Machine learning-informed and synthetic biology-enabled semi-continuous algal cultivation to unleash renewable fuel productivity

Algal biofuel is regarded as one of the ultimate solutions for renewable energy, but its commercialization is hindered by growth limitations caused by mutual shading and high harvest costs. We overcome these challenges by advancing machine learning to inform the design of a semi-continuous algal cul...

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Detalles Bibliográficos
Autores principales: Long, Bin, Fischer, Bart, Zeng, Yining, Amerigian, Zoe, Li, Qiang, Bryant, Henry, Li, Man, Dai, Susie Y., Yuan, Joshua S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795378/
https://www.ncbi.nlm.nih.gov/pubmed/35087023
http://dx.doi.org/10.1038/s41467-021-27665-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795378/
https://www.ncbi.nlm.nih.gov/pubmed/35087023
http://dx.doi.org/10.1038/s41467-021-27665-y

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