Evaluation of the Estimation Capability of Response Surface Methodology and Artificial Neural Network for the Optimization of Bacteriocin-Like Inhibitory Substances Production by <i>Lactococcus lactis</i> Gh1

Evaluation of the Estimation Capability of Response Surface Methodology and Artificial Neural Network for the Optimization of Bacteriocin-Like Inhibitory Substances Production by <i>Lactococcus lactis</i> Gh1

Bacteriocin-like inhibitory substances (BLIS) produced by <i>Lactococcus lactis</i> Gh1 had shown antimicrobial activity against <i>Listeria monocytogenes</i> ATCC 15313. Brain Heart Infusion (BHI) broth is used for the cultivation and enumeration of lactic acid bacteria, but...

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Bibliographic Details
Main Authors: Roslina Jawan, Sahar Abbasiliasi, Joo Shun Tan, Mohd Rizal Kapri, Shuhaimi Mustafa, Murni Halim, Arbakariya B. Ariff
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Microorganisms
Subjects:
response surface methodology
artificial neural network
optimization
bacteriocin-like inhibitory substances
<i>Lactococcus lactis</i> Gh1
Online Access:https://www.mdpi.com/2076-2607/9/3/579

Internet

https://www.mdpi.com/2076-2607/9/3/579

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