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<title>SAM</title>
<link>https://sam.ensam.eu:443</link>
<description>The DSpace digital repository system captures, stores, indexes, preserves, and distributes digital research material.</description>
<pubDate xmlns="http://apache.org/cocoon/i18n/2.1">Sun, 08 Mar 2026 10:32:52 GMT</pubDate>
<dc:date>2026-03-08T10:32:52Z</dc:date>
<item>
<title>THE INNOVATION OF THE HUMAN EXPOSURE FACTOR ESTIMATION FOR LCA</title>
<link>http://hdl.handle.net/10985/14016</link>
<description>THE INNOVATION OF THE HUMAN EXPOSURE FACTOR ESTIMATION FOR LCA
BELYANOVSKAYA, Alexandra; BARANOVSKAYA, Natalia; PERRY, Nicolas; LARATTE, Bertrand
The human health risk assessment is one the most important problem of modern ecology. The USEtox model is an instrument to characterize the human health risks in the LCIA method. In the USEtox the exposure factor (XF) is used to assess the contact between the person and the environment considering the receipt of the foodstuffs (e.g. pork). Despite all advantages of USEtox, there are some uncertainties in calculations of XF. In the study of the chemicals entry into the human body with food and water, the regional aspect is considered only for the place where the conditionally “contaminated” products are derived, but the residence place of a population is not considered. However, air and water transfer pollutants (heavy metal – Сhromium) to zones that do not have industrial facilities.  As an example of estimation of the health impact of the residents near the nuclear fuel cycle industry, the XF was calculated using the concentration of Cr in pork meat. For the study, samples of Sus scrofa domestica organs (totally 60 samples) were taken in the territory of two settlements, impacted and cleaned. Both areas are not located directly in the industrial hub, but the impacted area is under the anthropogenic influence with air and water transfer of pollution.  The results of XF estimation show that population of the impacted area consumes more Cr with pork meat even if this area is not directly located in the industrial hub. The XF for both areas is much higher than USEtox default values, calculated for population of whole Central Asia. We purpose a spatial aspect as a new characterization factor for the impact assessment. The population of one region can consume a different amount of pollutant depending on the location of settlement they live.
</description>
<pubDate>Mon, 01 Jan 2018 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://hdl.handle.net/10985/14016</guid>
<dc:date>2018-01-01T00:00:00Z</dc:date>
<dc:creator>BELYANOVSKAYA, Alexandra</dc:creator>
<dc:creator>BARANOVSKAYA, Natalia</dc:creator>
<dc:creator>PERRY, Nicolas</dc:creator>
<dc:creator>LARATTE, Bertrand</dc:creator>
<dc:description>The human health risk assessment is one the most important problem of modern ecology. The USEtox model is an instrument to characterize the human health risks in the LCIA method. In the USEtox the exposure factor (XF) is used to assess the contact between the person and the environment considering the receipt of the foodstuffs (e.g. pork). Despite all advantages of USEtox, there are some uncertainties in calculations of XF. In the study of the chemicals entry into the human body with food and water, the regional aspect is considered only for the place where the conditionally “contaminated” products are derived, but the residence place of a population is not considered. However, air and water transfer pollutants (heavy metal – Сhromium) to zones that do not have industrial facilities.  As an example of estimation of the health impact of the residents near the nuclear fuel cycle industry, the XF was calculated using the concentration of Cr in pork meat. For the study, samples of Sus scrofa domestica organs (totally 60 samples) were taken in the territory of two settlements, impacted and cleaned. Both areas are not located directly in the industrial hub, but the impacted area is under the anthropogenic influence with air and water transfer of pollution.  The results of XF estimation show that population of the impacted area consumes more Cr with pork meat even if this area is not directly located in the industrial hub. The XF for both areas is much higher than USEtox default values, calculated for population of whole Central Asia. We purpose a spatial aspect as a new characterization factor for the impact assessment. The population of one region can consume a different amount of pollutant depending on the location of settlement they live.</dc:description>
