Machine learning-assisted optimization of food-grade spirulina cultivation in seawater-based media: From laboratory to large-scale production-Reference-Cited by-同舟云学术

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Machine learning-assisted optimization of food-grade spirulina cultivation in seawater-based media: From laboratory to large-scale production

Published:2024-10 Issue: Volume:369 Page:122279
ISSN:0301-4797
Container-title:Journal of Environmental Management
language:en
Short-container-title:Journal of Environmental Management

Author:

Li Huankai^ORCID,Guo Lei,Chen Leijian^ORCID,Zhang Feng,Wang Wei,Lam Thomas Ka-Yam^ORCID,Xia Yongjun,Cai Zongwei

Publisher

Elsevier BV

Reference50 articles.

1. Bituminous coal and sodium hydroxide-pretreated seawater stimulates Spirulina (Arthrospira) maxima growth with decreased production costs;Affan;Aquaculture,2015

2. Effect of alkaline pH and nitrogen starvation on the triacylglycerol (TAG) content, growth, biochemical composition, and fatty acid profile of Auxenochlorella protothecoides KP7;Andeden;J. Appl. Phycol.,2021

3. Study on the medium effect for the growth rate of Spirulina;Aung,2020

4. Arthrospira platensis biomass with high protein content cultivated in continuous process using urea as nitrogen source;Avila‐Leon;J. Appl. Microbiol.,2012

5. Innovative application of brackish groundwater without the addition of nutrients in the cultivation of Spirulina and Chlorella for carbohydrate and lipid production;Bezerra;Bioresour. Technol.,2022

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