Optimization of media composition for Nattokinase production by Bacillus subtilis using response surface methodology

Deepak, V.; Kalishwaralal, Kalimuthu; Ramkumarpandian, Sureshbabu; Babu, S. Venkatesh; Senthilkumar, S.; Gurunathan, Sangiliyandi

doi:10.1016/j.biortech.2008.03.018

Cited by 182 publications

(91 citation statements)

References 16 publications

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“…The conventional method to optimize the medium is the onefactor-at-a-time method, which is time-consuming and cannot account for interactions between different parameters. Response surface methodology (RSM) is a statistical method used to describe and predict the response of a system of multiple variables with fewer experiments, therefore time and cost effective (Deepak et al, 2008;Mutalik et al, 2008;Zhang et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Enhancing production of a 24-membered ring macrolide compound by a marine bacterium using response surface methodology

Chen

Chen³

et al. 2013

J. Zhejiang Univ. Sci. B

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A 24-membered ring macrolide compound, macrolactin A has potential applications in pharmaceuticals for its anti-infectious and antiviral activity. In this study, macrolactin A was produced by a marine bacterium, which was identified as Bacillus subtilis by 16S ribosomal RNA (rRNA) sequence analysis. Electrospray ionization mass spectrometry (ESI/MS) and nuclear magnetic resonance (NMR) spectroscopy analyses were used to characterize this compound. To improve the production, response surface methodology (RSM) involving Box-Behnken design (BBD) was employed. Faeces bombycis, the main by-product in sericulture, was used as a nitrogen source in fermentation. The interactions between three significant factors, F. bombycis, soluble starch, and (NH 4 ) 2 SO 4 were investigated. A quadratic model was constructed to fit the production and the factors. Optimum medium composition was obtained by analysis of the model. When cultivated in the optimum medium, the production of macrolactin A was increased to 851 mg/L, 2.7 times as compared to the original. This study is also useful to find another way in utilizing F. bombycis.

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Section: Introductionmentioning

confidence: 99%

Enhancing production of a 24-membered ring macrolide compound by a marine bacterium using response surface methodology

Chen

Chen³

et al. 2013

J. Zhejiang Univ. Sci. B

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“…Unfortunately, this approach frequently fails to identify the variables that give rise to the optimum response because the effects of factor interactions are not taken into account in such procedures (Deepak et al 2008). An alternative strategy is statistical optimization, which allows rapid screening of Table 1.…”

Section: Introductionmentioning

confidence: 99%

Response surface methodology for the optimization of α-amylase production by Streptomyces sp. ML12 using agricultural byproducts

et al. 2012

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Amylases constitute one of the most important groups of enzymes for commercial use. In the present study, production of α-amylase was optimized using a newly isolated actinobacterial strain from the coral reef environment of the Gulf of Mannar Biosphere Reserve, India. It was identified as Streptomyces sp. ML12 based on chemotaxonomy, cultural and morphological characteristics, carbon source utilization and 16S rRNA gene sequencing. Fermentation variables were selected in accordance with the Plackett-Burman design and were optimized by response surface methodology. Five significant variables (rice bran and wheat bran -both agricultural byproducts, sodium chloride, magnesium sulphate and incubation period) were selected for the optimization via central composite design. The optimal features were rice bran (5.5 g/100 mL), wheat bran (5.3 g/100 mL), sodium chloride (2.8 g/100 mL), magnesium sulphate (1.4 g/100 mL) and 8 days of incubation period. Optimization of the medium with the above tested features increased the amylase yield by 4.4-fold.

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“…Response surface methodology has eliminated the drawbacks of classical methods and has proved to be powerful and useful for the optimization of the target metabolites production (Deepak et al, 2008;Liu and Wang, 2007;Sayyad et al, 2007). It can also be used to evaluate the relative significance of several variables simultaneously .…”

Section: Introductionmentioning

confidence: 99%

Medium optimization for the production of avermectin B1a by Streptomyces avermitilis 14-12A using response surface methodology

Gao

Liu

et al. 2009

Bioresource Technology

137

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Optimization of media composition for Nattokinase production by Bacillus subtilis using response surface methodology

Cited by 182 publications

References 16 publications

Enhancing production of a 24-membered ring macrolide compound by a marine bacterium using response surface methodology

Enhancing production of a 24-membered ring macrolide compound by a marine bacterium using response surface methodology

Response surface methodology for the optimization of α-amylase production by Streptomyces sp. ML12 using agricultural byproducts

Medium optimization for the production of avermectin B1a by Streptomyces avermitilis 14-12A using response surface methodology

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