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February 16, 2026ChemBioEng Reviews0 citations

Acidic Ionic Liquids for Catalytic Transesterification and Esterification in Biodiesel Production

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YLYifan LiSLShanshan LiTZTianxiang Zhang

Key Points

  • This review aims to systematically examine acidic ionic liquids for biodiesel production through transesterification and esterification.
  • Review of homogeneous and heterogeneous acidic ionic liquid catalytic systems.
  • Analysis of various AILs including Lewis, Brønsted, and Brønsted–Lewis.
  • Discussion on synthesis, acidity regulation, and catalytic mechanisms in AILs.
  • Review of AILs functionalized on supports like silica materials and magnetic nanomaterials.
  • Incorporation of hierarchical pore design and machine learning optimization strategies.
  • Acidic ionic liquids show effectiveness in transesterification of triglycerides and esterification of free fatty acids.
  • Various immobilization strategies enhance structural stability and recyclability of AILs.
  • Emerging approaches offer improvements over conventional catalyst analysis.

Abstract

ABSTRACT Acidic ionic liquids (AILs) are especially suitable for processing acidic oil feedstocks, as they exhibit tolerance toward free fatty acids (FFAs) and water and are capable of catalyzing both transesterification of triglycerides and esterification of FFAs in biodiesel production. This review systematically examines both homogeneous and heterogeneous AIL catalytic systems. For homogeneous systems, we analyze Lewis AILs, Brønsted AILs, and Brønsted–Lewis AILs, discussing their synthesis routes, acidity regulation strategies, and catalytic mechanisms. In heterogeneous systems, we comprehensively review AILs functionalized on various supports, including silica materials, magnetic nanomaterials, polymeric frameworks, and metal–organic frameworks (MOFs), with particular focus on their immobilization strategies, structural stability, and enhanced recyclability. Furthermore, we extend to incorporate emerging approaches beyond conventional catalyst analysis such as hierarchical pore design, energy‐assisted intensification, and machine learning (ML) optimization. Finally, the main challenges of AILs currently faced in the field of biodiesel production are also put forward.

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Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/6992652ceb1f82dc367a1128https://doi.org/10.1002/cben.70045
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