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

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 (As<sup>III</sup>), arsenate (As<sup>V</sup>), 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 As<sup>III</sup> > DMA > As<sup>V</sup>. 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<sup>-3</sup> (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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Publication Details

Journal
Environmental Geochemistry and Health
Published
2025-08-25
DOI
https://doi.org/10.1007/s10653-025-02723-2
Citations
1
Primary Topic
Arsenic contamination and mitigation
Type
article
Field-Weighted Citation Impact
0.86

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article

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

Victor Feizal Knight, Muhammad Faizan A. Shukor, Raneesha Navaretnam, Mohd Nor Faiz Norrrahim et al.
1 citations
Environmental Geochemistry and Health
Arsenic contamination and mitigation
0.86
article

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

Victor Feizal Knight, Muhammad Faizan A. Shukor, Raneesha Navaretnam, Mohd Nor Faiz Norrrahim, Ahmad Zaharin Aris, Ley Juen Looi, Noorain Mohd Isa, Teen Teen Chin
article en
1 citations

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 (As<sup>III</sup>), arsenate (As<sup>V</sup>), 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 As<sup>III</sup> > DMA > As<sup>V</sup>. 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<sup>-3</sup> (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.

Environmental Geochemistry and HealthVol. 47(10)
INTI International University (MY), Universiti Putra Malaysia (MY), National Defence University of Malaysia (MY)
Ministry of Higher Education, Malaysia, Universiti Putra Malaysia
Zero hunger
Openalex Percentile: Top 25%
Arsenic contamination and mitigation
0.86
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