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Published on: June 13, 2022
Identification of reactive toxicants: structure-activity relationships for amides
T W Schultz1, J W Yarbrough, S K Koss
1Department of Comparative Medicine, College of Veterinary Medicine, University of Tennessee, 2407 River Drive, Knoxville, TN 37996-4543, USA. tschultz@utk.edu
This study evaluated amide toxicity and reactivity. A model predicted toxicity for many amides, but some highly reactive amides showed greater aquatic toxicity than predicted.
Area of Science:
- Environmental toxicology
- Chemical reactivity
Background:
- Amides are widely used, necessitating an understanding of their environmental impact.
- Predicting aquatic toxicity and chemical reactivity is crucial for risk assessment.
Purpose of the Study:
- To evaluate the aquatic toxicity (IGC50) of various amides using Tetrahymena pyriformis.
- To assess the reactivity of amides with a model thiol nucleophile (glutathione).
- To develop and validate a predictive model for amide toxicity based on hydrophobicity and electrophilicity.
Main Methods:
- Aquatic toxicity assessed via Tetrahymena pyriformis population growth impairment assay.
- Reactivity determined by EC50 with glutathione's thiol group.
- Quantitative Structure-Activity Relationship (QSAR) model developed using hydrophobicity (log Kow) and electrophilicity (E_lumo).
Main Results:
- A hydrophobicity-electrophilicity model accurately predicted toxicity for alkylamides and some halo-substituted amides.
- 2-halo amides and α,β-unsaturated primary amides exhibited higher toxicity than predicted.
- Excess toxicity correlated with the ability to form covalent bonds via SN2 displacement or Michael addition.
- Only amides with excess toxicity were reactive with the thiol nucleophile.
Conclusions:
- The hydrophobicity-electrophilicity model is effective for many amides but requires refinement for specific reactive structures.
- Reactivity with thiol nucleophiles can identify amides with unexpectedly high aquatic toxicity.
- Understanding structure-toxicity relationships is key to predicting and mitigating environmental risks of amides.
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