The DOI matches its Crossref record.
High Percentage Inorganic Arsenic Content of Mining Impacted and Nonimpacted Chinese Rice
Open accessAbstract
Two approaches were undertaken to characterize the arsenic (As) content of Chinese rice. First, a national market basket survey (n = 240) was conducted in provincial capitals, sourcing grain from China's premier rice production areas. Second, to reflect rural diets, paddy rice (n = 195) directly from farmers fields were collected from three regions in Hunan, a key rice producing province located in southern China. Two of the sites were within mining and smeltery districts, and the third was devoid of large-scale metal processing industries. Arsenic levels were determined in all the samples while a subset (n = 33) were characterized for As species, using a new simple and rapid extraction method suitable for use with Hamilton PRP-X100 anion exchange columns and HPLC-ICP-MS. The vast majority (85%) of the market rice grains possessed total As levels < 150 ng g(-1). The rice collected from mine-impacted regions, however, were found to be highly enriched in As, reaching concentrations of up to 624 ng g(-1). Inorganic As (As(i)) was the predominant species detected in all of the speciated grain, with As(i) levels in some samples exceeding 300 ng g(-1). The As(i) concentration in polished and unpolished Chinese rice was successfully predicted from total As levels. The mean baseline concentrations for As(i) in Chinese market rice based on this survey were estimated to be 96 ng g(-1) while levels in mine-impacted areas were higher with ca. 50% of the rice in one region predicted to fail the national standard.
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
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-citationGeographical Variation in Total and Inorganic Arsenic Content of Polished (White) Rice
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., et al. (2009) · Environmental Science & Technology · doi:10.1021/es802612a · Cited by 772
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
Arsenic uptake and speciation in the rootless duckweed Wolffia globosa
Zhang, X., Zhao, F., Huang, Q., Williams, P. N., Sun, G., & Zhu, Y. (2009) · New Phytologist · doi:10.1111/j.1469-8137.2008.02758.x · Cited by 121
Self-citationCui, Y., Du, X., Weng, L., & Van Riemsdijk, W. H. (2010) · Water, Air, & Soil Pollution · doi:10.1007/s11270-010-0370-8 · Cited by 53
Metadata
- Authors
- 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., Meharg, A. A., & Williams, P. N.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2008-05-22
- Volume
- 42
- Issue
- 13
- Pages
- 5008-5013
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W1972268288
- Cited by
- 447
- References
- 0
- FWCI
- 18.94
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: High Percentage Inorganic Arsenic Content of Mining Impacted and Nonimpacted Chinese Rice. https://app.cochat.ai/papers/10.1021/es8001103
- The paper
- 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., Meharg, A. A., & Williams, P. N. (2008). High Percentage Inorganic Arsenic Content of Mining Impacted and Nonimpacted Chinese Rice. Environmental Science & Technology. https://doi.org/10.1021/es8001103
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.