Optimization of n variable biological experiments by evolutionary operation-factorial design technique

被引：35

作者：

Tunga, R ^{[1
]}

Banerjee, R ^{[1
]}

Bhattacharyya, BC ^{[1
]}

机构：

[1] Indian Inst Technol, Dept Agr & Food Engn, Microbial Biotechnol & Downstream Proc Lab, Kharagpur 721302, W Bengal, India

来源：

JOURNAL OF BIOSCIENCE AND BIOENGINEERING | 1999年 / 87卷 / 02期

关键词：

optimization; variables; factorial; EVOP; inducer;

D O I：

10.1016/S1389-1723(99)89017-3

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

Since the traditional approach to optimization of biological systems based on the single variable search technique is incapable of detecting the true optimum when a number of chemicals are used together as inducers, the Evolutionary Operation (EVOP)-factorial design technique was applied successfully to optimize the concentrations of vitamin (biotin), metal ion (CaCl2) and plant hormone (NAA) for maximizing enzyme (protease) production by Rhizopus oryzae (RO IIT RB-13, NRRL-21498) in solid state fermentation,Addition of inducers to an optimal level (biotin-2.5 ppm, CaCl2-20 ppm and NAA-12.5 ppm) resulted in a similar to 1.9-fold increase in protease production.

引用

页码：224 / 230

页数：7