</item>
<item>
<title>Improvement of calculations of the total characterization factor in the Usetox Model including a regional approach</title>
<link>http://hdl.handle.net/10985/17026</link>
<description>Improvement of calculations of the total characterization factor in the Usetox Model including a regional approach
BELYANOVSKAYA, Alexandra; BARANOVSKAYA, Natalia; PERRY, Nicolas; LARATTE, Bertrand
The USEtox model as one of LCIA models is an instrument to characterize the human toxicity impact. The model measures the intake of metals by population with meat products. The USEtox is the only model including geographical separation and wide database with organic and nonorganic chemicals. However, the USEtox does not provide any regional information, as ecological or geological specifications of areas included into the model. There is also a lack of data about metals concentrations in the database. Current investigation proposes an approach to reduce these limitations using results of bioindication studying– chemical composition of pork meat samples. Results of bioindication express assessing and forecasting changes in biotas under the anthropogenic influence locally in 3 settlements of “Central Asia” district. We extrapolate them into the USEtox model database, to extend it with concentrations of heavy metals Cr, Zn and As in the meat of pork. Characterization factor is proposed to assess their potential toxicity in soil and air in the region “Central Asia”.
</description>
<pubDate>Tue, 01 Jan 2019 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://hdl.handle.net/10985/17026</guid>
<dc:date>2019-01-01T00:00:00Z</dc:date>
<dc:creator>BELYANOVSKAYA, Alexandra</dc:creator>
<dc:creator>BARANOVSKAYA, Natalia</dc:creator>
<dc:creator>PERRY, Nicolas</dc:creator>
<dc:creator>LARATTE, Bertrand</dc:creator>
<dc:description>The USEtox model as one of LCIA models is an instrument to characterize the human toxicity impact. The model measures the intake of metals by population with meat products. The USEtox is the only model including geographical separation and wide database with organic and nonorganic chemicals. However, the USEtox does not provide any regional information, as ecological or geological specifications of areas included into the model. There is also a lack of data about metals concentrations in the database. Current investigation proposes an approach to reduce these limitations using results of bioindication studying– chemical composition of pork meat samples. Results of bioindication express assessing and forecasting changes in biotas under the anthropogenic influence locally in 3 settlements of “Central Asia” district. We extrapolate them into the USEtox model database, to extend it with concentrations of heavy metals Cr, Zn and As in the meat of pork. Characterization factor is proposed to assess their potential toxicity in soil and air in the region “Central Asia”.</dc:description>
</item>
<item>
<title>Assessment of microelement ecotoxicity in fen for ecological state monitoring</title>
<link>http://hdl.handle.net/10985/24810</link>
<description>Assessment of microelement ecotoxicity in fen for ecological state monitoring
BELYANOVSKAYA, Alexandra; SOLDATOVA, E.A.; KOLOTYGINA, V.N.; LARATTE, Bertrand; KOROGOD, N.P.
Wetlands, including bogs, fens, and swamps, play a crucial role in maintaining ecological balance by absorbing pollutants. They also conserve biodiversity and serve as breeding and migration sites for living organisms whose treated by pollutants entering to the wetland ecosystems. Pollutants entering wetland ecosystems can have detrimental effects on these important functions. The article introduces the method of toxicity assessment of microelements used in the environmental condition monitoring of the Ob River’s floodplain fen (Tomsk Oblast, Russia). The impact of freshwater species (PAF m3day/kgemitted) is evaluated by calculating the Life Cycle Assessment Impact score for Be, V, Cr, Mn, Fe, Cu, Zn, As, Sr, Mo, Pb, Cd, Sb, Ba, and Tl at distances of 40, 100, and 160 m from the wastewater discharge site. The study considers the elemental composition and total volume of water from various areas within the research site for assessing freshwater ecotoxicity. 12 out of 15 investigated trace elements have the greatest impact on the freshwater system in the zone of 160 m from the site of anthropogenic impact on the water body. The sampling areas can be ranked based on their ΣIS value, with IS160 = 1.3E+11, followed by IS100 = 7.5E+10, and IS40 = 1.5E+10 [PAF m3day/kgemitted].
