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Unraveling structure-Toxicity relationships of PFAS: Insights from quantum chemical descriptors and QSAR models.

PubMed
Authors: Cheng Z, Zhou J, Peng X, Xue D, Shen Z, Chen Q, Hu X

Year

2026

Paper ID

18089

Status

Peer-reviewed

Abstract Read

~2 min

Abstract Words

155

Citations

4

Abstract

Assessing the ecotoxicity of per- and polyfluoroalkyl substances (PFAS) is essential for understanding their environmental behavior and potential risks. However, systematic evaluations linking PFAS toxicity to molecular-level characteristics remain limited. Here, quantitative structure-activity relationship (QSAR) models were developed to elucidate the relationships between acute and chronic toxicity thresholds for fish, Daphnid, and green algae across 26 PFAS and their quantum chemical descriptors. The ECOSAR-based results demonstrated that both acute and chronic toxicity toward the three aquatic species increased with the number of -CF- moieties, indicating a structure-dependent toxicity trend. The developed QSAR models exhibited excellent stability, robustness, and predictive performance (R > 0.9, q > 0.9, and Q > 0.9). Moreover, the number of -CF- moieties and the Fukui index with respect to electrophilic attack [f(-)] were identified as intrinsic factors governing PFAS toxicity. Overall, this work provides molecular-level insight into the structural determinants of PFAS toxicity and establishes a reliable theoretical framework for predicting the toxicological behavior of emerging PFAS.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2026 reference point for readers tracking recent quantum research.
  • Assessing the ecotoxicity of per- and polyfluoroalkyl substances (PFAS) is essential for understanding their environmental behavior and potential risks.

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