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

Bibliographic Details
Published in:Bioresource Technology
Main Authors: Sarmah, Nipon, Mehtab, Vazida, Bugata, Lakshmi Sai Pratyusha, Tardio, James, Bhargava, Suresh, Parthasarathy, Rajarathinam, Chenna, Sumana
Other Authors: Council of Scientific and Industrial Research
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier BV 2022
Subjects:
Waste Management and Disposal
Renewable Energy, Sustainability and the Environment
General Medicine
Environmental Engineering
Bioengineering
Antarc*
Antarctica
Online Access:http://dx.doi.org/10.1016/j.biortech.2022.127087
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spelling crelsevierbv:10.1016/j.biortech.2022.127087 2023-05-15T14:07:28+02:00 Machine learning aided experimental approach for evaluating the growth kinetics of Candida antarctica for lipase production Sarmah, Nipon Mehtab, Vazida Bugata, Lakshmi Sai Pratyusha Tardio, James Bhargava, Suresh Parthasarathy, Rajarathinam Chenna, Sumana Council of Scientific and Industrial Research 2022 http://dx.doi.org/10.1016/j.biortech.2022.127087 https://api.elsevier.com/content/article/PII:S0960852422004163?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S0960852422004163?httpAccept=text/plain en eng Elsevier BV https://www.elsevier.com/tdm/userlicense/1.0/ Bioresource Technology volume 352, page 127087 ISSN 0960-8524 Waste Management and Disposal Renewable Energy, Sustainability and the Environment General Medicine Environmental Engineering Bioengineering journal-article 2022 crelsevierbv https://doi.org/10.1016/j.biortech.2022.127087 2022-11-29T08:56:23Z Article in Journal/Newspaper Antarc* Antarctica ScienceDirect (Elsevier - via Crossref) Bioresource Technology 352 127087
institution Open Polar
collection ScienceDirect (Elsevier - via Crossref)
op_collection_id crelsevierbv
language English
topic Waste Management and Disposal
Renewable Energy, Sustainability and the Environment
General Medicine
Environmental Engineering
Bioengineering
spellingShingle Waste Management and Disposal
Renewable Energy, Sustainability and the Environment
General Medicine
Environmental Engineering
Bioengineering
Sarmah, Nipon
Mehtab, Vazida
Bugata, Lakshmi Sai Pratyusha
Tardio, James
Bhargava, Suresh
Parthasarathy, Rajarathinam
Chenna, Sumana
Machine learning aided experimental approach for evaluating the growth kinetics of Candida antarctica for lipase production
topic_facet Waste Management and Disposal
Renewable Energy, Sustainability and the Environment
General Medicine
Environmental Engineering
Bioengineering
author2 Council of Scientific and Industrial Research
format Article in Journal/Newspaper
author Sarmah, Nipon
Mehtab, Vazida
Bugata, Lakshmi Sai Pratyusha
Tardio, James
Bhargava, Suresh
Parthasarathy, Rajarathinam
Chenna, Sumana
author_facet Sarmah, Nipon
Mehtab, Vazida
Bugata, Lakshmi Sai Pratyusha
Tardio, James
Bhargava, Suresh
Parthasarathy, Rajarathinam
Chenna, Sumana
author_sort Sarmah, Nipon
title Machine learning aided experimental approach for evaluating the growth kinetics of Candida antarctica for lipase production
title_short Machine learning aided experimental approach for evaluating the growth kinetics of Candida antarctica for lipase production
title_full Machine learning aided experimental approach for evaluating the growth kinetics of Candida antarctica for lipase production
title_fullStr Machine learning aided experimental approach for evaluating the growth kinetics of Candida antarctica for lipase production
title_full_unstemmed Machine learning aided experimental approach for evaluating the growth kinetics of Candida antarctica for lipase production
title_sort machine learning aided experimental approach for evaluating the growth kinetics of candida antarctica for lipase production
publisher Elsevier BV
publishDate 2022
url http://dx.doi.org/10.1016/j.biortech.2022.127087
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genre Antarc*
Antarctica
genre_facet Antarc*
Antarctica
op_source Bioresource Technology
volume 352, page 127087
ISSN 0960-8524
op_rights https://www.elsevier.com/tdm/userlicense/1.0/
op_doi https://doi.org/10.1016/j.biortech.2022.127087
container_title Bioresource Technology
container_volume 352
container_start_page 127087
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