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      Biomonitoring of arsenic, cadmium and lead in two artisanal and small-scale gold mining areas in Zimbabwe

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          Abstract

          People living and working in artisanal and small-scale gold mining (ASGM) areas are frequently exposed to elemental mercury (Hg), which is used for gold extraction. However, additional exposure to other toxic metals such as arsenic (As), cadmium (Cd) and lead (Pb) may result from mining-related activities and could be ingested via dust, water or food. In these areas, only limited biomonitoring data is available for toxic metals other than Hg. In particular, data about the exposure to As, Cd and Pb is unavailable for the Zimbabwean population. Therefore, we conducted a cross-sectional study in two ASGM areas in Zimbabwe to evaluate the internal exposure to these metals. In total, urine and blood samples from 207 people that identified themselves as miners were collected and analysed for As and Cd in urine as well as Pb in blood by GF-AAS. Median levels (interquartile ranges in μg/l) of As and Pb were 9.7 μg/l (4.0, 18.5) and 19.7 μg/l (12.5, 34.5), respectively. The 25th percentile and the median for Cd were below the limit of detection (0.5 μg/l); the 75th percentile was at 0.9 μg/l. The results were compared to reference values found for the general population in the USA and Germany, and a significant number of participants exceeded these values (As, 33 %; Cd, 27 %; Pb, 32 %), indicating a relevant exposure to toxic metals. Although not representative for the Zimbabwean population, our results demonstrate that the exposure to toxic metals is relevant for the public health in Zimbabwe and requires further investigation.

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          The online version contains supplementary material available at 10.1007/s11356-021-15940-w.

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          An estimation of the artisanal small-scale production of gold in the world.

          The increase in gold price of over 400% between 2002 and 2012, due to a shift towards safe investments in a period of crisis in the global economy, created a rapid increase in gold production. A response to this shift in production was observed for artisanal and small-scale mining (ASM) units in remote locations of the world, but this phenomenon has not been quantified yet. The work presented here was done to provide a quantitative tool for estimation of the gold (Au) produced by ASM and the population of workers involved in the production process, and assessment of mercury (Hg) consumed. The following hypotheses were addressed: i) It is possible to estimate, on first approximation, the amount of Au production in the world by artisanal mining; ii) Au production by artisanal mining varies by country and continent and iii) Hg consumption due to ASM can be correlated with the methods applied in the different countries and continents for the production of Au. To do this we estimated the number of miners, calculated the change in Au price and production and then applied an adjustment factor to calculate Hg production by country and continent. The amount of Au produced depends on technology of the miners by continents (highest in South America, medium in Asia and Central America, and lowest in Africa), and the geologic setting (not investigated here). The results of the estimation show that, as of 2011, over 16 million Artisanal Miners, in the world, were involved in gold extraction (mining or treatment), producing between 380 and 450 t of gold per year, with clear global behavior between the continents in terms of recovery efficiency, confirmed by data on Hg release that is higher in countries with lower technology.
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            Update of the reference and HBM values derived by the German Human Biomonitoring Commission.

            In 2007, we reviewed the working principles and working procedures of the German Human Biomonitoring Commission together with the reference values and human biomonitoring (HBM) values derived up to that time. Since then, the Commission has decided to derive additionally HBM I values on the basis of tolerable daily intakes and has used and evaluated this new approach on the metabolites of (2-ethylhexyl) phthalate (DEHP) in urine. Furthermore, the Commission has derived a HBM I value for thallium in urine, has recinded the HBM values for lead in blood, and has updated the HBM values for cadmium in urine. Based on the representative data of the German Environmental Survey on Children from 2003 to 2006 (GerES IV), the Commission has updated the reference values for a large number of environmental pollutants in urine and blood of children in Germany. Since 2007, the Commission has derived new and updated reference values for PFOS and PFOA in human plasma, for thallium in urine, for aromatic amines in urine, for a comprehensive number of phthalate metabolites in urine, and for organochlorine pesticides in human breast milk. Furthermore, the Commission has evaluated background exposure levels for two naphthalene metabolites and acrylamide (using acrylamide-haemoglobin adduct) for the general population. This paper reports the new values, including those already published, in order to provide an updated overview. Copyright © 2011 Elsevier GmbH. All rights reserved.
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              Mercury contamination associated with small-scale gold mining in Tanzania and Zimbabwe

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                Author and article information

                Contributors
                stefan.rakete@med.uni-muenchen.de
                Journal
                Environ Sci Pollut Res Int
                Environ Sci Pollut Res Int
                Environmental Science and Pollution Research International
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0944-1344
                1614-7499
                19 August 2021
                19 August 2021
                2022
                : 29
                : 3
                : 4762-4768
                Affiliations
                [1 ]GRID grid.5252.0, ISNI 0000 0004 1936 973X, Institute and Clinic for Occupational-, Social- and Environmental Medicine, , University Hospital, LMU Munich, ; Ziemssenstr. 1, D-80336 Munich, Germany
                [2 ]GRID grid.411095.8, ISNI 0000 0004 0477 2585, Center for International Health, , LMU University Hospital Munich, ; Munich, Germany
                [3 ]GRID grid.12984.36, ISNI 0000 0000 8914 5257, Department of Epidemiology and Biostatistics, , University of Zambia, ; Lusaka, Zambia
                [4 ]Tailjet Consultancy Services, Harare, Zimbabwe
                [5 ]GRID grid.11951.3d, ISNI 0000 0004 1937 1135, School of Public Health, Faculty of Health Sciences, Occupational Health Division, , University of the Witwatersrand, ; Johannesburg, Republic of South Africa
                [6 ]GRID grid.442709.c, ISNI 0000 0000 9894 9740, Faculty of Medicine & Faculty of Social Sciences, , Midlands State University, ; Gweru, Zimbabwe
                [7 ]GRID grid.13001.33, ISNI 0000 0004 0572 0760, Department of Community Medicine, , UZ College of Health Sciences, ; Harare, Zimbabwe
                [8 ]Section Environmental Medicine and Health Effects Assessment German Environment Agency, Berlin, Germany
                [9 ]GRID grid.41719.3a, ISNI 0000 0000 9734 7019, Institute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, , UMIT (Private University for Health Sciences, Medical Informatics and Technology), ; Hall in Tirol, Austria
                [10 ]GRID grid.7727.5, ISNI 0000 0001 2190 5763, University Children’s Hospital Regensburg (KUNO-Clinics), Clinic St. Hedwig, , University of Regensburg, ; Regensburg, Germany
                Author notes

                Responsible Editor: Lotfi Aleya

                Author information
                http://orcid.org/0000-0002-4851-513X
                Article
                15940
                10.1007/s11356-021-15940-w
                8741681
                34409536
                8624ee7f-f4ca-4194-8909-bdd86760f023
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 26 March 2021
                : 9 August 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100006549, Bundesministerium für Umwelt, Naturschutz und Reaktorsicherheit;
                Award ID: BMU IG II 2 45083 - 4/0
                Funded by: Seventh Framework Programme
                Award ID: 603946
                Funded by: FundRef http://dx.doi.org/10.13039/100011102, Seventh Framework Programme;
                Award ID: 603946
                Categories
                Research Article
                Custom metadata
                © Springer-Verlag GmbH Germany, part of Springer Nature 2022

                General environmental science
                biomonitoring,toxic metals,arsenic,cadmium,lead,artisanal and small-scale gold mining,zimbabwe

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