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JOURNAL

ISSN 2077-7477 (Print)
ISSN 2077-7485 (Online)

A journal "Dovkillia ta zdorovia" (Environment & Health) publishes the articles on the problems in the field of medical ecology, hygiene, health protection and ecological safety.

Founder of the Journal:
State Institution "O.M. Marzeiev Institute for Hygiene and Medical Ecology of the National Academy of Medical Sciences of Ukraine"

Frequency of publication:
quarterly

Environment & HealthISSN: 2077-7477 eISSN: 2077-7485
No: 4 (84)   -   2017   -   Pages: 52-57
Hygienic substantiation of calculating models for fungicides of different classes toxicity depend on their physical and chemical properties prognosis
Vavrinevych O.P.1, Antonenko A.M.1, Korshun M.M.1, Omelchuk S.T.1
1 Hygiene and Ecology Institute of the O.O. Bogomolets National Medical University

: 613: 632.952:632.95.024:57.013

SUMMRY:
Background: Today the methods of mathematical modeling and the forecast of xenobiotics toxicity of fungicides and herbicides do not exist in Ukraine and many other countries, and there are no legal basis for the use of the conclusions and threshold values obtained by the European experts as well.

Objective: We performed a hygienic substantiation of calculation models for the fungicides of different toxicity classes depending on their physical-and- chemical properties.

Materials and methods: For the analysis we used the parameters of toxicometry and physical-and-chemical indices of the fungicides widely applied in the world agriculture. IBM SPSS StatisticsBase v.22 and MS Exel statistical program packages were used for the statistical processing of the results.
Results and discussion: The linear and non-linear regression equations, taking into account correlation dependences between the toxic properties of fungicides of the class of pyrazole-carboxamides and carboxamides, triazoles, imidazoles, carbamates and dithiocarbamates, methoxyacrylates and their physico-chemical properties, were developed. In the most cases the values, calculated by our formulas, correlates with experimentally established ones.

Conclusions: It was proved that the proposed calculation models for the forecast of the hazard of studied fungicides were adequate and statistically reliable ones. The developed algorithm simplifies substantially the performance of the toxicological experiments and accelerates the procedure of the registration of new fungicides of studied classes if there are data on physical- and- chemical properties of the studied compounds.

KEYWORDS:
Fungicides, toxicology, calculation models, regression equations
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