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

• Authors: Parinya Panuwet, Emory University; Ronald E. Hunter, Jr., Emory University; Priya E. D’Souza, Emory University; Xianyu Chen, Emory University; Samantha A. Radford, Emory University; Jordan R. Cohen, Emory University; M. Elizabeth Marder, Emory University; Kostya Kartavenka, Emory University; P Barry Ryan, Emory University; Dana Barr, Emory University
• Journal Title: Critical Reviews in Analytical Chemistry
• Volume: Volume 46, Number 2
• Publisher: Taylor & Francis | 2016-03-03, Pages 93-105
• Type of Work: Article | Post-print: After Peer Review
• Publisher DOI: http://doi.org/10.1080/10408347.2014.980775
• Subjects: Chemistry, Analytical; Health Sciences, General; Health Sciences, Public Health
• Keywords: Chemistry; tandem mass-spectrometry; Analytical method development; matrix effects; biomonitoring; biological analysis; HUMAN URINE; ION SUPPRESSION; ELECTROSPRAY-IONIZATION; GAS-CHROMATOGRAPHY; ORGANOPHOSPHORUS PESTICIDES; SIGNAL SUPPRESSION; SAMPLE PREPARATION; BIOANALYSIS

Abstract

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.