Assessment of matrix effects in quantitative GC-MS by using isotopologs

IF 2.6 4区生物学 Q2 BIOCHEMICAL RESEARCH METHODS

Analytical biochemistry Pub Date : 2025-06-27 DOI:10.1016/j.ab.2025.115928

Dimitrios Tsikas

引用次数: 0

Abstract

In quantitative analyses, thousands of compounds are extracted from a biological matrix in addition to the analytes of interest and can affect their quantification by many different effects. They are widely known as matrix effects (ME). A frequently used approach in LC-MS/MS to quantify ME is performing two series of analyses, that is 1) in the biological sample, and 2) in analyte solutions in water, organic solvents and/or in mixtures of them, and by comparing the slope values of the two standard curves. This article suggests a new approach for the quantification of ME in GC-MS using isotopologs, namely their specific peak area. The approach is exemplified for amino acids, representing an important group of physiological substances, for human serum and urine, two capital matrices in biological analysis.

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同位素定量GC-MS中基质效应的评价

在定量分析中，除了感兴趣的分析物外，还可以从生物基质中提取数千种化合物，并且可以通过许多不同的效应影响其定量。它们被广泛地称为矩阵效应（ME）。LC-MS/MS中量化ME的常用方法是执行两个系列的分析，即1)在生物样品中，2)在水、有机溶剂和/或它们的混合物中的分析物溶液中，并通过比较两个标准曲线的斜率值。本文提出了一种新的气相色谱-质谱定量ME的方法，即其比峰面积。该方法是例证氨基酸，代表一组重要的生理物质，为人类血清和尿液，在生物分析的两个主要基质。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Analytical biochemistry 生物-分析化学

CiteScore

5.70

自引率

0.00%

发文量

283

审稿时长

44 days

期刊介绍： The journal''s title Analytical Biochemistry: Methods in the Biological Sciences declares its broad scope: methods for the basic biological sciences that include biochemistry, molecular genetics, cell biology, proteomics, immunology, bioinformatics and wherever the frontiers of research take the field. The emphasis is on methods from the strictly analytical to the more preparative that would include novel approaches to protein purification as well as improvements in cell and organ culture. The actual techniques are equally inclusive ranging from aptamers to zymology. The journal has been particularly active in: -Analytical techniques for biological molecules- Aptamer selection and utilization- Biosensors- Chromatography- Cloning, sequencing and mutagenesis- Electrochemical methods- Electrophoresis- Enzyme characterization methods- Immunological approaches- Mass spectrometry of proteins and nucleic acids- Metabolomics- Nano level techniques- Optical spectroscopy in all its forms. The journal is reluctant to include most drug and strictly clinical studies as there are more suitable publication platforms for these types of papers.