Method for Determining Regional Reference Values of Metal Content in Biological Substrates and Their Intake into the Body via Drinking Water
Bibliographic Data
| ID | 15513784 |
|---|---|
| Authors | Yu A Tunakova (0000-0002-8826-8639, Kazan State Technical University named after A. N. Tupolev, corresponding author), Yulia Tunakova (Department of General Chemistry and Ecology, Kazan National Research Technical University named after A. N. Tupolev (KNRTU–KAI), 420126 Kazan, Russia), А Р Шагидуллин (0000-0003-3837-6110, Tatarstan Academy of Sciences), Всеволод Сергеевич Валиев (0000-0002-8848-5326, Tatarstan Academy of Sciences), С В Новикова (0000-0001-8207-1010, Kazan State Technical University named after A. N. Tupolev), Rashat Faizullin (Kazan Federal University) |
| Year | 2021 |
| Volume | 18 |
| Issue | 18 |
| Pages | 9903-9903 |
| Publication date | 2021-09-20 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph18189903 |
| PMID | 34574826 |
| OpenAlex | W3199184923 |
| Language | EN |
| References cited | 24 |
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
Biogeochemical cycle · Environmental health · Reference values · Statistics · Water body · Chemistry · Environmental Science · Human Health and Disease · Mathematics · Medicine · Environmental Chemistry · Environmental Engineering
| Citation velocity | historical |
|---|---|
| Highly cited | No |