</description>
<pubDate>Fri, 01 Mar 2024 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://hdl.handle.net/10985/24810</guid>
<dc:date>2024-03-01T00:00:00Z</dc:date>
<dc:creator>BELYANOVSKAYA, Alexandra</dc:creator>
<dc:creator>SOLDATOVA, E.A.</dc:creator>
<dc:creator>KOLOTYGINA, V.N.</dc:creator>
<dc:creator>LARATTE, Bertrand</dc:creator>
<dc:creator>KOROGOD, N.P.</dc:creator>
<dc:description>Wetlands, including bogs, fens, and swamps, play a crucial role in maintaining ecological balance by absorbing pollutants. They also conserve biodiversity and serve as breeding and migration sites for living organisms whose treated by pollutants entering to the wetland ecosystems. Pollutants entering wetland ecosystems can have detrimental effects on these important functions. The article introduces the method of toxicity assessment of microelements used in the environmental condition monitoring of the Ob River’s floodplain fen (Tomsk Oblast, Russia). The impact of freshwater species (PAF m3day/kgemitted) is evaluated by calculating the Life Cycle Assessment Impact score for Be, V, Cr, Mn, Fe, Cu, Zn, As, Sr, Mo, Pb, Cd, Sb, Ba, and Tl at distances of 40, 100, and 160 m from the wastewater discharge site. The study considers the elemental composition and total volume of water from various areas within the research site for assessing freshwater ecotoxicity. 12 out of 15 investigated trace elements have the greatest impact on the freshwater system in the zone of 160 m from the site of anthropogenic impact on the water body. The sampling areas can be ranked based on their ΣIS value, with IS160 = 1.3E+11, followed by IS100 = 7.5E+10, and IS40 = 1.5E+10 [PAF m3day/kgemitted].</dc:description>
</item>
<item>
<title>The Innovation of the characterisation factor estimation for LCA in the USETOX model</title>
<link>http://hdl.handle.net/10985/19119</link>
<description>The Innovation of the characterisation factor estimation for LCA in the USETOX model
BELYANOVSKAYA, Alexandra; LARATTE, Bertrand; RAJPUT, Vishnu; PERRY, Nicolas; BARANOVSKAYA, Natalia
Different Life Cycle Impact Assessment (LCIA) methods in the impact assessment may lead to disparate results. Those disagreements in LCIA results are mainly linked to differences in the characterization model on a spatial scale. Most models only provide information about large geographical areas, ignoring ecological aspects of regions that can vary in accordance with geological conditions and the industrial influence level. The current investigation proposes an approach to reduce the spatial limitation of impact modeling. Based on the results of analytical investigations carried out by the research group, and taken from the literature, the characterization factor (CF) is recalculated. Among existing LCIA models, the USEtox is taken as the model recommended by the European Union for human health impacts assessment. In the USEtox model calculation, the general bioaccumulation factor is replaced by the regionalized concentration coefficient to obtain the indirect human exposure factor. The modified characterization factor for 5 USEtox geo zones is calculated.
