Method for Determining Regional Reference Values of Metal Content in Biological Substrates and Their Intake into the Body via Drinking Water
Natural and manmade flows of matter form complex metal associations in the body of residents living in certain territories, which leads to functional disorders in their bodies and the depletion of adaptive reserves. It is possible to assess the distribution of metals in the body only taking into acc...
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doaj-c2c490df387b4178a51481bca2be94de2021-09-26T00:21:10ZengMDPI AGInternational Journal of Environmental Research and Public Health1661-78271660-46012021-09-01189903990310.3390/ijerph18189903Method for Determining Regional Reference Values of Metal Content in Biological Substrates and Their Intake into the Body via Drinking WaterYulia Tunakova0Artur Shagidullin1Vsevolod Valiev2Svetlana Novikova3Rashat Faizullin4Department of General Chemistry and Ecology, Kazan National Research Technical University named after A. N. Tupolev (KNRTU–KAI), 420126 Kazan, RussiaResearch Institute for Problems of Ecology and Mineral Wealth Use of Tatarstan Academy of Sciences, 420087 Kazan, RussiaResearch Institute for Problems of Ecology and Mineral Wealth Use of Tatarstan Academy of Sciences, 420087 Kazan, RussiaDepartment of General Chemistry and Ecology, Kazan National Research Technical University named after A. N. Tupolev (KNRTU–KAI), 420126 Kazan, RussiaInstitute of Fundamental Medicine and Biology, Kazan Federal University, 420012 Kazan, RussiaNatural and manmade flows of matter form complex metal associations in the body of residents living in certain territories, which leads to functional disorders in their bodies and the depletion of adaptive reserves. It is possible to assess the distribution of metals in the body only taking into account its biogeochemical localization. The question arises about the methodological approach to the determination of regional reference values of the concentrations of metals in biosubstrates of residents of different territories, to which this study was devoted. A designed and trained neural network was used, reflecting the relationship between the concentrations of metals in consumed drinking water and biosubstrates of the body, taking into account the physiological characteristics of the tested group of children and adolescents, based on the regional reference values obtained. Neural network regression methods allowed the calculation of nonlinear dependences of indicators of the state of the internal environment of an organism with external factors, and localized reference values determined in such calculations the indicators of the base state, being guided by the intensity of external factors, which should be assessed. The results of this study are intended for patient-oriented diagnosis and the treatment of eco-conditioned microelementosis in individual locations.https://www.mdpi.com/1660-4601/18/18/9903metalsdrinking waterbiosubstratesreference valuesneural network technologiesintake into the body |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yulia Tunakova Artur Shagidullin Vsevolod Valiev Svetlana Novikova Rashat Faizullin |
spellingShingle |
Yulia Tunakova Artur Shagidullin Vsevolod Valiev Svetlana Novikova Rashat Faizullin Method for Determining Regional Reference Values of Metal Content in Biological Substrates and Their Intake into the Body via Drinking Water International Journal of Environmental Research and Public Health metals drinking water biosubstrates reference values neural network technologies intake into the body |
author_facet |
Yulia Tunakova Artur Shagidullin Vsevolod Valiev Svetlana Novikova Rashat Faizullin |
author_sort |
Yulia Tunakova |
title |
Method for Determining Regional Reference Values of Metal Content in Biological Substrates and Their Intake into the Body via Drinking Water |
title_short |
Method for Determining Regional Reference Values of Metal Content in Biological Substrates and Their Intake into the Body via Drinking Water |
title_full |
Method for Determining Regional Reference Values of Metal Content in Biological Substrates and Their Intake into the Body via Drinking Water |
title_fullStr |
Method for Determining Regional Reference Values of Metal Content in Biological Substrates and Their Intake into the Body via Drinking Water |
title_full_unstemmed |
Method for Determining Regional Reference Values of Metal Content in Biological Substrates and Their Intake into the Body via Drinking Water |
title_sort |
method for determining regional reference values of metal content in biological substrates and their intake into the body via drinking water |
publisher |
MDPI AG |
series |
International Journal of Environmental Research and Public Health |
issn |
1661-7827 1660-4601 |
publishDate |
2021-09-01 |
description |
Natural and manmade flows of matter form complex metal associations in the body of residents living in certain territories, which leads to functional disorders in their bodies and the depletion of adaptive reserves. It is possible to assess the distribution of metals in the body only taking into account its biogeochemical localization. The question arises about the methodological approach to the determination of regional reference values of the concentrations of metals in biosubstrates of residents of different territories, to which this study was devoted. A designed and trained neural network was used, reflecting the relationship between the concentrations of metals in consumed drinking water and biosubstrates of the body, taking into account the physiological characteristics of the tested group of children and adolescents, based on the regional reference values obtained. Neural network regression methods allowed the calculation of nonlinear dependences of indicators of the state of the internal environment of an organism with external factors, and localized reference values determined in such calculations the indicators of the base state, being guided by the intensity of external factors, which should be assessed. The results of this study are intended for patient-oriented diagnosis and the treatment of eco-conditioned microelementosis in individual locations. |
topic |
metals drinking water biosubstrates reference values neural network technologies intake into the body |
url |
https://www.mdpi.com/1660-4601/18/18/9903 |
work_keys_str_mv |
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