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电感耦合等离子体质谱法测定尿中铍:低水平暴露工人与未暴露人员的比较。

Beryllium in urine by ICP-MS: a comparison of low level exposed workers and unexposed persons.

机构信息

Health and Safety Laboratory, Harpur Hill, Buxton, Derbyshire, UK.

出版信息

Int Arch Occup Environ Health. 2011 Aug;84(6):697-704. doi: 10.1007/s00420-010-0587-2. Epub 2010 Oct 21.

Abstract

PURPOSE

To develop a sensitive and reproducible method for urinary beryllium and to use this method to establish levels in workers at an aluminium smelter and in unexposed persons.

METHODS

A method was developed for urinary beryllium using a Thermo ICP-MS Series 1, which was used to determine beryllium concentrations in urine from 62 people with no known occupational exposure to beryllium and 167 workers with potential exposure to beryllium at an aluminium smelter, where beryllium exists as an impurity in the bauxite ore.

RESULTS

The analytical method has a detection limit (based on three times the background equivalent concentration of the blank) for beryllium in urine of 6 ng/L. The mean and 90th percentiles of urinary beryllium for workers were 19.5 and 42.0 ng/L and compared with 11.6 and 20.0 ng/L in people not occupationally exposed to beryllium. Statistical analysis using mixed effects models showed that workers had 47% (in 135 paired samples) higher levels of urinary beryllium at the end of the working week compared to the start of week and that the workers who smoked also had significantly higher levels of urinary beryllium compared to those that did not smoke. There was also a statistically significant difference between workers and controls in urinary beryllium concentrations not corrected for creatinine.

CONCLUSIONS

A sensitive and reliable analytical method was developed for urinary beryllium by ICP-MS. The workers in this study were exposed to beryllium at very low levels.

摘要

目的

开发一种灵敏且可重现的尿铍检测方法,并使用该方法确定铝冶炼厂工人和非暴露人群的尿铍水平。

方法

使用 Thermo ICP-MS Series 1 开发了一种尿铍检测方法,用于测定 62 名无已知职业性铍暴露史者和 167 名可能接触铝冶炼厂铍杂质的工人的尿铍浓度。

结果

该分析方法对尿中铍的检测限(基于空白背景等效浓度的三倍)为 6ng/L。工人尿铍的平均值和 90 百分位数分别为 19.5 和 42.0ng/L,与未接触铍的人群的 11.6 和 20.0ng/L 相比。使用混合效应模型进行的统计学分析显示,与工作周开始时相比,工人在工作周结束时尿铍水平高出 47%(在 135 对配对样本中),而且与不吸烟的工人相比,吸烟的工人尿铍水平也显著更高。对于未经肌酐校正的尿铍浓度,工人与对照组之间也存在统计学差异。

结论

通过 ICP-MS 开发了一种灵敏且可靠的尿铍分析方法。本研究中的工人接触的铍水平非常低。

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