MALDI Matrix: Origins, Innovations, and Frontiers

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Authors: Ran Wu, Rui Liu, Hao Hu, Liang Qin, Lulu Chen, Zhibin Bao, Jinxiang Fu, Hua Guo, Lei Wang, Anna L. Wang, Zihan Wang, Chenyu Yang
+7 more Xiangrui Cheng, Difan Chen, Haiqiang Liu, Yanping Jing, Shuai Guo, Yujie Fu, Xiaodong Wang
Cited by: 23
References: 1,391

Abstract

Matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) and its imaging variant (MALDI-MSI) are pivotal analytical tools for biological sample analysis, allowing detection and visualization of diverse biomolecules. At the heart of MALDI-MS/MSI performance lies the crucial yet often empirically determined choice of matrix. A suitable matrix not only boosts analyte ionization efficiency but also enhances sensitivity, salt tolerance, and overall applicability, which are key for specific compound detection. To date, a cumulative total of 467 matrices have been successfully discovered and developed. However, merely a handful of them have achieved widespread utilization, which strongly suggests that there remains a substantial reservoir of untapped potential within this domain. This review offers a systematic and comprehensive overview of MALDI matrices over four decades (1985-present). It starts by outlining MALDI-MS analysis principles and procedures, providing a basis for understanding matrix functions. Then, matrices are systematically classified according to their features. We also spotlight recent matrix applications in MALDI-MS detection and imaging in proteomics, lipidomics, metabolomics, glycomics, nucleic acid analysis, and quantitative analysis. Finally, we chart future research directions, aiming to unlock the full potential of matrices in this dynamic field.

Fields of Study & Subjects

Mass Spectrometry Techniques and Applications Metabolomics and Mass Spectrometry Studies Advanced Proteomics Techniques and Applications

Publication details

Journal / source
Chemical Reviews
Publisher
American Chemical Society (ACS)
Volume
126
Issue
5
Pages
3324–3528
Publication date
3 February 2026
Language
EN