Comparability of Liquid Chromatography Tandem Mass Spectrometry Analysis of Dissolved Organic Matter across Laboratories

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Authors: Jarmo-Charles J Kalinski, Bruno Ruiz Brandão da Costa, T Schramm, Lance R. Buckett, Laura T. Carlson, Nicole Coffey, Tito Damiani, Elias Dechent, Yasin El Abiead, Steffen Heuckeroth, Elaine K. Jennings, Jan Kaesler
+39 more Naomi L. Stock, Alice May Orme, Ralph R. Torres, Sara Trojahn, Helen L. Whelton, Yingfei Yan, Allegra Aron, Rene Boiteau, Ian D. Bull, Pieter C. Dorrestein, Duc Huy Dang, Richard P. Evershed, Marta Gledhill, Gerd Gleixner, Andreas F. Haas, Martin Hansen, Tilmann Harder, Ellen C. Hopmans, Anitra E. Ingalls, Uwe Karst, William Stephen Webster Kew, Melissa Kido Soule, Boris Koch, Elizabeth B. Kujawinski, Oliver J. Lechtenfeld, Krista Longnecker, Tomáš Pluskal, Georg Pohnert, Zachary C. Redman, Albert Rivas‐Ubach, Schmitt-Kopplin Philippe, Gabriel Singer, Jan Tebben, Patrick L. Tomco, Nicholas Ward, Lihini I. Aluwihare, Carsten Simon, Jeffrey A. Hawkes, Daniel Petras
Cited by: 4
References: 52

Abstract

Non-targeted liquid chromatography tandem high-resolution mass spectrometry (LC-MS/MS) is increasingly applied for the structure-resolved chemical analysis of dissolved organic matter (DOM). With new developments in MS instrumentation and analysis software, the approach has gained substantial momentum over the past decade. However, achieving high-quality analytical data that is reproducible and comparable across laboratories can be a bottleneck in non-targeted metabolomics and organic matter chemical analysis, especially for data reuse in repository-scale analyses. Understanding the capabilities as well as challenges of comparing LC-MS/MS data from different laboratories is necessary for inferring global trends from public data sets. To illuminate instrumentation factors that drive differences and variability, we used a standardized data analysis pipeline, including classical (CMN) and feature-based molecular networking (FBMN), to analyze data from a ring trial by 24 laboratories on identical sample sets of algal and DOM extracts that were mixed in predefined concentrations and spiked with standards. Our results showed that data sets from similar mass spectrometer types with unified instrument parameters were qualitatively comparable, resolving the same general trends and shared mass spectral features. Interlaboratory comparability was best for high-intensity features, while low-intensity features showed greater detection variability. Our analysis also highlights challenges when comparing data from instruments with different acquisition rates or operating with less standardized methods. Lastly, we provide recommendations for data integration, public data sharing, standardization, and best practices for standardized LC-MS/MS data acquisition, which will be critical for long-term time series and intercomparability of DOM chemical analyses.

Fields of Study & Subjects

Metabolomics and Mass Spectrometry Studies Marine and coastal ecosystems Advanced Proteomics Techniques and Applications

Publication details

Journal / source
Environmental Science & Technology
Publisher
American Chemical Society (ACS)
Volume
60
Issue
6
Pages
4814–4829
Publication date
6 February 2026
Language
EN