Using PyCaret to model Chlorella vulgaris's growth response to salinity and oil contamination for crude oil bioremediation
Crude oil spills significantly impact aquatic ecosystems, necessitating innovative remediation strategies. Microalgae-based bioremediation, particularly with Chlorella vulgaris, offers a promising solution. This study introduces a novel framework that evaluates the combined effects of selected envir...
| Publié dans: | Environmental technology. - 1993. - 46(2025), 7 vom: 06. März, Seite 977-990 |
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| Auteur principal: | |
| Autres auteurs: | , |
| Format: | Article en ligne |
| Langue: | English |
| Publié: |
2025
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| Accès à la collection: | Environmental technology |
| Sujets: | Journal Article Bioremediation PyCaret crude oil machine learning salinity tolerance Petroleum Water Pollutants, Chemical |
| Accès en ligne |
Volltext |