{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,24]],"date-time":"2026-10-24T01:34:37Z","timestamp":1792805677760,"version":"4.5.0"},"reference-count":71,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T00:00:00Z","timestamp":1745539200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Financial Program of BJAST","award":["25CB011-01"],"award-info":[{"award-number":["25CB011-01"]}]},{"name":"Financial Program of BJAST","award":["25CB011-02"],"award-info":[{"award-number":["25CB011-02"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Marine Drugs"],"abstract":"<jats:p>Microalgae offer significant potential in diverse fields, including biofuels, carbon capture, and high-value bioproducts. However, optimizing and scaling microalgae cultivation systems present several challenges due to the dynamic interactions among environmental factors such as light intensity, temperature, pH, nutrient concentration, and CO2 levels, as well as species-specific biological variability. Recent advancements in artificial intelligence (AI), particularly machine learning (ML) and automation, have provided innovative solutions to these challenges. This review explored the role of AI in enhancing microalgae technology, focusing on optimizing cultivation conditions, improving CO2 capture, maximizing biomass production, and automating system processes. Key case studies highlight successful applications of AI in biofuel production, carbon capture projects, and high-value compound manufacturing. Key case studies demonstrate that AI-driven models can increase biomass productivity by up to 15\u201357%, improve CO2 biofixation efficiency, and enhance lipid and high-value compound yields by more than 20\u201343% compared to traditional methods. Additionally, we discussed the limitations of current AI models, particularly in data availability and species-specific variability, and suggested future research directions to enhance the integration of AI and microalgae systems. By leveraging AI\u2019s potential, microalgae technologies can become more efficient, scalable, and economically viable, addressing global sustainability challenges such as energy production and climate change mitigation.<\/jats:p>","DOI":"10.3390\/md23050184","type":"journal-article","created":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T10:42:09Z","timestamp":1745577729000},"page":"184","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":58,"title":["Harnessing Artificial Intelligence to Revolutionize Microalgae Biotechnology: Unlocking Sustainable Solutions for High-Value Compounds and Carbon Neutrality"],"prefix":"10.3390","volume":"23","author":[{"given":"Yijian","family":"Wu","sequence":"first","affiliation":[{"name":"Department of Fundamental Courses, Lianyungang Technical College, Lianyungang 222000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Shan","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Lianyungang Technical College, Lianyungang 222000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weixuan","family":"Zhao","sequence":"additional","affiliation":[{"name":"Institute of New Materials and Advanced Manufacturing, Beijing Academy of Science and Technology, Beijing 100089, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xue","family":"Lu","sequence":"additional","affiliation":[{"name":"Institute of New Materials and Advanced Manufacturing, Beijing Academy of Science and Technology, Beijing 100089, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,4,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"104278","DOI":"10.1016\/j.tifs.2023.104278","article-title":"Microalgal protein for sustainable and nutritious foods: A joint analysis of environmental impacts, health benefits and consumer\u2019s acceptance","volume":"143","author":"Yang","year":"2024","journal-title":"Trends Food Sci. 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