µLC-ICP-MS determinations of unexposed UK urinary arsenic speciation reference values

LEESE, Elizabeth, MORTON, Jackie, TAN, Emma, GARDINER, Philip H.E. and CAROLAN, Vikki A. (2014). µLC-ICP-MS determinations of unexposed UK urinary arsenic speciation reference values. Journal of Analytical Toxicology, 38 (1), 24-30.

[img]
Preview
PDF
Gardiner-DeterminationsUnexposedUK(VoR).pdf - Published Version
UK Government Open licence (OGLv3.0).

Download (339kB) | Preview
Official URL: http://dx.doi.org/10.1093/jat/bkt090
Link to published version:: https://doi.org/10.1093/jat/bkt090
Related URLs:

    Abstract

    This study provides background levels for five arsenic species in urine, based on urinary data obtained from 95 nonoccupationally exposed volunteers based in the UK. Using a novel, sensitive, robust and reliable speciation methodology, five species of arsenic (arsenobetaine [AB], arsenite [As3+], arsenate [As5+], monomethylarsonic acid [MMA5+] and dimethylarsinic acid [DMA5+]) were determined in urine samples collected from 95 adults. The analytical instrumentation used to analyze the urine samples was a hyphenated micro liquid chromatography (μLC) system coupled to an inductively coupled plasma mass spectrometry (ICP-MS). Separation was achieved using an anion exchange micro-sized column. The results presented give the 95th percentile of concentrations, both uncorrected for creatinine (µg/L) and creatinine corrected (µmol/mol) in urine for the 95 volunteers. Statistical analysis was performed on the dataset using a Bayesian model to determine and quantify effects of gender, smoking and diet. The statistical results show that the consumption of fish, shellfish and red wine has a significant elevating effect on AB, DMA and MMA urinary concentrations; however, no significant effect was observed for smoking. The regression model results indicate that creatinine correction was effective for arsenic species As3+, MMA, DMA and AB. The background levels established here can be used as reference values to help aid interpretation of arsenic speciation results and better assess exposure.

    Item Type: Article
    Research Institute, Centre or Group - Does NOT include content added after October 2018: Biomolecular Sciences Research Centre
    Identification Number: https://doi.org/10.1093/jat/bkt090
    Page Range: 24-30
    Depositing User: Louise Vickers
    Date Deposited: 05 Nov 2014 12:54
    Last Modified: 17 Mar 2021 20:16
    URI: http://shura.shu.ac.uk/id/eprint/8592

    Actions (login required)

    View Item View Item

    Downloads

    Downloads per month over past year

    View more statistics