使用复合泊松对数正态查找表和从标准单粒子ICP-TOFMS数据中恢复的参数精确阈值

IF 3.1 2区 化学 Q2 CHEMISTRY, ANALYTICAL
Thomas E. Lockwood, Raquel González de Vega, Lukas Schlatt and David Clases
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引用次数: 0

摘要

基于飞行时间(TOF)的仪器在单粒子电感耦合等离子体质谱(ICP-MS)中的应用正在迅速增长。虽然这些仪器与四极杆仪器相比具有关键优势,但在确定单颗粒分析的阈值时,它们提出了新的挑战。其中一个挑战是需要分析单离子区域(SIA),这对于单粒子数据集的准确阈值至关重要。然而,每个元素的SIA是不同的,并且在使用,时间和探测器校准期间会发生变化。需要快速有效的算法来自动确定SIA和预测阈值。在这里,我们引入了新的工具来研究和拟合具有对数正态分布的SIA,并用于确定单粒子ICP-TOFMS中的背景信号。首先,使用1010个随机值模拟计算复合泊松对数正态分位数查找表。这提高了大对数正态标准差阈值的准确性,并且比我们以前的方法快得多。为了方便使用,我们在数据处理软件SPCal中实现了它。我们还提出了一种方法,可以从原始离子和粒子数据中恢复阈值所需的SIA参数,从而在正常数据处理期间实现现场SIA拟合。该方法在不同的仪器、条件和质量下进行了模拟和实验测试。讨论了该方法的局限性,并确定了成功回收所需的条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Accurate thresholding using a compound-Poisson-lognormal lookup table and parameters recovered from standard single particle ICP-TOFMS data

Accurate thresholding using a compound-Poisson-lognormal lookup table and parameters recovered from standard single particle ICP-TOFMS data

The use of time-of-flight (TOF)-based instruments in single particle inductively coupled plasma-mass spectrometry (ICP-MS) is growing quickly. While these instruments have critical advantages over their quadrupole counterparts, they present new challenges when determining thresholding values in single particle analyses. One challenge is the need to analyse the single-ion area (SIA), which is essential for accurate thresholding in single particle data sets. However, the SIA is different for each element and changes across usage, time and during detector calibration. Rapid and effective algorithms are required to determine the SIA and predict thresholds automatically. Here we introduce new tools to investigate and fit the SIA with a lognormal distribution and, for determining background signal in single particle ICP-TOFMS. First, a lookup table of compound-Poisson-lognormal quantiles was computed using a simulation of 1010 random values. This improved accuracy of thresholds at large lognormal standard deviations and was significantly faster than our previous approach. To facilitate its use, we have implemented it into our data processing software, SPCal. We also present a method to recover the SIA parameters that are required for thresholding from both raw ionic and particle data, enabling on-site SIA fitting during normal data processing. This method was tested both in simulation and experimentally, across different instruments, conditions and masses. The limitations of the method are discussed and conditions required for successful recovery determined.

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来源期刊
CiteScore
6.20
自引率
26.50%
发文量
228
审稿时长
1.7 months
期刊介绍: Innovative research on the fundamental theory and application of spectrometric techniques.
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