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最小最大检验:一种客观的质谱判别方法。

The Min-Max Test: An Objective Method for Discriminating Mass Spectra.

机构信息

National Institute of Standards and Technology, Gaithersburg, Maryland 20899, United States.

出版信息

Anal Chem. 2021 Oct 5;93(39):13319-13325. doi: 10.1021/acs.analchem.1c03053. Epub 2021 Sep 23.

Abstract

Deciding whether the mass spectra of seized drug evidence and a reference standard are measurements of two different compounds is a central challenge in forensic chemistry. Normally, an analyst will collect mass spectra from the sample and a reference standard under identical conditions, compute a mass spectral similarity score, and make a judgment about the sample using both the similarity score and their visual interpretation of the spectra. This approach is inherently subjective and not ideal when a rapid assessment of several samples is necessary. Making decisions using only the score and a threshold value greatly improves analysis throughput and removes analyst-to-analyst subjectivity, but selecting an appropriate threshold is itself a nontrivial task. In this paper, we describe and evaluate the min-max test-a simple and objective method for classifying mass spectra that leverages replicate measurements from each sample to remove analyst subjectivity. We demonstrate that the min-max test has an intuitive interpretation for decision-making, and its performance exceeds thresholding with similarity scores even when the best performing threshold for a fixed dataset is prescribed. Determining whether the underlying framework of the min-max test can incorporate retention indices for objectively deciding whether spectra are measurements of the same compound is an ongoing work.

摘要

判断缴获的毒品证据和参考标准的质谱是否是两种不同化合物的测量值,是法医化学中的一个核心挑战。通常,分析人员将在相同条件下从样品和参考标准中收集质谱,计算质谱相似性得分,并根据相似性得分和对光谱的直观解释来对样品做出判断。当需要快速评估多个样品时,这种方法本质上是主观的,并不理想。仅使用得分和阈值做出决策可大大提高分析效率,并消除分析人员之间的主观性,但选择适当的阈值本身就是一项艰巨的任务。在本文中,我们描述并评估了 min-max 测试-一种利用每个样品的重复测量来消除分析人员主观性的简单而客观的分类质谱的方法。我们证明了 min-max 测试在决策方面具有直观的解释,即使对于固定数据集的最佳性能阈值,其性能也超过了相似度阈值。确定 min-max 测试的基础框架是否可以包含保留指数,以客观地判断光谱是否是同一化合物的测量值,这是一项正在进行的工作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3147/9817079/8592071ba6a1/nihms-1857441-f0002.jpg

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