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使用加速器质谱法改进氚暴露重建

Improving tritium exposure reconstructions using accelerator mass spectrometry.

作者信息

Love A H, Hunt J R, Vogel J S, Knezovich J P

机构信息

Department of Civil and Environmental Engineering, University of California at Berkeley, 631 Davis Hall, Berkeley, CA 94720-1710, USA.

出版信息

Anal Bioanal Chem. 2004 May;379(2):198-203. doi: 10.1007/s00216-003-2425-9. Epub 2004 Jan 21.

Abstract

Direct measurement of tritium atoms by accelerator mass spectrometry (AMS) enables rapid low-activity tritium measurements from milligram-sized samples and permits greater ease of sample collection, faster throughput, and increased spatial and/or temporal resolution. Because existing methodologies for quantifying tritium have some significant limitations, the development of tritium AMS has allowed improvements in reconstructing tritium exposure concentrations from environmental measurements and provides an important additional tool in assessing the temporal and spatial distribution of chronic exposure. Tritium exposure reconstructions using AMS were previously demonstrated for a tree growing on known levels of tritiated water and for trees exposed to atmospheric releases of tritiated water vapor. In these analyses, tritium levels were measured from milligram-sized samples with sample preparation times of a few days. Hundreds of samples were analyzed within a few months of sample collection and resulted in the reconstruction of spatial and temporal exposure from tritium releases. Although the current quantification limit of tritium AMS is not adequate to determine natural environmental variations in tritium concentrations, it is expected to be sufficient for studies assessing possible health effects from chronic environmental tritium exposure.

摘要

通过加速器质谱法(AMS)直接测量氚原子,能够对毫克级样品进行快速低活度氚测量,并且使样品采集更加简便、通量更高,以及空间和/或时间分辨率更高。由于现有的氚定量方法存在一些重大局限性,氚AMS的发展使得从环境测量中重建氚暴露浓度得到改进,并为评估慢性暴露的时空分布提供了一个重要的额外工具。此前已证明利用AMS对生长在已知水平的氚化水的树木以及暴露于氚化水蒸气大气释放中的树木进行氚暴露重建。在这些分析中,从毫克级样品中测量氚水平,样品制备时间为几天。在样品采集后的几个月内分析了数百个样品,并根据氚释放情况重建了时空暴露。尽管目前氚AMS的定量限不足以确定氚浓度的自然环境变化,但预计对于评估慢性环境氚暴露可能的健康影响的研究来说是足够的。

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