About detectability and limits of detection in single particle inductively coupled plasma mass spectrometry
About detectability and limits of detection in single particle inductively coupled plasma mass spectrometry
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DOI：
10.1016/j.sab.2020.105883
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发表时间：
2020-07-01
影响因子：
3.3
通讯作者：
Castillo, Juan R.
中科院分区：
文献类型：
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作者：
Laborda, Francisco;Gimenez-Ingalaturre, Ana C.;Castillo, Juan R.
单粒子电感耦合等离子体质谱（SP-ICP-MS）提供了独特的粒子检测功能，以及它们的定量和尺寸表征。因此SPICP-MS的检测能力不仅限于浓度域（颗粒和溶解的相关物质），而且还限于每个颗粒的元素质量和粒度域。粒子事件的鉴别和检测，基于使用稳健的决策极限（也称为临界值），以及在不同域中对检测极限的估计，需要尚未明确建立的标准化的可预测方法。因此，需要有统一的方法和表述，以便对各种方法和仪器进行可靠的比较，并处理SP-ICP-MS数据。本文试图总结和审查的不同方法应用到现在的SP-ICP-MS中的可检测性，并突出这一主题在SP-ICP-MS的特点。一个整体的方法与标准和表达式的估计不同的临界值和检测限的不同的仪器和实验参数。此外，还包括用于估计和预测不同实验条件下的临界值和检测限的计算工具。
Single particle inductively coupled plasma mass spectrometry (SP-ICP-MS) offers unique features for the detection of particles, as well as for their quantification and size characterization. The detection capabilities of SPICP-MS are therefore not only limited to the concentration domains (of particles and dissolved related species), but also to the mass of element per particle and particle size domains. Discrimination and detection of particle events, based on the use of robust limits of decision (also known as critical values), and the estimation of the limits of detection in the different domains, require standardized metrological approaches that have not been clearly established yet. As a consequence, harmonized approaches and expressions to allow reliable comparisons between methods and instruments, as well as to process SP-ICP-MS data, are required. This paper is an attempt to summarize and review the different approaches applied up to now in relation to the detectability in SP-ICP-MS, and highlight the peculiarities of this topic in SP-ICP-MS. A holistic approach with criteria and expressions for the estimation of the different critical values and limits of detection in terms of the different instrumental and experimental parameters involved is proposed. Additionally, a calculation tool for estimating and predicting critical values and limits of detection under different experimental conditions is also included.