</description>
<pubDate>Wed, 01 Jan 2020 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://hdl.handle.net/10985/19119</guid>
<dc:date>2020-01-01T00:00:00Z</dc:date>
<dc:creator>BELYANOVSKAYA, Alexandra</dc:creator>
<dc:creator>LARATTE, Bertrand</dc:creator>
<dc:creator>RAJPUT, Vishnu</dc:creator>
<dc:creator>PERRY, Nicolas</dc:creator>
<dc:creator>BARANOVSKAYA, Natalia</dc:creator>
<dc:description>Different Life Cycle Impact Assessment (LCIA) methods in the impact assessment may lead to disparate results. Those disagreements in LCIA results are mainly linked to differences in the characterization model on a spatial scale. Most models only provide information about large geographical areas, ignoring ecological aspects of regions that can vary in accordance with geological conditions and the industrial influence level. The current investigation proposes an approach to reduce the spatial limitation of impact modeling. Based on the results of analytical investigations carried out by the research group, and taken from the literature, the characterization factor (CF) is recalculated. Among existing LCIA models, the USEtox is taken as the model recommended by the European Union for human health impacts assessment. In the USEtox model calculation, the general bioaccumulation factor is replaced by the regionalized concentration coefficient to obtain the indirect human exposure factor. The modified characterization factor for 5 USEtox geo zones is calculated.</dc:description>
</item>
<item>
<title>Influence of local geological data and geographical parameters to assess regional health impact in LCA. Tomsk oblast’, Russian Federation application case</title>
<link>http://hdl.handle.net/10985/22701</link>
<description>Influence of local geological data and geographical parameters to assess regional health impact in LCA. Tomsk oblast’, Russian Federation application case
BELYANOVSKAYA, Alexandra; SOKTOEV, Bulat; LARATTE, Bertrand; AGEEVA, Elena; BARANOVSKAYA, Natalia; KOROGOD, Natalia
The research paper is aimed to modify the human health impact assessment of Cr in soils. The current article presents the input of several critical parameters for the human health Impact Score ( IShum) assessment in soils. The modification of the IShum is derived using geological data — results of neutron activation analysis of soils are used in the IShum calculation; research area is divided using the watersheds and population size and density. Watersheds reflect the local environmental conditions of the territory unlike the administrative units (geographical areas of the studied region) due to their geological independence. The calculations of the characterization factor value underestimate the influence of the population size and density on the final result. Default characterization factor values cannot be considered during the assessment of the potential human health impact for the big sparsely inhabited areas. In case of very low population density, the result will be overrated and underestimated in the opposite case. The current approach demonstrates that the geographical separation in the USEtox model should be specified. The same approach can be utilized for other geo zones due to the accessibility of this information (area size, population size, and density, geological, and landscape features).
</description>
<pubDate>Fri, 01 Jul 2022 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://hdl.handle.net/10985/22701</guid>
<dc:date>2022-07-01T00:00:00Z</dc:date>
<dc:creator>BELYANOVSKAYA, Alexandra</dc:creator>
<dc:creator>SOKTOEV, Bulat</dc:creator>
<dc:creator>LARATTE, Bertrand</dc:creator>
<dc:creator>AGEEVA, Elena</dc:creator>
<dc:creator>BARANOVSKAYA, Natalia</dc:creator>
<dc:creator>KOROGOD, Natalia</dc:creator>
<dc:description>The research paper is aimed to modify the human health impact assessment of Cr in soils. The current article presents the input of several critical parameters for the human health Impact Score ( IShum) assessment in soils. The modification of the IShum is derived using geological data — results of neutron activation analysis of soils are used in the IShum calculation; research area is divided using the watersheds and population size and density. Watersheds reflect the local environmental conditions of the territory unlike the administrative units (geographical areas of the studied region) due to their geological independence. The calculations of the characterization factor value underestimate the influence of the population size and density on the final result. Default characterization factor values cannot be considered during the assessment of the potential human health impact for the big sparsely inhabited areas. In case of very low population density, the result will be overrated and underestimated in the opposite case. The current approach demonstrates that the geographical separation in the USEtox model should be specified. The same approach can be utilized for other geo zones due to the accessibility of this information (area size, population size, and density, geological, and landscape features).</dc:description>
