Evidence map›Paper›PMID 36724500›Full record

ArticleEnvironmental science & technology2023

Description of Dissolved Organic Matter Transformational Networks at the Molecular Level.

Dennys Leyva, Muhammad Usman Tariq, Rudolf Jaffé, Fahad Saeed, Francisco Fernandez-Lima

Open access · greenAbstract read
In one paragraph

Article in Environmental science & technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
7.3field-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

6 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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

5 authors at 1 institution in 1 country.

Dennys LeyvaDepartment of Chemistry and Biochemistry, Florida International University, Miami, Florida33199, United States.
Muhammad Usman TariqSchool of Computing and Information Science, Florida International University, Miami, Florida33199, United States.
Rudolf JafféInstitute of Environment and Department of Chemistry and Biochemistry, Florida International University, Miami, Florida33199, United States.ORCID 0000-0001-6153-248X
Fahad SaeedSchool of Computing and Information Science, Florida International University, Miami, Florida33199, United States.
Francisco Fernandez-LimaDepartment of Chemistry and Biochemistry, Florida International University, Miami, Florida33199, United States.ORCID 0000-0002-1283-4390
Florida International University · US

Funding

Multimodal Machine-Learning and High Performance Computing Strategies for Big MS Proteomics DataR01GM134384 · NIGMS · FLORIDA INTERNATIONAL UNIVERSITY · PI SAEED, FAHAD · 2020 to 2022
$1.3M
NIGMS NIH HHS R01 GM134384
6 · The paper itself

Abstract

Dissolved Organic Matter (DOM) is an important component of the global carbon cycle. Unscrambling the structural footprint of DOM is key to understand its biogeochemical transformations at the mechanistic level. Although numerous studies have improved our knowledge of DOM chemical makeup, its three-dimensional picture remains largely unrevealed. In this work, we compare four solid phase extracted (SPE) DOM samples from three different freshwater ecosystems using high resolution mobility and ultrahigh-resolution Fourier transform ion cyclotron resonance tandem mass spectrometry (FT-ICR MS/MS). Structural families were identified based on neutral losses at the level of nominal mass using continuous accumulation of selected ions-collision induced dissociation (CASI-CID)FT-ICR MS/MS. Comparison of the structural families indicated dissimilarities in the structural footprint of this sample set. The structural family representation using Cytoscape software revealed characteristic clustering patterns among the DOM samples, thus confirming clear differences at the structural level (Only 10% is common across the four samples.). The analysis at the level of neutral loss-based functionalities suggests that hydration and carboxylation are ubiquitous transformational processes across the three ecosystems. In contrast, transformation mechanisms involving methoxy moieties may be constrained in estuarine systems due to extensive upstream lignin biodegradation. The inclusion of the isomeric content (mobility measurements at the level of chemical formula) in the structural family description suggests that additional transformation pathways and/or source variations are possible and account for the dissimilarities observed. While the structural character of more and diverse types of DOM samples needs to be assessed and added to this database, the results presented here demonstrate that Graph-DOM is a powerful tool capable of providing novel information on the DOM chemical footprint, based on structural interconnections of precursor molecules generated by fragmentation pathways and collisional cross sections.

Indexed as

Dissolved Organic MatterTandem Mass SpectrometryEcosystemFresh WaterHumansDissolved Organic MatterDOMFT-ICR CASI-CID MS/MSnetworkstructural familyTIMS-FT-ICR MS

Identifiers

PMID36724500
PMCPMC11834952
OpenAlexW4318821969

What OpenQuestion holds

Textmetadata
LicenceTDM
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.