使用ICP-QQQ-MS在水样中的Ra-226分析的直接方法
Ivana Coha1,2, Marko Štrok1, Norbert Kavasi3,4
1Department of Environmental Sciences, Jožef Stefan Institute, 1000, Ljubljana, Slovenia.
Scientific reports
|January 22, 2026
概括
使用ICP-QQQ-MS的新方法有效地确定自然水中的-226 (Ra-226). 这种敏感的技术提供了低检测极限,超过了安全饮用水的欧盟标准.
科学领域:
- 环境科学 环境科学
- 分析化学 分析化学
- 核科学 核科学 核科学
背景情况:
- -226 (Ra-226) 是一种天然存在的放射性同位素,在水中发现.
- 精确确定Ra-226对于评估水安全和环境影响至关重要.
- 现有的Ra-226分析方法可能是复杂的,耗时的,或缺乏足够的灵敏度.
研究的目的:
- 开发和验证一种直接的,高度敏感的方法,用于在自然水中确定Ra-226.
- 建立一种适用于常规分析和遵守监管标准的方法.
- 通过能力测试来证明拟议方法的准确性和可靠性.
主要方法:
- 使用了感应合等离子体 - 三重四极质谱 (ICP-QQQ-MS),特别是Agilent 8900仪器.
- 使用直接确定方法,不需要反应气体或复杂的分离程序.
- 通过将Ra-226.6添加到样本中来控制矩阵效应和灵敏度不稳定.
主要成果:
- 实现了对Ra-226的高度敏感的直接测定,检测极限约为0.1 fg g-1 (3.6 mBq kg-1).
- 该方法的检测极限比欧盟饮用水指令的极限低10倍 (40 mBq kg-1).
- 通过成功分析国际原子能机构能力测试水样,证明了方法的准确性和精度.
结论:
- 开发的ICP-QQQ-MS方法提供了一种简单,快速和高度敏感的方法,用于在自然水域中直接确定Ra-226.
- 该方法的性能超过现有的替代直接方法,并符合严格的监管要求.
- 这种经过验证的方法很容易用于例行分析和环境监测.
相关概念视频
Sampling Methods: Sample Types
3.1K
Sampling materials are classified into three main types: solid, liquid, and gas.
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
3.1K
Convenience Sampling Method
11.1K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
11.1K
Sampling Methods: Overview
3.3K
A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling.
In analytical chemistry, the choice of...
In analytical chemistry, the choice of...
3.3K
Systematic Sampling Method
12.7K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
Systematic sampling is one of the simplest methods...
12.7K
Stratified Sampling Method
14.7K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...
To choose a stratified sample, divide the population into groups called strata and then take a...
14.7K
Cluster Sampling Method
14.2K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
14.2K