</item>
<item>
<title>The depth of the soil's horizons profile has an effect on the human health impact score</title>
<link>http://hdl.handle.net/10985/23309</link>
<description>The depth of the soil's horizons profile has an effect on the human health impact score
BELYANOVSKAYA, Alexandra; VOROBEVA, Daria; GUSEVA, Natalia; LARATTE, Bertrand
The chemical composition of soils reflects the degree of industrial exposure. Cu and Ni concentrations in soils of the «Severonickel » plant vicinity are higher than remote ones. In the impact area, the mean concentration of the heavy metals in the subsoils is 55 [ppm] for Ni and 33 [ppm] for Cu. Soils’ chemical composition varies over different mineral horizons. The subsoil layer is the main accumulator of chemical elements, including pollutants. Erosion of the surface layer and technogenic disturbance of the soil profile can lead to subsoil spreading and a significant increase in the human health Impact Score. At the same time, the default IS calculation is focused on the 0.1 [m] depth for all zones. In the paper two factors are considered in the impact modeling modification. The human health Impact Score is calculated specifically for each genetic soil layer with the respective depth of the profile (from 0.05 [m] to 0.2 [m]) and for soils from background and impact areas. The discrepancies between default and modified Impact Scores are observed. In the Impact area, the highest IShum for Ni is 60, for Cu is 5.6 [DALY]; in the Background area, it is 11 and 3.1 [DALY] respectively. The importance of using the regionally modified values in population health impact monitoring is highlighted.
</description>
<pubDate>Sun, 01 Jan 2023 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://hdl.handle.net/10985/23309</guid>
<dc:date>2023-01-01T00:00:00Z</dc:date>
<dc:creator>BELYANOVSKAYA, Alexandra</dc:creator>
<dc:creator>VOROBEVA, Daria</dc:creator>
<dc:creator>GUSEVA, Natalia</dc:creator>
<dc:creator>LARATTE, Bertrand</dc:creator>
<dc:description>The chemical composition of soils reflects the degree of industrial exposure. Cu and Ni concentrations in soils of the «Severonickel » plant vicinity are higher than remote ones. In the impact area, the mean concentration of the heavy metals in the subsoils is 55 [ppm] for Ni and 33 [ppm] for Cu. Soils’ chemical composition varies over different mineral horizons. The subsoil layer is the main accumulator of chemical elements, including pollutants. Erosion of the surface layer and technogenic disturbance of the soil profile can lead to subsoil spreading and a significant increase in the human health Impact Score. At the same time, the default IS calculation is focused on the 0.1 [m] depth for all zones. In the paper two factors are considered in the impact modeling modification. The human health Impact Score is calculated specifically for each genetic soil layer with the respective depth of the profile (from 0.05 [m] to 0.2 [m]) and for soils from background and impact areas. The discrepancies between default and modified Impact Scores are observed. In the Impact area, the highest IShum for Ni is 60, for Cu is 5.6 [DALY]; in the Background area, it is 11 and 3.1 [DALY] respectively. The importance of using the regionally modified values in population health impact monitoring is highlighted.</dc:description>
</item>
<item>
<title>A regional approach for the calculation of characteristic toxicity factorsusing the USEtox model</title>
<link>http://hdl.handle.net/10985/14038</link>
<description>A regional approach for the calculation of characteristic toxicity factorsusing the USEtox model
BELYANOVSKAYA, Alexandra; LARATTE, Bertrand; PERRY, Nicolas; BARANOVSKAYA, Natalia
The lack of the spatial coverage as one of the main limitations of the Life-cycle impact assessment (LCIA) models leads to disagreement between their results. The USEtox model is only model that provides 8 continental and 17 subcontinental zones but does not consider the wind and water transfers affected areas around the source of pollution. Current investigation proposes the way to reduce this limitation by using the results of chemical analysis (instrumental neutron activation analysis “INAA”) of pork meat as a regional indicator of anthropogenic influence. The concentration coefficient of Cr by replacing the Bioaccumulation factor (BAF) is extrapolated into the calculation of Exposure factor (XF) to modify Characterization factor (CF). Impacted and clean areas of Tomsk district (Russia) placed around Northern industrial hub (Seversk city) are studied. Neither area is located directly in the industrial hub, but the impacted area is under an anthropogenic influence due to air and water transfer of pollution. Results of our investigation present the difference between results of own investigation and default values of USEtox. Probably the model can minimize the impact because of lack of experiment data in the database. The database can be extended more with other analytical results for wide range of metals and geographical locations.
