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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), arsenate (As), 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 > DMA > As. 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 (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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http://dx.doi.org/10.1007/s10653-025-02723-2 | DOI Listing |
Genome Biol
September 2025
Center for Genomic Medicine, Cardiovascular Research Center, , Massachusetts General Hospital Simches Research Center, 185 Cambridge Street, CPZN 5.238,, Boston, MA, 02114, USA.
Background: Rare genetic variation provided by whole genome sequence datasets has been relatively less explored for its contributions to human traits. Meta-analysis of sequencing data offers advantages by integrating larger sample sizes from diverse cohorts, thereby increasing the likelihood of discovering novel insights into complex traits. Furthermore, emerging methods in genome-wide rare variant association testing further improve power and interpretability.
View Article and Find Full Text PDFJ Chem Phys
September 2025
Department of Mathematics and Computer Science, Freie Universität, Berlin, Germany.
Coarse-grained (CG) molecular dynamics simulations extend the length and time scales of atomistic simulations by replacing groups of correlated atoms with CG beads. Machine-learned coarse-graining (MLCG) has recently emerged as a promising approach to construct highly accurate force fields for CG molecular dynamics. However, the calibration of MLCG force fields typically hinges on force matching, which demands extensive reference atomistic trajectories with corresponding force labels.
View Article and Find Full Text PDFBJPsych Open
September 2025
Wolfson Centre for Young People's Mental Health and Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK.
Background: A family history of mental illness, particularly parental depression, is a risk factor for mental health difficulties in young people, with this heightened risk extending into adulthood. Evidence suggests low rates of formal mental health support in children/adolescents with depressed parents, but it is unknown whether this pattern persists into adulthood and applies to informal support.
Aims: We examined the prevalence of formal and informal mental health support accessed by young adults with recurrently depressed parents.
Food Res Int
November 2025
Innovation Center for Advanced Brewing Science and Technology, College of Biomass Science and Engineering, Sichuan University, Chengdu 610065, PR China; National Engineering Research Center of Solid-state Brewing, Luzhou Laojiao Co. Ltd, Luzhou 646000, China; Key Laboratory of Monitoring and Assessm
Fermented foods are valued for their diverse flavor and health benefits, but the formation of ethyl carbamate (EC), a potential carcinogen, during production and storage poses challenges. Current EC reduction methods often compromise flavor and bioactive components. This study exemplifies a novel adsorbent combining activated carbon with metal-organic framework (MOF) chemistry for semi-selective EC removal.
View Article and Find Full Text PDFJ Appl Microbiol
September 2025
Graduate Institute of Medical Sciences, National Defense Medical University, Taipei City 114201, Taiwan (R.O.C.).
Aims: This study aims to develop and evaluate a rapid and high-multiplex pathogen detection method for clinical and food specimens to address the ongoing public health threat of foodborne infections and the limitations of conventional culture-based diagnostics.
Methods And Results: The foodborne bacteria (FBB) assay integrates multiplex PCR, T7 exonuclease hydrolysis, and a suspension bead array to simultaneously detect 16 genes from 13 major foodborne bacteria. Analytical performance was evaluated using reference strains, while diagnostic performance was assessed using clinical and food samples.