Toxicometabolomics — integration of preventive and analytical toxicology

Introduction. This paper considers aspects of the development of a toxicokinetically based model for scaling the limit concentrations of toxic compounds in the air, estimating the coefficients of their material cumulation, as well as estimating the concentrations of toxicants in biological media expected in the course of biological control. The results of testing the model on the example of organophosphorus pesticides (OP) and volatile industrial pollutants (VIP) are presented.

Material and methods. For experimental modeling of intoxication, male chinchilla rabbits obtained from the Rappolovo nursery were used. Blood sampling was carried out from the marginal vein of the ear. For the highly sensitive determination of OP and VIP in biological samples, previously developed highly sensitive gas chromatographic techniques were used. Calculation of toxicokinetic parameters was made using a two-compartment model.

Results. A toxicokinetically based model for scaling the limit concentrations of toxic compounds in the air, estimating the coefficients of their material cumulation, and estimating the concentrations of toxicants in biological media expected in the course of biological control is proposed.

Research limitations. The proposed algorithm for scaling toxicokinetic parameters can be applied under the condition that the bioavailability of chemical compounds for the animal and human body is close, as well as the area under the toxicokinetic curve that is close to a linear dependence on the dose.

Conclusion. Using the proposed toxicokinetically substantiated model for scaling the threshold concentrations, recommendations were made on chemical-analytical methods of biological control in the working area and atmospheric air for OP and VIP.

Compliance with ethical standards. Studies were carried out in accordance with the requirements of good laboratory practice.

Author contributions:
Radilov A.S. — the concept and design of the study, analysis of results;
Ukolov A.I. — study planning, sample preparation, study execution and data processing.
All co-authors — approval of the final version of the article, responsibility for the integrity of all parts of the article.

Acknowledgements. The authors are grateful to S.A. Dulov for many valuable comments that contributed to the quality of the publication. 

Conflict of interests. the authors declare no conflict of interests.

Funding. The study was not sponsored.

Received: September 08, 2022 / Accepted: September 22, 2022 / Published: October 30, 2022