Hygienic substantiation of calculating models for predicting toxicity of different classes insecticides (first part).

Authors

DOI:

https://doi.org/10.26641/2307-0404.2019.3.181892

Keywords:

insecticide, toxicology, calculation models, regression equations

Abstract

This work is the first part of our study to develop alternative experimental mathematic models for predicting toxicity of insecticides. In the first stage, calculations will be carried out and the most reliable models will be proposed. In the second – a statistical analysis and comparative estimation of the toxicometric parameters obtained experimentally and calculated according to the proposed equations. The purpose of the research is the scientific substantiation of the calculation models for predicting toxicity of insecticides of different classes. Data on the physico-chemical properties and toxicometry parameters of fungicides are taken from the PPDB pesticides database. Insecticides of such chemical classes as derivatives of tetram and tetronic acids, benzoylureas, carbamates, neonicotinoids, pyrethroids, organophosphorus compounds, avermectins were selected for analysis. It has been established that there is a significant positive correlation between NO(A)EL in the chronic experiment of all insecticides, the median lethal doses at oral administration (LD50 per os) of pyrithoids and neonicotinoids, and the molecular weight (at p<0.05). There is a significant negative correlation between the toxicometry parameters of all insecticides and their individual groups (pyrithoids, neonicotinoids, organophosphorus compounds) and melting temperature and the octanol-water partition coefficient, log Po/w (at p<0.05). It is proved that the proposed calculation models for predicting insecticide hazards are adequate according to Fisher's criterion, and the coefficients of regression equations are reliable according to Student's criterion (p<0,05).

Author Biographies

A. M. Antonenko

Bogomolets National Medical University
Hygiene and ecology department N 1 1

O. P. Vavrinevych

Bogomolets National Medical University
Hygiene and ecology department N 1 1

S. T. Omelchuk

Hygiene and ecology institute 2
Peremohy av., 34, Kyiv, 03057, Ukraine

B. I. Shpak

«Syngenta» LCC 3
Kozatska str., 120/4, Kyiv, 02000, Ukraine

References

Batyan AN, Frumin GT, Bazylev VN. [Basics of General and Environmental Toxicology]. S-Pb. SpetsLit. 2009;352. Russian.

Yermolova LV, Prodanchuk MG, Leposhkin IV. [Development of calculation models for forecasting the risk of neonicotinoid insecticides]. Sovremennye prob­lemy toksikologii. 2007;1:27-29. Ukrainian.

[General toxicology]. Edited BA Kurlyandskiy, VA Filova. Мoskva. Meditsina. 2003;608. Russian.

[List of pesticides and agrochemicals authorized for use in Ukraine. Official edition]. Kyiv, Yunivest Media. 2018;1036. Ukrainian.

Anton C. Modeling and simulation for toxicity assessment. Math Biosci Eng. 2017;14(3):581-606. doi: https://doi.org/10.3934/mbe.2017034

Stavnichenko РV, Novohatska LO, Antonen­ko AM, et al. Assessment of ecotoxicological hazard and risk of groundwater contamination with different groups of pesticides. Medicni perspektivi. 2017;XХII(2):119-25. doi: https://doi.org/10.26641/2307-0404.2017.2.109845

Novohatska OO, Stavnichenko PV, Kondra­tiuk MV, et al. Comparative hygienic evaluation of behavior of different pesticides groups in soil, prediction of risk of ground water contamination and its danger for human health in areas with irrigation farming. Rawal Medical Journal. 2018;43(1):129-36.

EU – Pesticides database: Maximum Residue Levels. [cited 2019.06.20] Available from: http://ec.europa.eu/food/plant/pesticides/max_residue_levels/index_en.htm

Knudsen TB, Keller DA, Sander M, et al. Futu­reTox II: in vitro data and in silico models for predictive toxicology. Toxicological Sci. 2015;143(2):256-67. doi: https://doi.org/10.1093/toxsci/kfu234

Antonenko AM, Vavrinevych OP, Korshun MM, et al. Hygienic substantiation of calculation models for toxicity prognosis of different herbicides classes. Sbornik nauchnykh trudov «Zdorove i okruzhayushchaya sreda». 2018;28:168-75.

Norto Á, Sathis1 J, Webb S, et al. Mathematical Modelling of Chronic Drug Infusion for Toxicity Asses­sment. UK Mathematics-in-Medicine NC3Rs Study Group. 2013;25.

PPDB: Pesticides property database. [cited 2019.06.20]. Available from: http://www.rupest.ru/ppdb

Pradhan A, Markande SK, Kurre RK. Evaluation of impact of pesticides on the basis of their physico-chemical properties. Journal of Industrial Pollution Control. 2014;30(2):223-6.

Raies AB, Bajic VB. In silico toxicology: compu­tational methods for the prediction of chemical toxicity. Wiley interdisciplinary reviews. Computational molecular science. href="https://www.ncbi.nlm.nih.gov/pubmed/27066112">Wiley Interdiscip Rev. Comput. Mol. Sci. 2016;6(2):147-72. doi: https://doi.org/10.1002/wcms.1240

Vavrinevych OP, Antonenko AM, Korshun MM, Omelchuk ST. Hygienic substantiation of calculating models for fungicides of different classes toxicity depend on their physical and chemical properties prognosis. Environment and health. 2017;4(84):52-57. doi: https://doi.org/10.21303/2585-663.2017.00441

Downloads

How to Cite

1.
Antonenko AM, Vavrinevych OP, Omelchuk ST, Shpak BI. Hygienic substantiation of calculating models for predicting toxicity of different classes insecticides (first part). Med. perspekt. [Internet]. 2019Nov.5 [cited 2024May4];24(3):106-12. Available from: https://journals.uran.ua/index.php/2307-0404/article/view/181892

Issue

Section

PREVENTIVE MEDICINE