Optimization of nutrient medium composition for the production of lipase from waste cooking oil using response surface methodology and artificial neural networks-Reference-Cited by-同舟云学术

Optimization of nutrient medium composition for the production of lipase from waste cooking oil using response surface methodology and artificial neural networks

Published:2021-09-20 Issue: Volume: Page:1-11
ISSN:0098-6445
Container-title:Chemical Engineering Communications
language:en
Short-container-title:Chemical Engineering Communications

Author:

Amenaghawon Andrew Nosakhare¹,Odika Priscilla¹,Aiwekhoe Success Eghosa¹

Affiliation:

1. Department of Chemical Engineering, Faculty of Engineering, University of Benin, Benin City, Edo State, Nigeria

Publisher

Informa UK Limited

Subject

General Chemical Engineering,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/00986445.2021.1980395

Reference48 articles.

1. Comparative study on modeling by neural networks and response surface methodology for better prediction and optimization of fermentation parameters: Application on thermo-alkaline lipase production by Nocardiopsis sp. strain NRC/WN5

2. APPLICATION OF RESPONSE SURFACE METHODOLOGY FOR STATISTICAL OPTIMIZATION OF LIPASE PRODUCTION BY Penicillium sp. EMPLOYING SOLID STATE FERMENTATION

3. Extracellular lipase of Aspergillus niger NRRL3; production, partial purification and properties

4. Optimization of culture conditions for enhanced lipase production by an indigenousBacillus aryabhattaiSE3-PB using response surface methodology

5. Nano-synthesis of solid acid catalysts from waste-iron-filling for biodiesel production using high free fatty acid waste cooking oil

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