Citation
Abstract
Arsenic (As) contamination in rice poses significant health risks due to the toxicity of certain arsenicals. This study presents an improved, time-efficient method for quantifying arsenite (AsIII), arsenate (AsV), dimethylarsinic acid (DMA), and monomethylarsonic acid (MMA) in commercial white and brown rice using high-performance liquid chromatography coupled with inductively coupled plasma mass-spectrometry (HPLC–ICP–MS). The method incorporates chromatographic modifiers and ion-pairing agents in the mobile phase, reducing overall retention time to less than 4 minutes while enhancing peak separation. Method optimization, focusing on the solid-to-liquid ratio (g/L) and extraction time (minutes), was validated using the certified reference material (SRM 1568b Rice Flour), with measured concentrations showing good agreement with certified values. The MMA was excluded from the final analysis due to its low concentration in rice samples and minimal risk contribution. Arsenic species in rice followed the trend AsIII > DMA > AsV. No significant association was found between As levels and country of origin, but certain brown (MR 27, MR 29) and white (MR 10, MR 14) rice samples exceeded the European Commission’s limit for inorganic As. Health risk assessments showed all rice samples had a target hazard quotient above 1, indicating potential non-carcinogenic risks. Additionally, estimated cancer risks exceeded the 10–3 (1 in 1000 lifetime risk) threshold under the revised cancer slope factor (CSF) value. This optimized method offers a reliable approach for detecting and quantifying As species in rice, aiding food safety monitoring and regulatory efforts.
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Official URL or Download Paper: https://link.springer.com/article/10.1007/s10653-0...
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Additional Metadata
| Item Type: | Article |
|---|---|
| Subject: | Environmental Engineering |
| Subject: | Environmental Chemistry |
| Divisions: | Faculty of Forestry and Environment International Institute of Aquaculture and Aquatic Science |
| DOI Number: | https://doi.org/10.1007/s10653-025-02723-2 |
| Publisher: | Springer |
| Keywords: | HPLC; ICP-MS; Inorganic arsenic; Rice; Risk assessment; Speciation analysis |
| Depositing User: | Ms. Zaimah Saiful Yazan |
| Date Deposited: | 13 Jan 2026 07:25 |
| Last Modified: | 13 Jan 2026 07:25 |
| Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1007/s10653-025-02723-2 |
| URI: | http://psasir.upm.edu.my/id/eprint/122287 |
| Statistic Details: | View Download Statistic |
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