Machine learning aided experimental approach for evaluating the growth kinetics of Candida antarctica for lipase production
Published in: | Bioresource Technology |
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Format: | Article in Journal/Newspaper |
Language: | English |
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Elsevier BV
2022
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Online Access: | 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 |
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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 https://api.elsevier.com/content/article/PII:S0960852422004163?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S0960852422004163?httpAccept=text/plain |
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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1766279355816738816 |