4.6 Review

Biological Matrix Effects in Quantitative Tandem Mass Spectrometry-Based Analytical Methods: Advancing Biomonitoring

期刊

CRITICAL REVIEWS IN ANALYTICAL CHEMISTRY
卷 46, 期 2, 页码 93-105

出版社

TAYLOR & FRANCIS INC
DOI: 10.1080/10408347.2014.980775

关键词

tandem mass-spectrometry; Analytical method development; matrix effects; biomonitoring; biological analysis

资金

  1. American Recovery and Reinvestment Act under NIH [5RC1ES01829902]
  2. National Children's Study [HHSN267200700007C]
  3. PBDE Body Burdens, House Dust Concentrations, and Associations with Thyroid Hormones under NIH [1R21ES019697-01]
  4. Emory Parkinson's disease Collaborative Environmental Research Center under NIEHS [P01 ES016731]
  5. HERCULES: Health and Exposome Research Center at Emory University under NIEHS [1P30ES019776-01A1]
  6. Graduate and Postdoctoral Training in Toxicology NIH grant [T32 ES012870]

向作者/读者索取更多资源

The ability to quantify levels of target analytes in biological samples accurately and precisely in biomonitoring involves the use of highly sensitive and selective instrumentation such as tandem mass spectrometers and a thorough understanding of highly variable matrix effects. Typically, matrix effects are caused by co-eluting matrix components that alter the ionization of target analytes as well as the chromatographic response of target analytes, leading to reduced or increased sensitivity of the analysis. Thus, before the desired accuracy and precision standards of laboratory data are achieved, these effects must be characterized and controlled. Here we present our review and observations of matrix effects encountered during the validation and implementation of tandem mass spectrometry-based analytical methods. We also provide systematic, comprehensive laboratory strategies needed to control challenges posed by matrix effects in order to ensure delivery of the most accurate data for biomonitoring studies assessing exposure to environmental toxicants.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据