</description>
<pubDate>Tue, 01 Jan 2019 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://hdl.handle.net/10985/14038</guid>
<dc:date>2019-01-01T00:00:00Z</dc:date>
<dc:creator>BELYANOVSKAYA, Alexandra</dc:creator>
<dc:creator>LARATTE, Bertrand</dc:creator>
<dc:creator>PERRY, Nicolas</dc:creator>
<dc:creator>BARANOVSKAYA, Natalia</dc:creator>
<dc:description>The lack of the spatial coverage as one of the main limitations of the Life-cycle impact assessment (LCIA) models leads to disagreement between their results. The USEtox model is only model that provides 8 continental and 17 subcontinental zones but does not consider the wind and water transfers affected areas around the source of pollution. Current investigation proposes the way to reduce this limitation by using the results of chemical analysis (instrumental neutron activation analysis “INAA”) of pork meat as a regional indicator of anthropogenic influence. The concentration coefficient of Cr by replacing the Bioaccumulation factor (BAF) is extrapolated into the calculation of Exposure factor (XF) to modify Characterization factor (CF). Impacted and clean areas of Tomsk district (Russia) placed around Northern industrial hub (Seversk city) are studied. Neither area is located directly in the industrial hub, but the impacted area is under an anthropogenic influence due to air and water transfer of pollution. Results of our investigation present the difference between results of own investigation and default values of USEtox. Probably the model can minimize the impact because of lack of experiment data in the database. The database can be extended more with other analytical results for wide range of metals and geographical locations.</dc:description>
</item>
<item>
<title>The critical parameters of the human health impact calculation</title>
<link>http://hdl.handle.net/10985/20260</link>
<description>The critical parameters of the human health impact calculation
BARANOVSKAYA, Natalia; BELYANOVSKAYA, Alexandra; LARATTE, Bertrand; AGEEVA, Elena
There are many LCA methods and models (e.g. CML 1992, Eco-Indicator 95, IMPACT 2002+, TRACI, USEtox, etc.), used to characterize environmental impacts. Only four LCIA methods include spatial dimension at different geographical levels: Impact World+, LC-IMPACT, EDIP 2003 and USEtox (Bratec et al., 2019). Among these, three (Impact World+, EDIP 2003 and USEtox) include a human health impact category: human toxicity. The USEtox model, recommended by the European Commission, has already proved its efficiency for the coupling of environmental and geochemical studies. The Characterization factors of the USEtox describe environmental fate (FF) of the chemicals, their non- and carcinogenic effect (EF), direct and the indirect exposure (XF). All these factors vary depends on the applicable area. However, despite all advantages of the model, its geographical customization is rather generic. This paper presents the utilization of the already published case study (Belyanovskaya et al., 2019: 2020) with the indirect human exposure factor modification. The investigation present the modified biotransfer factor of the metals (Cr, Zn, Sb, As, Ba) of the meat product calculated specifically for different location inside the area “Central Asia”. The paper extends already published results with local data of the city of Vladivostok (Russia).
