21.

Optimization of dextran production by Weissella cibaria NITCSK4 using Response Surface Methodology-Genetic Algorithm based technology.

Author information

1
Department of Chemical Engineering, National Institute of Technology Calicut, Kerala-673601, India.
2
Department of Biotechnology, Kamaraj College of Engineering and Technology, Virudhunagar, Tamilnadu-626001, India.
3
Department of Chemical Engineering, National Institute of Technology Calicut, Kerala-673601, India. Electronic address: siva@nitc.ac.in.

Abstract

The most influencing factor on dextran production by Weissella cibaria NITCSK4 were screened using Plackett Burman design at 95% confidence limit with higher value of co-efficient of determination (R2) 99.58%. The combined effects of significant factors, namely, sucrose, temperature, dipotassium hydrogen phosphate (K2HPO4) and yeast extract were studied and optimized using Response Surface Methodology (RSM). The input parameters of non-linear models predicted by RSM were subsequently optimized using the genetic algorithm (GA) for obtaining a maximum dextran yield. The maximum yield was obtained with sucrose concentration of 15.78%, yeast extract 1.27%, K2HPO4 1.25%, and at 26°C. The predicted conditions were experimentally validated and 43.79mg/ml of dextran was produced. The dextran yield was 51% higher as compared to unoptimized medium. The molecular weight of resulting dextran produced at 26°C is >2000kDa. The NMR spectroscopic analysis demonstrated that the NITCSK4 produced linear dextran with predominant α (1-6) linkage.

KEYWORDS:

Dextran; Plackett burman design; Response surface methodology and genetic algorithm.; Weissella cibaria NITCSK4

PMID:
28821024
DOI:
10.1016/j.carbpol.2017.06.021
[Indexed for MEDLINE]

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