Literature DB >> 30074139

Use of statistical experimental methods for optimization of collagenolytic protease production by Bacillus cereus strain SUK grown on fish scales.

Prashant K Bhagwat1, Komal K Bhise1, Madhuri V Bhuimbar2, Padma B Dandge3.   

Abstract

In this study, novel and cheap sources like fish scales and molasses were used for the production of collagenolytic protease. Statistical optimization of different parameters for the production of collagenolytic protease by Bacillus cereus strain SUK has been carried out using response surface methodology (RSM). Three most significant medium components identified by Plackett-Burman (PB) were fish scales, molasses, and incubation time, which were further optimized using central composite design (CCD). The medium having fish scales 9.38 g l-1, molasses 2.42 g l-1, and incubation time of 67.34 h was found to be optimum for maximum collagenolytic protease production. B. cereus strain SUK has shown multiple plant growth-promoting traits, whereas degraded fish scale hydrolysates (FSHs) were having antimicrobial as well as plant growth-promoting abilities. The collagenolytic efficiency of this isolate can be exploited in an eco-friendly process of bioconversion of fish waste, representing an alternative way of waste management that could be used to produce various value-added products, such as collagenolytic protease, microbial biomass, amino acids, protein hydrolysates, and collagen peptides.

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Keywords:  Bacillus cereus strain SUK; Collagenolytic protease; Fish scale hydrolysates; Plant growth-promoting traits; Response surface methodology

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Year:  2018        PMID: 30074139     DOI: 10.1007/s11356-018-2859-4

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  1 in total

1.  Statistical media optimization for the production of clinical uricase from Bacillus subtilis strain SP6.

Authors:  Sneha O Pustake; Prashant K Bhagwat; Padma B Dandge
Journal:  Heliyon       Date:  2019-05-21
  1 in total

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