</description>
<pubDate>Fri, 01 Jan 2021 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://hdl.handle.net/10985/20260</guid>
<dc:date>2021-01-01T00:00:00Z</dc:date>
<dc:creator>BARANOVSKAYA, Natalia</dc:creator>
<dc:creator>BELYANOVSKAYA, Alexandra</dc:creator>
<dc:creator>LARATTE, Bertrand</dc:creator>
<dc:creator>AGEEVA, Elena</dc:creator>
<dc:description>There are many LCA methods and models (e.g. CML 1992, Eco-Indicator 95, IMPACT 2002+, TRACI, USEtox, etc.), used to characterize environmental impacts. Only four LCIA methods include spatial dimension at different geographical levels: Impact World+, LC-IMPACT, EDIP 2003 and USEtox (Bratec et al., 2019). Among these, three (Impact World+, EDIP 2003 and USEtox) include a human health impact category: human toxicity. The USEtox model, recommended by the European Commission, has already proved its efficiency for the coupling of environmental and geochemical studies. The Characterization factors of the USEtox describe environmental fate (FF) of the chemicals, their non- and carcinogenic effect (EF), direct and the indirect exposure (XF). All these factors vary depends on the applicable area. However, despite all advantages of the model, its geographical customization is rather generic. This paper presents the utilization of the already published case study (Belyanovskaya et al., 2019: 2020) with the indirect human exposure factor modification. The investigation present the modified biotransfer factor of the metals (Cr, Zn, Sb, As, Ba) of the meat product calculated specifically for different location inside the area “Central Asia”. The paper extends already published results with local data of the city of Vladivostok (Russia).</dc:description>
</item>
<item>
<title>Specifications of a chemical composition of the digestive system of Sus scrofa domesticus under technological environmental impact</title>
<link>http://hdl.handle.net/10985/19120</link>
<description>Specifications of a chemical composition of the digestive system of Sus scrofa domesticus under technological environmental impact
BELYANOVSKAYA, Alexandra; BARANOVSKAYA, Natalia; LARATTE, Bertrand; PERRY, Nicolas
The relevance of the work is determined by the need to expand knowledge about the characteristics of the concentration and distribution of chemical elements in the organs and tissues of mammals, as indicators of the potential negative impact on the health of the population. The article discusses the influence of anthropogenic environmental impact on the formation of the elemental composition of a mammalian organism on the example of the domestic pig organs and tissues (Susscrofusdomesticus) sampled in the city of Ekibastuz, Pavlodar region of the Republic of Kazakhstan. The article studies the laws of concentration of chemical elements in the digestive system as a whole and its individual components. The accumulation of As, Br, in the oropharynx, Lu in the stomach, Rb, U in the small intestine, Sb in the large intestine, Au, Ag in the rectum is especially noted. It is proved that the digestive system of a domestic pig reacts to human impact, forming powerful biochemical barriers. The concentration of chemical elements varies depending on the part of the gastrointestinal tract, as the acid-base balance changes and depending on the physiological function of the organs studied. It has been proven that the nature of industrial exposure is reflected in the chemical composition of pigs\' homemade biological materials. The organs of the gastrointestinal tract actively accumulate heavy, rare-earth (Lu, Ce, La), radioactive metals (Th, U) and arsenic. The chemical affinity of a pig\'s body is domestic to human, and the analogy of the behavior of chemical elements in mammals as a whole suggests that the patterns can be attributed to humans, but this assumption requires further refinement.
