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Geographical variation in total and inorganic arsenic content of polished (white) rice

  • Andrew A. Meharg
  • , Paul N. Williams
  • , Eureka Adomako
  • , Youssef Y. Lawgali
  • , Claire Deacon
  • , Antia Villada
  • , Robert C.J. Cambell
  • , Guoxin Sun
  • , Yong Guan Zhu
  • , Joerg Feldmann
  • , Andrea Raab
  • , Fang Jie Zhao
  • , Rafiqul Islam
  • , Shahid Hossain
  • , Junta Yanai
  • University of Aberdeen
  • CAS - Research Center for Eco-Environmental Sciences
  • Rothamsted Research
  • Bangladesh Agricultural University
  • University of Dhaka
  • Kyoto Prefectural University

Research output: Contribution to journalArticlepeer-review

731 Citations (Scopus)

Abstract

An extensive data set of total arsenic analysis for 901 polished (white) grain samples, originating from 10 countries from 4 continents, was compiled. The samples represented the baseline (i.e., not specifically collected from arsenic contaminated areas), and all were for market sale in major conurbations. Median total arsenic contents of rice varied 7-fold, with Egypt (0.04 mg/kg) and India (0.07 mg/kg) having the lowest arsenic content while the U.S. (0.25 mg/kg) and France (0.28 mg/kg) had the highest content. Global distribution of total arsenic in rice was modeled by weighting each country's arsenic distribution by that country's contribution to global production. A subset of 63 samples from Bangladesh, China, India, Italy, and the U.S. was analyzed for arsenic species. The relationship between inorganic arsenic content versus total arsenic content significantly differed among countries, with Bangladesh and India having the steepest slope in linear regression, and the U.S. having the shallowest slope. Using country-specific rice consumption data, daily intake of inorganic arsenic was estimated and the associated internal cancer risk was calculated using the U.S. Environmental Protection Agency (EPA) cancer slope. Median excess internal cancer risks posed by inorganic arsenic ranged 30-fold for the 5 countries examined, being 0.7 per 10,000 for Italians to 22 per 10,000 for Bangladeshis, when a 60 kg person was considered.

Original languageEnglish
Pages (from-to)1612-1617
Number of pages6
JournalEnvironmental Science and Technology
Volume43
Issue number5
DOIs
Publication statusPublished - 1 Mar 2009

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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