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Implications of sample treatment on characterization of riverine dissolved organic matter.

Authors :
Nelson AR
Toyoda J
Chu RK
Tolić N
Garayburu-Caruso VA
Saup CM
Renteria L
Wells JR
Stegen JC
Wilkins MJ
Danczak RE
Source :
Environmental science. Processes & impacts [Environ Sci Process Impacts] 2022 May 25; Vol. 24 (5), pp. 773-782. Date of Electronic Publication: 2022 May 25.
Publication Year :
2022

Abstract

High-resolution mass spectrometry techniques are widely used in the environmental sciences to characterize natural organic matter and, when utilizing these instruments, researchers must make multiple decisions regarding sample pre-treatment and the instrument ionization mode. To identify how these choices alter organic matter characterization and resulting conclusions, we analyzed a collection of 17 riverine samples from East River, CO (USA) under four PPL-based Solid Phase Extraction (SPE) treatment and electrospray ionization polarity ( e.g. , positive and negative) combinations: SPE (+), SPE (-), non-SPE (-), and non-SPE (+). The greatest number of formula assignments were achieved with SPE-treated samples due to the removal of compounds that could interfere with ionization. Furthermore, the SPE (-) treatment captured the most formulas across the widest chemical compound diversity. In addition to a reduced number of assigned formulas, the non-SPE datasets resulted in altered thermodynamic interpretations that could cascade into incomplete assumptions about the availability of organic matter pools for heterotrophic microbial respiration. Thus, we infer that the SPE (-) treatment is the best single method for characterizing environmental organic matter pools unless the focus is on lipid-like compounds, in which case we recommend a combination of SPE (-) and SPE (+) to adequately characterize these molecules.

Details

Language :
English
ISSN :
2050-7895
Volume :
24
Issue :
5
Database :
MEDLINE
Journal :
Environmental science. Processes & impacts
Publication Type :
Academic Journal
Accession number :
35416230
Full Text :
https://doi.org/10.1039/d2em00044j