Machine learning-driven multi-objective optimization of Dunaliella salina cultivation for enhanced biomass and β-carotene production.
Saved in:
| Title: | Machine learning-driven multi-objective optimization of Dunaliella salina cultivation for enhanced biomass and β-carotene production. |
|---|---|
| Authors: | Tang J; MOE Key Laboratory of Bio-Intelligent Manufacturing, School of Bioengineering, Dalian University of Technology, Dalian, Liaoning 116024, China., Zhang Z; MOE Key Laboratory of Bio-Intelligent Manufacturing, School of Bioengineering, Dalian University of Technology, Dalian, Liaoning 116024, China., Wang J; MOE Key Laboratory of Bio-Intelligent Manufacturing, School of Bioengineering, Dalian University of Technology, Dalian, Liaoning 116024, China., Kong F; MOE Key Laboratory of Bio-Intelligent Manufacturing, School of Bioengineering, Dalian University of Technology, Dalian, Liaoning 116024, China., Chi Z; MOE Key Laboratory of Bio-Intelligent Manufacturing, School of Bioengineering, Dalian University of Technology, Dalian, Liaoning 116024, China. Electronic address: chizhy@dlut.edu.cn. |
| Source: | Bioresource technology [Bioresour Technol] 2026 Apr; Vol. 446, pp. 134182. Date of Electronic Publication: 2026 Feb 09. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Applied Science Country of Publication: England NLM ID: 9889523 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2976 (Electronic) Linking ISSN: 09608524 NLM ISO Abbreviation: Bioresour Technol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1873-2976 |
|---|---|
| DOI: | 10.1016/j.biortech.2026.134182 |
