Machine learning aided experimental approach for evaluating the growth kinetics of Candida antarctica for lipase production-Reference-Cited by-同舟云学术

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Machine learning aided experimental approach for evaluating the growth kinetics of Candida antarctica for lipase production

Published:2022-05 Issue: Volume:352 Page:127087
ISSN:0960-8524
Container-title:Bioresource Technology
language:en
Short-container-title:Bioresource Technology

Author:

Sarmah Nipon,Mehtab Vazida,Bugata Lakshmi Sai Pratyusha,Tardio James,Bhargava Suresh,Parthasarathy Rajarathinam,Chenna Sumana

Funder

Council of Scientific and Industrial Research

Publisher

Elsevier BV

Subject

Waste Management and Disposal,Renewable Energy, Sustainability and the Environment,General Medicine,Environmental Engineering,Bioengineering

Reference50 articles.

1. Correlation of parameter estimators for models admitting multiple parametrizations;Adoteye;Int. J. Pure Appl. Mathat.,2015

2. Automated image analysis tool to measure microbial growth on solid cultures;Ancin-Murguzur;Comput. Electron. Agric.,2018

3. Lipase-catalyzed dimethyl adipate synthesis: Response surface modeling and kinetics;Chaibakhsh;Biotechnol. J.,2010

4. Synthesis of 2-ethylhexyl oleate catalyzed by Candida antarctica lipase immobilized on a magnetic polymer support in continuous flow;da Silva;Bioprocess Biosyst. Eng.,2020

5. Utilization of methyloleate in production of microbial lipase;Destain;Appl. Biochem. Biotechnol. – Part A Enzym Eng. Biotechnol.,2005

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1. Machine learning approach for microbial growth kinetics analysis of acetic acid-producing bacteria isolated from organic waste;Biochemical Engineering Journal;2024-02

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3. Response surface methodology (RSM) and artificial neural network (ANN) integrated optimization for lipase production by Bacillus holotolerans;Systems Microbiology and Biomanufacturing;2023-11-21

4. Artificial Intelligence Aided Lipase Production and Engineering for Enzymatic Performance Improvement;Journal of Agricultural and Food Chemistry;2023-10-06

5. Machine Learning: A Suitable Method for Biocatalysis;Catalysts;2023-06-01

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