Investigation of endogenous blood plasma phospholipids, cholesterol and glycerides that contribute to matrix effects in bioanalysis by liquid chromatography/mass spectrometry

摘要

Matrix effects caused by compounds endogenous to the biological sample are a primary challenge in quantitative LC/MS/MS bioanalysis. Many approaches have been developed to minimize matrix effects such as optimization of sample extraction procedures and use of isotopically labeled internal standards. Unexpected matrix components may still remain undetected, however, because of the selective mass transitions monitored during MS/MS analysis. Glycerophosphocholines are the major phospholipids in plasma that have been widely shown to cause significant matrix effects on electrospray ionization efficiencies for target analytes. The purpose of this work was to investigate potential matrix effects resulting from different endogenous lipid classes, including phospholipids, acylglycerols and cholesterols, in order to establish a library for the relative presence of these components in biological sample extracts obtained by commonly used sample preparation techniques. Thirteen compounds were selected which were representatives of eight phospholipids classes, mono, di, triacylglycerols, cholesterol and cholesterol esters. Post-column infusion experiments were carried out to compare relative ion suppression effects of these compounds. Chlorpheniramine and loratadine were selected as model test analytes. A Concentration Normalized Suppression Factor (%CNSF) was defined to allow comparison of ion suppression effects resulting from different endogenous lipids according to their typical concentrations in human plasma and erythrocytes. A simple LC/MS/MS method was developed to monitor these endogenous components in sample extracts and their extraction recoveries from a plasma pool were compared using protein precipitation, liquid-liquid extraction, supported-liquid extraction, solid phase extraction and Hybrid SPE-precipitation methods. Endogenous lipid components other than GPChos, such as cholesterols and triacylglycerols, may result in significant matrix effects and should be monitored during method development. No single extraction procedure was efficient in removing all of the various lipid components. Use of the results presented here, along with a consideration of analyte chemical structure, the type of matrix and the type of sample preparation procedure, may help a bioanalytical scientist to better anticipate and minimize matrix effects in developing LC/MS/MS-based methods.