The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Geographical Variation in Total and Inorganic Arsenic Content of Polished (White) Rice
Open accessAbstract
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., notspecifically 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 contentversus total arsenic contentsignificantly 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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A review of the source, behaviour and distribution of arsenic in natural waters
Smedley, P. L., & Kinniburgh, D. G. (2002) · Applied Geochemistry · doi:10.1016/s0883-2927(02)00018-5 · Cited by 7,691
Meharg, A. A., & Rahman, M. M. (2003) · Environmental Science & Technology · doi:10.1021/es0259842 · Cited by 1,018
Self-citationSome drinking-water disinfectants and contaminants, including arsenic.
Anders, W. M., Bull, R. J., Cantor, K. P., Chakraborti, D., Chen, C., DeAngelo, A. B., DeMarini, D. M., Catterina Ferreccio, R., Fukushima, S., Gebel, T., et al. (2004) · PubMed · Cited by 1,000
Self-citationVariation in Arsenic Speciation and Concentration in Paddy Rice Related to Dietary Exposure
Williams, P. N., Price, A. H., Raab, A., Hossain, S. A., Feldmann, J., & Meharg, A. A. (2005) · Environmental Science & Technology · doi:10.1021/es0502324 · Cited by 804
Self-citationWilliams, P. N., Villada, A., Deacon, C., Raab, A., Figuerola, J., Green, A. J., Feldmann, J., & Meharg, A. A. (2007) · Environmental Science & Technology · doi:10.1021/es070627i · Cited by 777
Self-citationMetal contamination of soils and crops affected by the Chenzhou lead/zinc mine spill (Hunan, China)
Liu, H., Probst, A., & Liao, B. (2005) · Science of The Total Environment · doi:10.1016/j.scitotenv.2004.07.030 · Cited by 640
Williams, P. N., Islam, M. R., Adomako, E. E., Raab, A., Hossain, S. A., Zhu, Y. G., Feldmann, J., & Meharg, A. A. (2006) · Environmental Science & Technology · doi:10.1021/es060222i · Cited by 548
Self-citationA Market Basket Survey of Inorganic Arsenic in Food
Schoof, R. A., Yost, L. J., Eickhoff, J., Crecelius, E. A., Cragin, D. W., Meacher, D. M., & Menzel, D. B. (1999) · Food and Chemical Toxicology · doi:10.1016/s0278-6915(99)00073-3 · Cited by 487
High Percentage Inorganic Arsenic Content of Mining Impacted and Nonimpacted Chinese Rice
Zhu, Y.-G., Sun, G.-X., Lei, M., Teng, M., Liu, Y.-X., Chen, N.-C., Wang, L.-H., Carey, A. M., Deacon, C., Raab, A., et al. (2008) · Environmental Science & Technology · doi:10.1021/es8001103 · Cited by 447
Self-citationSpeciation and Localization of Arsenic in White and Brown Rice Grains
Meharg, A. A., Lombi, E., Williams, P. N., Scheckel, K. G., Feldmann, J., Raab, A., Zhu, Y., & Islam, R. (2008) · Environmental Science & Technology · doi:10.1021/es702212p · Cited by 367
Self-citationHeitkemper, D. T., Vela, N. P., Stewart, K. R., & Westphal, C. S. (2001) · Journal of Analytical Atomic Spectrometry · doi:10.1039/b007241i · Cited by 334
Arsenic in Rice: I. Estimating Normal Levels of Total Arsenic in Rice Grain
Zavala, Y. J., & Duxbury, J. M. (2008) · Environmental Science & Technology · doi:10.1021/es702747y · Cited by 328
Mondal, D., & Polya, D. A. (2008) · Applied Geochemistry · doi:10.1016/j.apgeochem.2008.06.025 · Cited by 323
Inorganic Arsenic in Rice Bran and Its Products Are an Order of Magnitude Higher than in Bulk Grain
Sun, G.-X., Williams, P. N., Carey, A.-M., Zhu, Y.-G., Deacon, C., Raab, A., Feldmann, J., Islam, R. M., & Meharg, A. A. (2008) · Environmental Science & Technology · doi:10.1021/es801238p · Cited by 303
Self-citationArsenic in Rice: II. Arsenic Speciation in USA Grain and Implications for Human Health
Zavala, Y. J., Gerads, R., Gürleyük, H., & Duxbury, J. M. (2008) · Environmental Science & Technology · doi:10.1021/es702748q · Cited by 275
