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Post column infusion of an internal standard into LC-FT-ICR MS enables semi-quantitative comparison of dissolved organic matter in original samples.

Authors :
Rodrigues Matos, Rebecca
Jennings, Elaine K.
Kaesler, Jan
Reemtsma, Thorsten
Koch, Boris P.
Lechtenfeld, Oliver J.
Source :
Analyst. 6/21/2024, Vol. 149 Issue 12, p3468-3478. 11p.
Publication Year :
2024

Abstract

Ultrahigh resolution mass spectrometry hyphenated with liquid chromatography (LC) is an emerging tool to explore the isomeric composition of dissolved organic matter (DOM). However, matrix effects limit the potential for semi-quantitative comparison of DOM molecule abundances across samples. We introduce a post-column infused internal standard (PCI-IS) for reversed-phase LC-FT-ICR MS measurements of DOM and systematically evaluate matrix effects, detector linearity and the precision of mass peak intensities. Matrix effects for model compounds spiked into freshwater DOM samples ranging from a headwater stream to a major river were reduced by 5ā€“10% for PCI-IS corrected mass peak intensities as compared to raw (i.e., untransformed) intensities. A linear regression of PCI-IS corrected DOM mass peak intensities across a typical DOM concentration range (2ā€“15 mg dissolved organic carbon Lāˆ’1) in original, non-extracted freshwater samples demonstrates excellent linearity of the detector response (r2 > 0.9 for 98% of detected molecular formulas across retention times). Importantly, PCI-IS could compensate for 80% of matrix effects across an environmental gradient of DOM composition from groundwater to surface water. This enabled studying the ionization efficiency of DOM isomers and linking the observed differences to the biogeochemical sources. With PCI-IS original, non-extracted DOM samples can be analysed by LC-FT-ICR MS without carbon load adjustment, and mass peak intensities can be reliably used to semi-quantitatively compare isomer abundances between compositionally similar DOM samples. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00032654
Volume :
149
Issue :
12
Database :
Academic Search Index
Journal :
Analyst
Publication Type :
Academic Journal
Accession number :
177774599
Full Text :
https://doi.org/10.1039/d4an00119b