Absolute quantification of polar metabolites using matrix-free calibration curves and post-column infusion of standards in HILIC-MS based metabolomics

Polar metabolites play essential roles in inflammation, immune regulation, and metabolism, and have emerged as important biomarkers in clinical research. However, accurate absolute quantification of these metabolites in complex biological matrices using hydrophilic interaction liquid chromatography-mass spectrometry (HILIC-MS) remains challenging, due to matrix effects that compromise measurement accuracy. While (stable isotope-labeled-) internal standards ((SIL-)IS) are commonly used to correct these effects, their limited availability and high cost can hinder their applicability. In this study, we present a robust approach using HILIC-MS coupled with post-column infusion of standards (PCIS) to enable absolute quantification of polar metabolites in plasma, using calibration curves prepared in neat solution without using SIL standards. First, the optimal PCIS for each metabolite was identified based on absolute matrix effect (AME) values, and method performance was systematically evaluated in terms of linearity, precision, accuracy, and matrix effects. Results showed that the PCIS approach consistently achieved comparable results to (SIL-)IS correction for analytes with SIL standards, and superior performance for analytes without available SIL standards. Application to a study cohort demonstrated consistency between this HILIC-PCIS-MS method and Nuclear Magnetic Resonance (NMR) quantification. Validation using NIST SRM 1950 plasma confirmed high quantification accuracy (80 % - 120 %) for most metabolites using a matrix-free calibration curve combined with PCIS in HILIC-MS. In summary, PCIS offers a promising and cost-effective alternative to (SIL-)IS correction, particularly benefiting metabolites lacking SIL standards, and provides a strategy for accurately correcting matrix effects and advancing quantitative metabolomics in complex biological matrices.

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Publication Details

Journal
Journal of Chromatography A
Published
2025-10-31
DOI
https://doi.org/10.1016/j.chroma.2025.466507
Citations
2
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
1.61
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article

Absolute quantification of polar metabolites using matrix-free calibration curves and post-column infusion of standards in HILIC-MS based metabolomics

Pascal Maas, Mengle Zhu, Lieke Lamont, Anne-Charlotte Dubbelman et al.
2 citations
Journal of Chromatography A
Metabolomics and Mass Spectrometry Studies
1.61
article

Absolute quantification of polar metabolites using matrix-free calibration curves and post-column infusion of standards in HILIC-MS based metabolomics

Pascal Maas, Mengle Zhu, Lieke Lamont, Anne-Charlotte Dubbelman, Amy C. Harms, Thomas Hankemeier, P. Eline Slagboom, Marian Beekman
article en
2 citations

Abstract

Polar metabolites play essential roles in inflammation, immune regulation, and metabolism, and have emerged as important biomarkers in clinical research. However, accurate absolute quantification of these metabolites in complex biological matrices using hydrophilic interaction liquid chromatography-mass spectrometry (HILIC-MS) remains challenging, due to matrix effects that compromise measurement accuracy. While (stable isotope-labeled-) internal standards ((SIL-)IS) are commonly used to correct these effects, their limited availability and high cost can hinder their applicability. In this study, we present a robust approach using HILIC-MS coupled with post-column infusion of standards (PCIS) to enable absolute quantification of polar metabolites in plasma, using calibration curves prepared in neat solution without using SIL standards. First, the optimal PCIS for each metabolite was identified based on absolute matrix effect (AME) values, and method performance was systematically evaluated in terms of linearity, precision, accuracy, and matrix effects. Results showed that the PCIS approach consistently achieved comparable results to (SIL-)IS correction for analytes with SIL standards, and superior performance for analytes without available SIL standards. Application to a study cohort demonstrated consistency between this HILIC-PCIS-MS method and Nuclear Magnetic Resonance (NMR) quantification. Validation using NIST SRM 1950 plasma confirmed high quantification accuracy (80 % - 120 %) for most metabolites using a matrix-free calibration curve combined with PCIS in HILIC-MS. In summary, PCIS offers a promising and cost-effective alternative to (SIL-)IS correction, particularly benefiting metabolites lacking SIL standards, and provides a strategy for accurately correcting matrix effects and advancing quantitative metabolomics in complex biological matrices.

Journal of Chromatography AVol. 1764
Leiden University (NL), Leiden University Medical Center (NL), Netherlands Metabolomics Centre (NL), Centre for Human Drug Research (NL)
Openalex Percentile: Top 14%
Metabolomics and Mass Spectrometry Studies
1.61
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