MSACL 2017 US Abstract

Understanding Matrix Effects Experiments

Grace van der Gugten (Presenter)
St Paul's Hospital

Authorship: J. Grace van der Gugten
St. Paul’s Hospital, Department of Pathology and Laboratory Medicine, Vancouver, Canada

Short Abstract

Liquid chromatography-tandem mass spectrometry is highly specific and sensitive, allowing for the measurement of many endogenous and exogenous compounds in biological matrices. Biological matrices are “dirty”, and can cause suppression or enhancement of the signal for the analyte(s) of interest: This is referred to as ‘matrix effects’, which must be assessed during LC-MS/MS method development and validation. This presentation will describe matrix effects, discuss qualitative and quantitative matrix effects experiments, and give examples of each type. Detailed examples of the quantitative matrix effects pre and post spike calculations and results will be shown.

Long Abstract

Liquid chromatography-tandem mass spectrometry (LC-MS/MS) is highly specific and sensitive, allowing for the measurement of endogenous compounds such as steroids and proteins, and xenobiotics and their metabolites in biological matrices. However, biological matrices are “dirty”, and can cause suppression or enhancement of the signal for the analyte(s) of interest: This is referred to as ‘matrix effects’, which must be assessed during LC-MS/MS method development and validation.

This presentation will describe matrix effects, discuss the qualitative and quantitative matrix effects experiments, and give examples of each type. Detailed examples of the quantitative matrix effects pre and post spike calculations as well as results from matrix effects experiments performed in our laboratory will be shown.

Learning objectives:

- Understand what matrix effects are and why they must be assessed

- Understand the purpose of post column infusion experiment and how to perform it

- Understand the purpose of phospholipid monitoring and how to perform

- Understand the calculations involved in the quantitative matrix effects experiment and what %ME, %RE and %PE show about the assay.


References & Acknowledgements:


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