Hygienic substantiation of calculating models for prognosis of toxicity of different classes insecticides (second part)





insecticide, toxicology, calculation models, regression equations


This work is the second part of our study to develop alternative experimental mathematic models for predecting toxicity of insecticides, where we carried out a statistical analysis and comparative estimation of the toxicometric parameters obtained experimentally and calculated according to the proposed equations. In the first stage calculations were carried out and the most reliable models were proposed. The purpose of the research is the scientific substantiation and statistical analysis of the calculation models for predicting the toxicity of insecticides of different classes. For research we took the insecticides of the following chemical classes: neonicotinoids, pyrethroids, organophosphorus compounds. Statistical analysis of the linear and nonlinear regression equations obtained for insecticides was conducted. The equations described the dependence of subthreshold doses in the chronic experiment of all insecticides, the median lethal doses at oral admission of pyrithoids and neonicotinoids from molecular weight; and toxicometry parameters of all insecticides and their individual groups (pyrithoids, neonicotinoids, organophosphorus compounds) on melting temperature and the octanol-water partition coefficient. On the basis of a comparison of the toxicometry parameters obtained experimentally (actual parameters) and calculated according to the proposed equations checking of possibility of using of the calculating models for predicting the danger of the investigated groups of insecticides was performed. For substantiated pairs of resultant and factorial variables for pyrethroids, neonicotinoids, and organophosphorus pesticides a reliable correlation was established (ractucal> rtable at p = 0.05) or trend (ractucal> rtable at p = 0.1). A good and very good consistency of the features selected for the calculations according to the Cronbach’s alpha (index ranged from 0.8 and above) was indicated. The developed algorithm makes it possible to significantly simplify the conduction of toxicological studies of the studied classes of insecticides


Yermolova LV, Prodanchuk MG, Lep`oshkin IV. [Development of calculation models for forecasting the risk of neonicotinoid insecticides]. Sovremennye prob­lemy toksikologii. 2007;1:27-29. Ukrainian. Available from: http://medved.kiev.ua/web_journals/arhiv/toxicology/2007/1_2007/str27.pdf.

Petri A, Sebin K. Naglyadnaya medicinskaya sta­tis­tika:uchebnoe posobie. [Visual Medical Statistics: A Training Manual]. editor V.P. Leonova. Moskva: GEOTAR-Media; 2015. p. 216. Russian.

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

Antonenko АМ, Vavrinevych OP. Forecasting of triazole, amide, piperedinyle thiazol isoxazoline, oxazole fungicides hazardous effect on human health in con­sumption of vegetables growed in their application. Technology transfer: innovative solutions in medicine: proceedings of 2nd Annual Conference. Tallinn. 2018;2-5. doi: https://doi.org/10.21303/2585-663.2018.00763

Antonenko AM, Vavrinevych OP, Omelchuk ST, Shpak BI Hygienic substantiation of calculating models for prognosis of toxicity of different classes insecticides (first part). Медичні перспективи. 2019;24(3):106-12. doi: https://doi.org/10.26641/2307-0404.2019.3.181892

EU – Pesticides database: Maximum Residue Levels. [cited 2020 June 03]. 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 Sciences. 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. http://rspch.by/Docs/v28_sbornik.pdf.

Raies AB, Bajic VB. In silico toxicology: compu­tational methods for the prediction of chemical toxicity. 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/10.32402/dovkil2017.04.052




How to Cite

Vavrinevych O, Shpak B, Antonenko A, Omelchuk S, Zinchenko T. Hygienic substantiation of calculating models for prognosis of toxicity of different classes insecticides (second part). Med. perspekt. [Internet]. 2020Dec.28 [cited 2022May17];25(4):166-73. Available from: http://journals.uran.ua/index.php/2307-0404/article/view/221663




Most read articles by the same author(s)