Evidence map›Paper›PMID 26563709›Full record

ArticleRapid communications in mass spectrometry : RCM2015

An ultrahigh-resolution mass spectrometry index to estimate natural organic matter lability.

Juliana D'Andrilli, William T Cooper, Christine M Foreman, Alan G Marshall

Open access · hybridAbstract read
In one paragraph

Article in Rapid communications in mass spectrometry : RCM, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
10.3field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 470 citations in OpenAlex.

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  20. Microplastics Generate Less Mineral Protection of Soil Carbon and More COAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Juliana D'AndrilliDepartment of Chemical and Biological Engineering, Montana State University, Bozeman, MT, 59717, USA.ORCID http://orcid.org/0000-0002-3352-2564
William T CooperDepartment of Chemistry & Biochemistry, Florida State University, Tallahassee, FL, 32306, USA.
Christine M ForemanDepartment of Chemical and Biological Engineering, Montana State University, Bozeman, MT, 59717, USA.
Alan G MarshallDepartment of Chemistry & Biochemistry, Florida State University, Tallahassee, FL, 32306, USA.
Florida State University · USMontana State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleDetermining the chemical constituents of natural organic matter (NOM) by Fourier Transform Ion Cyclotron Resonance Mass Spectrometry (FTICRMS) remains the ultimate measure for probing its source material, evolution, and transport; however, lability and the fate of organic matter (OM) in the environment remain controversial. FTICRMS-derived elemental compositions are presented in this study to validate a new interpretative method to determine the extent of NOM lability from various environments.

methodsFTICRMS data collected over the last decade from the same 9.4 tesla instrument using negative electrospray ionization at the National High Magnetic Field Laboratory in Tallahassee, Florida, was used to validate the application of a NOM lability index. Solid-phase extraction cartridges were used to isolate the NOM prior to FTICRMS; mass spectral peaks were calibrated internally by commonly identified NOM homologous series, and molecular formulae were determined for NOM composition and lability analysis.

resultsA molecular lability boundary (MLB) was developed from the FTICRMS molecular data, visualized from van Krevelen diagrams, dividing the data into more and less labile constituents. NOM constituents above the MLB at H/C ≥1.5 correspond to more labile material, whereas NOM constituents below the MLB, H/C <1.5, exhibit less labile, more recalcitrant character. Of all marine, freshwater, and glacial environments considered for this study, glacial ecosystems were calculated to contain the most labile OM.

conclusionsThe MLB extends our interpretation of FTICRMS NOM molecular data to include a metric of lability, and generally ranked the OM environments from most to least labile as glacial > marine > freshwater. Applying the MLB is useful not only for individual NOM FTICRMS studies, but also provides a lability threshold to compare and contrast molecular data with other FTICRMS instruments that survey NOM from around the world.

Indexed as

Antarctic RegionsComplex MixturesFresh WaterSeawaterSpectrometry, Mass, Electrospray IonizationSpectroscopy, Fourier Transform InfraredComplex Mixtures

Identifiers

PMID26563709
PMCPMC4654268
OpenAlexW2135241420

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.