Literature DB >> 18601246

Evolutionary operation (EVOP) to optimize three-dimensional biological experiments.

R Banerjee1, B C Bhattacharyya.   

Abstract

Evolutionary operation (EVOP) is used as an efficient technique for optimization of three variable experimental parameters using two-level factorial designs with center points. For metabolic function like enzyme synthesis by microorganisms, small amounts of metal ions, surfactants, and vitamins act as inducers. The desired quantities of these chemicals are, however, species dependent and have to be found out or each microorganism. By employing the EVOP technique, the requirements of these chemicals have been optimized for the production of protease by Rhizopus oryzae (RO, IIT KGP).

Entities:  

Year:  1993        PMID: 18601246     DOI: 10.1002/bit.260410109

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  5 in total

1.  Optimization of Process Variables for Lipase Biosynthesis from Rhizopus oligosporus NRRL 5905 Using Evolutionary Operation Factorial Design Technique.

Authors:  Paramita Mahapatra; Annapurna Kumari; Vijay Kumar Garlapati; Rintu Banerjee; A Nag
Journal:  Indian J Microbiol       Date:  2011-01-30       Impact factor: 2.461

2.  Optimization of antibacterial activity of Perilla frutescens var. acuta leaf against Pseudomonas aeruginosa using the evolutionary operation-factorial design technique.

Authors:  Ung-Kyu Choi; Ok-Hwan Lee; Seong-Il Lim; Young-Chan Kim
Journal:  Int J Mol Sci       Date:  2010-10-14       Impact factor: 5.923

3.  Applying the Taguchi design for optimized formulation of sustained release gliclazide chitosan beads: an in vitro/in vivo study.

Authors:  J Varshosaz; N Tavakoli; M Minayian; N Rahdari
Journal:  AAPS PharmSciTech       Date:  2009-02-10       Impact factor: 3.246

4.  Optimization of antibacterial activity of Perilla frutescens var. acuta leaf against Staphylococcus aureus using evolutionary operation factorial design technique.

Authors:  Dae-Hyun Kim; Young-Chan Kim; Ung-Kyu Choi
Journal:  Int J Mol Sci       Date:  2011-04-06       Impact factor: 5.923

5.  Statistical optimization for enhanced yields of probiotic Bacillus coagulans and its phage resistant mutants followed by kinetic modelling of the process.

Authors:  Kavita R Pandey; Chetan Joshi; Babu V Vakil
Journal:  Springerplus       Date:  2016-09-23
  5 in total

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