Systematic Assessment of Matrix Effect, Recovery, and Process Efficiency Using Three Complementary Approaches: Implications for LC-MS/MS Bioanalysis Applied to Glucosylceramides in Human Cerebrospinal Fluid

The evaluation of matrix effect, recovery, and process efficiency is essential in the validation of LC-MS/MS bioanalytical methods, as they impact assay accuracy, precision, and sensitivity. However, guidelines on bioanalytical method evaluation are not harmonized and can occasionally be ambiguous. To address this need, the study presents an integration of three different approaches to assess these parameters within a single experiment. The first approach examined the variability of peak areas and standard-to-internal standard (IS) ratios between different matrix lots to assess the influence of the analytical system, relative matrix effects, and recovery on method precision. The second strategy evaluates the influence of the overall process on analyte quantification. The third approach calculates both the absolute and relative values of matrix effect, recovery, and process efficiency, as well as their respective IS-normalized factors, to determine the extent to which the IS compensates for the variability introduced by the matrix and recovery fraction. Applying these strategies to an LC-MS/MS method for quantifying glucosylceramides in cerebrospinal fluid addresses the challenges posed by limited sample volume and endogenous analytes, while providing a comprehensive understanding of the factors that influence method performance and promoting adherence to different guideline recommendations. This study supports the importance of a systematic evaluation of matrix effect, recovery, and process efficiency during method validation. Standardized evaluation methodologies would improve data interpretation, enhance method reliability, and contribute to harmonization in in-house bioanalysis.

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Journal
ACS Omega
Published
2025-10-29
DOI
https://doi.org/10.1021/acsomega.5c05399
Citations
1
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.76
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article

Systematic Assessment of Matrix Effect, Recovery, and Process Efficiency Using Three Complementary Approaches: Implications for LC-MS/MS Bioanalysis Applied to Glucosylceramides in Human Cerebrospinal Fluid

Laura Castillo‐Ribelles, Marta Martínez‐Vicente, Jorge Hernández‐Vara, Roser Ferrer et al.
1 citations
ACS Omega
Advanced Proteomics Techniques and Applications
0.76
article

Systematic Assessment of Matrix Effect, Recovery, and Process Efficiency Using Three Complementary Approaches: Implications for LC-MS/MS Bioanalysis Applied to Glucosylceramides in Human Cerebrospinal Fluid

Laura Castillo‐Ribelles, Marta Martínez‐Vicente, Jorge Hernández‐Vara, Roser Ferrer, Clara Carnicer-Cáceres, Jose-Antonio Arranz-Amo
article en
1 citations

Abstract

The evaluation of matrix effect, recovery, and process efficiency is essential in the validation of LC-MS/MS bioanalytical methods, as they impact assay accuracy, precision, and sensitivity. However, guidelines on bioanalytical method evaluation are not harmonized and can occasionally be ambiguous. To address this need, the study presents an integration of three different approaches to assess these parameters within a single experiment. The first approach examined the variability of peak areas and standard-to-internal standard (IS) ratios between different matrix lots to assess the influence of the analytical system, relative matrix effects, and recovery on method precision. The second strategy evaluates the influence of the overall process on analyte quantification. The third approach calculates both the absolute and relative values of matrix effect, recovery, and process efficiency, as well as their respective IS-normalized factors, to determine the extent to which the IS compensates for the variability introduced by the matrix and recovery fraction. Applying these strategies to an LC-MS/MS method for quantifying glucosylceramides in cerebrospinal fluid addresses the challenges posed by limited sample volume and endogenous analytes, while providing a comprehensive understanding of the factors that influence method performance and promoting adherence to different guideline recommendations. This study supports the importance of a systematic evaluation of matrix effect, recovery, and process efficiency during method validation. Standardized evaluation methodologies would improve data interpretation, enhance method reliability, and contribute to harmonization in in-house bioanalysis.

ACS OmegaVol. 10(44)
Hebron University (PS), Universitat Autònoma de Barcelona (ES), Biomedical Research Networking Center on Neurodegenerative Diseases (ES), Vall d'Hebron Institut de Recerca (ES), Vall d'Hebron Hospital Universitari (ES), Kindeva Drug Delivery (United States) (US), Instituto de Química y Fisicoquímica Biológicas (AR), Neurology, Inc (US)
Openalex Percentile: Top 24%
Advanced Proteomics Techniques and Applications
0.76
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