A novel approach for improving carbon fixation of Chlorella sp. by elements in converter steel slag using machine learning

This study investigates the biomass and carbon fixation rate of Chlorella sp. by the main valuable elements in converter steel slag in F/2 seawater medium. The results indicate that Ca, Mg, P, Si, Fe, and Mn can increase the biomass and carbon fixation rate of Chlorella sp., while Cu, Zn, Cr, and Al...

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Principais autores:	Tian-Ji Liu, Qing Yu, Yi-Tong Wang, Jun-Guo Li, Xiao-Man Wang, Le-Le Kang, Rui Ji, Fu-Ping Wang, Ya-Nan Zeng, Shuang Cai
Formato:	Artigo
Idioma:	Inglês
Publicado:	Elsevier 2024-11-01
Series:	Alexandria Engineering Journal
Assuntos:	Machine learning Converter steel slag Valuable elements Chlorella sp. Biological carbon fixation Prediction model
Acceso en liña:	http://www.sciencedirect.com/science/article/pii/S1110016824010111
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