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Arsenic exposure from food exceeds that from drinking water in endemic area of Bihar, India.

Mondal, D; Rahman, MM; Suman, S; Sharma, P; Siddique, AB; Rahman, MA; Bari, ASMF; Kumar, R; Bose, N; Singh, SK; et al. Mondal, D; Rahman, MM; Suman, S; Sharma, P; Siddique, AB; Rahman, MA; Bari, ASMF; Kumar, R; Bose, N; Singh, SK; Ghosh, A; Polya, DA (2021) Arsenic exposure from food exceeds that from drinking water in endemic area of Bihar, India. Sci Total Environ, 754. p. 142082. ISSN 1879-1026 https://doi.org/10.1016/j.scitotenv.2020.142082
SGUL Authors: Mondal, Debapriya

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Abstract

Extensive evidence of elevated arsenic (As) in the food-chain, mainly rice, wheat and vegetables exists. Nevertheless, the importance of exposure from food towards total As exposure and associated health risks in areas with natural occurring As in drinking water is still often neglected, and accordingly mitigations are largely focused on drinking water only. In this study, the contribution of food over drinking water to overall As exposure was estimated for As exposed populations in Bihar, India. Increased lifetime cancer risk was predicted using probabilistic methods with input parameters based on detailed dietary assessment and estimation of As in drinking water, cooked rice, wheat flour and potato collected from 91 households covering 19 villages. Median total exposure was 0.83 μg/kgBW/day (5th and 95th percentiles were 0.21 and 11.1 μg/kgBW/day) and contribution of food (median = 49%) to overall exposure was almost equal to that from drinking water (median = 51%). More importantly and contrary to previous studies, food was found to contribute more than drinking water to As exposure, even when drinking water As was above the WHO provisional guide value of 10 μg/L. Median and 95th percentile excess lifetime cancer risks from food intake were 1.89 × 10-4 and 7.32 × 10-4 respectively when drinking water As was below 10 μg/L and 4.00 × 10-4 and 1.83 × 10-3 respectively when drinking water As was above 10 μg/L. Our results emphasise the importance of food related exposure in As-endemic areas, and, perhaps surprisingly, particularly in areas with high As concentrations in drinking water - this being partly ascribed to increases in food As due to cooking in high As water. These findings are timely to stress the importance of removing As from the food chain and not just drinking water in endemic areas.

Item Type: Article
Additional Information: © 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords: Cooked rice, Exposure assessment, Increased cancer risk, Potato, Probabilistic method, Wheat, Arsenic, Drinking Water, Environmental Exposure, Flour, Food Contamination, India, Oryza, Triticum, Water Pollutants, Chemical, Triticum, Arsenic, Water Pollutants, Chemical, Environmental Exposure, Food Contamination, Flour, India, Drinking Water, Oryza, Cooked rice, Potato, Wheat, Increased cancer risk, Exposure assessment, Probabilistic method, MD Multidisciplinary, Environmental Sciences
SGUL Research Institute / Research Centre: Academic Structure > Institute of Medical & Biomedical Education (IMBE)
Academic Structure > Institute of Medical & Biomedical Education (IMBE) > Centre for Clinical Education (INMECE )
Journal or Publication Title: Sci Total Environ
ISSN: 1879-1026
Language: eng
Dates:
DateEvent
1 February 2021Published
31 August 2020Published Online
28 August 2020Accepted
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
UNSPECIFIEDBritish Councilhttp://dx.doi.org/10.13039/501100000308
DST-UKIERI- 2016-17-0064Department of Science and Technology, Ministry of Science and Technologyhttp://dx.doi.org/10.13039/501100001409
NE/R003386/1Natural Environment Research Councilhttp://dx.doi.org/10.13039/501100000270
DST/TM/INDO478UK/2K17/55(C)Department of Science and Technology, Ministry of Science and Technologyhttp://dx.doi.org/10.13039/501100001409
DST/TM/INDO478UK/2K17/55(G)Department of Science and Technology, Ministry of Science and Technologyhttp://dx.doi.org/10.13039/501100001409
PubMed ID: 32919317
Web of Science ID: WOS:000593899600013
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/112755
Publisher's version: https://doi.org/10.1016/j.scitotenv.2020.142082

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