TY - JOUR
T1 - Analyte recovery in LC-MS/MS bioanalysis
T2 - An old issue revisited
AU - Kumar, Devendra
AU - Gautam, Nagsen
AU - Alnouti, Yazen
N1 - Publisher Copyright:
© 2022
PY - 2022/3/15
Y1 - 2022/3/15
N2 - There are several challenges associated with LC-MS/MS bioanalytical method development and validation. Low and variable recovery of some analytes, especially the more hydrophobic ones, is often challenging. Analytes can be lost to various extents throughout the process of sample collection, storage, before, during, and/or after sample preparation and analysis. The calculation of overall extraction recovery can detect problems of low recovery during sample preparation but does not identify the source(s) of analyte losses. Low overall analyte recovery is the net result of losses that can happen for multiple reasons at all steps of sample preparation and analysis. Therefore, identifying the source(s) of analyte loss during sample preparation can help guide the optimization the bioanalysis conditions to minimize these losses. In this article we propose a practical protocol to systematically identify and quantify the sources of low analyte recovery. This allows the proper choice of strategies to optimize the relevant bioanalytical conditions to minimize analyte losses and improve overall recovery.
AB - There are several challenges associated with LC-MS/MS bioanalytical method development and validation. Low and variable recovery of some analytes, especially the more hydrophobic ones, is often challenging. Analytes can be lost to various extents throughout the process of sample collection, storage, before, during, and/or after sample preparation and analysis. The calculation of overall extraction recovery can detect problems of low recovery during sample preparation but does not identify the source(s) of analyte losses. Low overall analyte recovery is the net result of losses that can happen for multiple reasons at all steps of sample preparation and analysis. Therefore, identifying the source(s) of analyte loss during sample preparation can help guide the optimization the bioanalysis conditions to minimize these losses. In this article we propose a practical protocol to systematically identify and quantify the sources of low analyte recovery. This allows the proper choice of strategies to optimize the relevant bioanalytical conditions to minimize analyte losses and improve overall recovery.
KW - Bioanalytical method
KW - LC-MS/MS
KW - Matrix effect
KW - Recovery
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U2 - 10.1016/j.aca.2022.339512
DO - 10.1016/j.aca.2022.339512
M3 - Article
C2 - 35190119
AN - SCOPUS:85123954816
SN - 0003-2670
VL - 1198
JO - Analytica Chimica Acta
JF - Analytica Chimica Acta
M1 - 339512
ER -