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.

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Official URL: http://dx.doi.org/10.1093/jat/bkt090
Link to published version:: https://doi.org/10.1093/jat/bkt090


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: Biomedical 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: https://shura.shu.ac.uk/id/eprint/8592

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