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Arsenic speciation using HPLC–ICP–MS in white and brown rice and health risk assessment


Citation

Navaretnam, Raneesha and Aris, Ahmad Zaharin and A. Shukor, Muhammad Faizan and Norrrahim, Mohd Nor Faiz and Knight, Victor Feizal and Chin, Teen Teen and Mohd Isa, Noorain and Looi, Ley Juen (2025) Arsenic speciation using HPLC–ICP–MS in white and brown rice and health risk assessment. Environmental Geochemistry and Health, 47 (10). art. no. 411. pp. 1-24. ISSN 0269-4042; eISSN: 1573-2983

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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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
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