</description>
<pubDate>Tue, 01 Jan 2019 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://hdl.handle.net/10985/19120</guid>
<dc:date>2019-01-01T00:00:00Z</dc:date>
<dc:creator>BELYANOVSKAYA, Alexandra</dc:creator>
<dc:creator>BARANOVSKAYA, Natalia</dc:creator>
<dc:creator>LARATTE, Bertrand</dc:creator>
<dc:creator>PERRY, Nicolas</dc:creator>
<dc:description>The relevance of the work is determined by the need to expand knowledge about the characteristics of the concentration and distribution of chemical elements in the organs and tissues of mammals, as indicators of the potential negative impact on the health of the population. The article discusses the influence of anthropogenic environmental impact on the formation of the elemental composition of a mammalian organism on the example of the domestic pig organs and tissues (Susscrofusdomesticus) sampled in the city of Ekibastuz, Pavlodar region of the Republic of Kazakhstan. The article studies the laws of concentration of chemical elements in the digestive system as a whole and its individual components. The accumulation of As, Br, in the oropharynx, Lu in the stomach, Rb, U in the small intestine, Sb in the large intestine, Au, Ag in the rectum is especially noted. It is proved that the digestive system of a domestic pig reacts to human impact, forming powerful biochemical barriers. The concentration of chemical elements varies depending on the part of the gastrointestinal tract, as the acid-base balance changes and depending on the physiological function of the organs studied. It has been proven that the nature of industrial exposure is reflected in the chemical composition of pigs\' homemade biological materials. The organs of the gastrointestinal tract actively accumulate heavy, rare-earth (Lu, Ce, La), radioactive metals (Th, U) and arsenic. The chemical affinity of a pig\'s body is domestic to human, and the analogy of the behavior of chemical elements in mammals as a whole suggests that the patterns can be attributed to humans, but this assumption requires further refinement.</dc:description>
</item>
<item>
<title>The influence of technogenesis on the accumulation of chemical elements in the placental barrier of Tomsk region</title>
<link>http://hdl.handle.net/10985/19121</link>
<description>The influence of technogenesis on the accumulation of chemical elements in the placental barrier of Tomsk region
BELYANOVSKAYA, Alexandra; BARANOVSKAYA, Natalia; STANKEVICH, Svetlana; LARATTE, Bertrand; PERRY, Nicolas
The paper discusses general patterns of chemical elements accumulation in the placental tissue of residents of different Tomsk agglomeration settlements (Tomsk, Asino, the settlement of Mirny, the village of Moryakovsky Zaton) as well as of Tomsk districts (Sovetsky, Leninsky, Oktyabrsky, Kirovsky) as an indicator that demonstrates a degree of human impact on the human health. The paper describes possible sources of chemical elements in the human body, depending on residence area. The chemical elements were determined to the maximum (the concentration coefficient exceeds 1,5) accumulated in the tissues of the residents of each settlement. For Tomsk they are Au, As, La, U, Br, for the village of Moryakovsky Zaton – La, As, Ca, Sc, for the village of Mirny – Hf, Sm, Ce, Au; in the city of Asino Eu reaches the maximum concentration coefficient that equals to 1,2. According to the study, the authors assumed that in the barrier system of the placenta, as in the protective mechanism of the body, chemical elements accumulate selectively, depending on their release from the envi
</description>
<pubDate>Tue, 01 Jan 2019 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://hdl.handle.net/10985/19121</guid>
<dc:date>2019-01-01T00:00:00Z</dc:date>
<dc:creator>BELYANOVSKAYA, Alexandra</dc:creator>
<dc:creator>BARANOVSKAYA, Natalia</dc:creator>
<dc:creator>STANKEVICH, Svetlana</dc:creator>
<dc:creator>LARATTE, Bertrand</dc:creator>
<dc:creator>PERRY, Nicolas</dc:creator>
<dc:description>The paper discusses general patterns of chemical elements accumulation in the placental tissue of residents of different Tomsk agglomeration settlements (Tomsk, Asino, the settlement of Mirny, the village of Moryakovsky Zaton) as well as of Tomsk districts (Sovetsky, Leninsky, Oktyabrsky, Kirovsky) as an indicator that demonstrates a degree of human impact on the human health. The paper describes possible sources of chemical elements in the human body, depending on residence area. The chemical elements were determined to the maximum (the concentration coefficient exceeds 1,5) accumulated in the tissues of the residents of each settlement. For Tomsk they are Au, As, La, U, Br, for the village of Moryakovsky Zaton – La, As, Ca, Sc, for the village of Mirny – Hf, Sm, Ce, Au; in the city of Asino Eu reaches the maximum concentration coefficient that equals to 1,2. According to the study, the authors assumed that in the barrier system of the placenta, as in the protective mechanism of the body, chemical elements accumulate selectively, depending on their release from the envi</dc:description>
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