Williams, P. N., Raab, A., Feldmann, J., & Meharg, A. A. (2007) · Environmental Science & Technology · doi:10.1021/es061489k · Cited by 261
Self-citationJuhasz, A. L., Smith, E., Weber, J., Rees, M., Rofe, A., Kuchel, T., Sansom, L., & Naidu, R. (2006) · Environmental Health Perspectives · doi:10.1289/ehp.9322 · Cited by 256
Liao, X.-Y., Chen, T.-B., Xie, H., & Liu, Y.-R. (2005) · Environment International · doi:10.1016/j.envint.2005.05.030 · Cited by 245
Arsenic intake via water and food by a population living in an arsenic-affected area of Bangladesh
Ohno, K., Yanase, T., Matsuo, Y., Kimura, T., Hamidur Rahman, M., Magara, Y., & Matsui, Y. (2007) · Science of The Total Environment · doi:10.1016/j.scitotenv.2007.03.019 · Cited by 202
Dietary Arsenic Exposure in Bangladesh
Kile, M. L., Houseman, E. A., Breton, C. V., Smith, T., Quamruzzaman, Q., Rahman, M., Mahiuddin, G., & Christiani, D. C. (2007) · Environmental Health Perspectives · doi:10.1289/ehp.9462 · Cited by 184
Ackerman, A. H., Creed, P. A., Parks, A. N., Fricke, M. W., Schwegel, C. A., Creed, J. T., Heitkemper, D. T., & Vela, N. P. (2005) · Environmental Science & Technology · doi:10.1021/es048150n · Cited by 174
Cooking rice in a high water to rice ratio reduces inorganic arsenic content
Raab, A., Baskaran, C., Feldmann, J., & Meharg, A. A. (2009) · J. Environ. Monit. · doi:10.1039/b816906c · Cited by 172
Self-citationTorres-Escribano, S., Leal, M., Vélez, D., & Montoro, R. (2008) · Environmental Science & Technology · doi:10.1021/es071516m · Cited by 165
Influence of cooking method on arsenic retention in cooked rice related to dietary exposure
Rahman, M. A., Hasegawa, H., Rahman, M. A., Rahman, M. M., & Miah, M. A. M. (2006) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2006.05.018 · Cited by 125
Estimation of Multimedia Inorganic Arsenic Intake in the U.S. Population
Meacher, D. M., Menzel, D. B., Dillencourt, M. B., Bic, L., Schoof, R. A., Yost, L. J., Eickhoff, J. C., & Farr, C. H. (2002) · Human and Ecological Risk Assessment An International Journal · doi:10.1080/20028091057565 · Cited by 114
Lee, S. (2006) · Geoderma · doi:10.1016/j.geoderma.2005.11.004 · Cited by 83
Major contributors to inorganic arsenic intake in southeastern Michigan
Meliker, J. R., Franzblau, A., Slotnick, M. J., & Nriagu, J. O. (2006) · International Journal of Hygiene and Environmental Health · doi:10.1016/j.ijheh.2006.03.006 · Cited by 52
Cited by
Zhao, F.-J., McGrath, S. P., & Meharg, A. A. (2010) · Annual Review of Plant Biology · doi:10.1146/annurev-arplant-042809-112152 · Cited by 1,246
Self-citationArsenic and cadmium accumulation in rice and mitigation strategies
Zhao, F.-J., & Wang, P. (2020) · Plant and Soil · doi:10.1007/s11104-019-04374-6 · Cited by 624
Self-citationMani, D., & Kumar, C. (2014) · International Journal of Environmental Science and Technology · doi:10.1007/s13762-013-0299-8 · Cited by 615
Meharg, C., & Meharg, A. A. (2015) · Environmental and Experimental Botany · doi:10.1016/j.envexpbot.2015.07.001 · Cited by 280
Self-citationMolin, M., Ulven, S. M., Meltzer, H. M., & Alexander, J. (2015) · Journal of Trace Elements in Medicine and Biology · doi:10.1016/j.jtemb.2015.01.010 · Cited by 229
Metadata
- Authors
- Meharg, A. A., Williams, P. N., Adomako, E., Lawgali, Y. Y., Deacon, C., Villada, A., Cambell, R. C. J., Sun, G., Zhu, Y.-G., Feldmann, J., Raab, A., Zhao, F.-J., Islam, R., Hossain, S., & Yanai, J.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2009-01-21
- Volume
- 43
- Issue
- 5
- Pages
- 1612-1617
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2016547637
- Cited by
- 772
- References
- 27
- FWCI
- 28.74
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.