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Liquid amine-based CO2 capture: A review of absorbent systems innovation, multi-scenario applications, and machine learning-assisted optimization

Author

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  • Chang, Jingwen
  • Chen, Kailun
  • Li, Jinglin
  • Lin, Li
  • Hu, Endian
  • Liu, Ke
  • Jiang, Jianguo

Abstract

Liquid amine-based CO2 capture has the advantage of high absorbing capacity and rate, ideal reusability, and low cost, making it one of the most widely investigated and applied carbon capture technologies all over the world. In this review, the absorbent systems, as the fundament of liquid-amine based CO2 capture, were summarized and divided into three categories by their components, namely amine-water, ionic liquid-based, and water-lean/nonaqueous systems. Furthermore, application scenarios based on different absorbent systems as well as techno-economic analysis (TEA) and life cycle assessment (LCA) were discussed. Based on the understanding of absorbent systems and application scenarios, studies of machine learning (ML)-assisted optimization in liquid amine-based CO2 capture were elucidated from molecular and process levels. To uncover the full potential of liquid amine-based CO2 capture technology, current challenges and further perspectives were proposed. This review aims to help researchers gain a deep understanding of liquid amine-based CO2 capture technology and further promoting more proper absorbent systems for practical usage.

Suggested Citation

  • Chang, Jingwen & Chen, Kailun & Li, Jinglin & Lin, Li & Hu, Endian & Liu, Ke & Jiang, Jianguo, 2026. "Liquid amine-based CO2 capture: A review of absorbent systems innovation, multi-scenario applications, and machine learning-assisted optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 231(C).
    • Handle: RePEc:eee:rensus:v:231:y:2026:i:c:s1364032126000535
    DOI: 10.1016/j.rser.2026.116754
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