Comparing qsar models of ionic liquid toxicity for different microorganisms to design environmentally friendly ionic liquids and elucidate mechanisms of toxicity

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Authors: Fj. Hernández-Fernández, Jesús Hernández-Fernández, L.J. Lozano, Eduardo Iniesta-López, A. Hernández-Fernández, Joaquín Quesada-Medina, Victoria Caballero, A.P de los Ríos
Cited by: 1
References: 77

Abstract

The increasing interest in ionic liquids (ILs) as alternative solvents for biocatalytic and industrial applications is limited by concerns regarding their potential toxicity. In this study, we compiled one of the most comprehensive ecotoxicity datasets to date for Vibrio fischeri, Daphnia magna, and Pseudokirchneriella subcapitata. Using Partial Least Squares (PLS)-based Quantitative Structure–Activity Relationship (QSAR) models, we established predictive correlations between IL structural features and ecotoxicity. The models demonstrated high robustness and predictive power, enabling identification of key molecular descriptors driving toxicity. Results consistently indicate that longer alkyl side chains in cations, higher hydrophobicity, and aromatic ring structures are associated with increased toxicity, whereas the incorporation of heteroatoms (O, OH, CN) or non-aromatic rings reduces toxicity. Anions generally exert a lower influence compared to cations, although certain highly fluorinated species substantially increase toxicity. The comparative analysis across microorganisms highlights both shared and species-specific structural determinants. These findings provide valuable insights into IL toxicity mechanisms, particularly the role of membrane accumulation and disruption, and establish design rules for the development of safer, environmentally benign ionic liquids suitable for green chemistry and biotechnological processes. • Comprehensive ecotoxicity dataset of ionic liquids for three aquatic species: Vibrio fischeri, Daphnia magna and Pseudokirchneriella subcapitata. • A database of 344 records for V. fischeri was compiled from 65 articles, 107 records for D. magna from 40 articles, and 92 records for P. subcapitata from 25 articles. • Robust PLS-QSAR models predict IL toxicity with high accuracy and validation • Longer alkyl chains and aromatic cations increase toxicity across organisms • Introduction of O, OH, or CN groups significantly reduces ionic liquid toxicity • Comparative analysis reveals common and species-specific toxicity determinants

Fields of Study & Subjects

Ionic liquids properties and applications Computational Drug Discovery Methods Microbial Metabolic Engineering and Bioproduction

Publication details

Journal / source
Environmental Toxicology and Pharmacology
Publisher
Elsevier BV
Volume
122
Pages
104950–104950
Publication date
28 January 2026
Language
EN