Optimization studies for enhanced bacteriocin production by Pediococcus pentosaceus KC692718 using response surface methodology

被引:0
作者
V. Suganthi
V. Mohanasrinivasan
机构
[1] Vellore Institute of Technology University,Environmental Biotechnology Division, School of Bio Sciences & Technology
来源
Journal of Food Science and Technology | 2015年 / 52卷
关键词
KC692718; Bacteriocin; Optimization; Response surface methodology; Central composite design;
D O I
暂无
中图分类号
学科分类号
摘要
Bacteriocins have been produced by various Lactic acid bacteria (LAB) strains isolated from dairy and fermented vegetable sources. In the current study we have isolated a novel bacteriocin producing strain Pediococcus pentosaceus KC692718 from mixed vegetable pickles (India). A 2 step process optimization for enhancing production of bacteriocin from the isolates was carried out with One-factor-at-a-time (OFAT) and Response Surface Methodology (RSM) methods. A 2.5 fold (AU/mL) increase of bacteriocin was observed for sucrose (2.4 %) as carbon source and 4.7 fold (AU/mL) increased bacteriocin was observed in the presence of soyatone (1.03 %) as nitrogen source in the OFAT experiments. In order to increase bacteriocin production RSM tool was performed with optimized chemical and physical sources using Design expert 8.0.7.1. Soyatone (1.03 %), sucrose (2.4 %), pH (5.5) and temperature (34.5 ºC) condition yielded 25,600.34 AU/mL of bacteriocin from P. pentosaceus KC692718. This is the first report which has produced 20 fold increase of bacteriocin for Pediococcus pentosaceus KC692718 from that of MRS medium with 1 280 AU/mL
引用
收藏
页码:3773 / 3783
页数:10
相关论文
共 50 条
[41]   Optimization of Production of Transesterified Jatropha Curcas oil using Response Surface Methodology [J].
Rajan, R. R. Neela ;
Rajesh, R. ;
Elayidom, Medha R. .
2016 INTERNATIONAL CONFERENCE ON ENERGY EFFICIENT TECHNOLOGIES FOR SUSTAINABILITY (ICEETS), 2016, :187-193
[42]   OPTIMIZATION OF ACETONE-BUTANOL PRODUCTION USING RESPONSE-SURFACE METHODOLOGY [J].
BADR, HR ;
HAMDY, MK .
BIOMASS & BIOENERGY, 1992, 3 (01) :49-55
[43]   Artificial Neural Network and Response Surface Methodology-Mediated Optimization of Bacteriocin Production by Rhizobium leguminosarum [J].
Dibyajit Lahiri ;
Moupriya Nag ;
Bandita Dutta ;
Tanmay Sarkar ;
Rina Rani Ray .
Iranian Journal of Science and Technology, Transactions A: Science, 2021, 45 :1509-1517
[44]   Optimization of improvers for noodles production using response surface methodology [J].
Zheng Z. ;
Zhou H. ;
Luo S. ;
Zhong X. ;
Pan L. ;
Jiang S. .
Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery, 2010, 41 (SUPPL. 1) :203-207
[45]   Artificial Neural Network and Response Surface Methodology-Mediated Optimization of Bacteriocin Production by Rhizobium leguminosarum [J].
Lahiri, Dibyajit ;
Nag, Moupriya ;
Dutta, Bandita ;
Sarkar, Tanmay ;
Ray, Rina Rani .
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION A-SCIENCE, 2021, 45 (05) :1509-1517
[46]   Enhanced -amylase production by a marine protist, Ulkenia sp using response surface methodology and genetic algorithm [J].
Shirodkar, Priyanka V. ;
Muraleedharan, Usha Devi .
PREPARATIVE BIOCHEMISTRY & BIOTECHNOLOGY, 2017, 47 (10) :1043-1049
[47]   Optimization and Modeling of Process Variables of Biodiesel Production from Marula Oil using Response Surface Methodology [J].
Enweremadu, Christopher C. ;
Rutto, Hilary L. .
JOURNAL OF THE CHEMICAL SOCIETY OF PAKISTAN, 2015, 37 (02) :256-265
[48]   Optimization of nutritional components of medium by response surface methodology for enhanced production of lactase [J].
Venkateswarulu, T. C. ;
Prabhakar, K. Vidya ;
Kumar, R. Bharath .
3 BIOTECH, 2017, 7
[49]   Optimization of nutritional components of medium by response surface methodology for enhanced production of lactase [J].
T. C. Venkateswarulu ;
K. Vidya Prabhakar ;
R. Bharath Kumar .
3 Biotech, 2017, 7
[50]   Statistical Optimization of Culture Medium for Enhanced Lipase Production by Aureobasidium pullulans Using Response Surface Methodology [J].
Zhao M. ;
Cai H. ;
Li Y. ;
Lai J. ;
Zhang H. ;
Feng F. .
Journal of Chinese Institute of Food Science and Technology, 2017, 17 (07) :77-85