The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Universal molecular structures in natural dissolved organic matter
Open accessAbstract
Natural dissolved organic matter (DOM) comprises a broad range of dissolved organic molecules in aquatic systems and is among the most complex molecular mixtures known. Here we show, by comparing detailed structural fingerprints of individual molecular formulae in DOM from a set of four marine and one freshwater environments, that a major component of DOM is molecularly indistinguishable in these diverse samples. Molecular conformity was not only apparent by the co-occurrence of thousands of identical molecular formulae, but also by identical structural features of those isomers that collectively represent a molecular formula. The presence of a large pool of compounds with identical structural features in DOM is likely the result of a cascade of degradation processes or common synthetic pathways that ultimately lead to the formation of a universal background, regardless of origin and history of the organic material. This novel insight impacts our understanding of long-term turnover of DOM as the underlying mechanisms are possibly universal.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Vannote, R. L., Minshall, G. W., Cummins, K. W., Sedell, J. R., & Cushing, C. E. (1980) · Canadian Journal of Fisheries and Aquatic Sciences · doi:10.1139/f80-017 · Cited by 9,984
Cited by
Multiple Roles of Dissolved Organic Matter in Advanced Oxidation Processes
Yang, X., Rosario-Ortiz, F. L., Lei, Y., Pan, Y., Lei, X., & Westerhoff, P. (2022) · Environmental Science & Technology · doi:10.1021/acs.est.2c01017 · Cited by 459
Hu, J., Kang, L., Li, Z., Feng, X., Liang, C., Wu, Z., Zhou, W., Liu, X., Yang, Y., & Chen, L. (2023) · Nature Communications · doi:10.1038/s41467-023-39432-2 · Cited by 114
Metadata
- Authors
- Zark, M., & Dittmar, T.
- Venue
- Nature Communications
- Published
- 2018-08-09
- Volume
- 9
- Issue
- 1
- Pages
- 3178-3178
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2887156629
- Cited by
- 428
- References
- 1
- FWCI
- 14.27
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Universal molecular structures in natural dissolved organic matter. https://app.cochat.ai/papers/10.1038/s41467-018-05665-9
- The paper
- Zark, M., & Dittmar, T. (2018). Universal molecular structures in natural dissolved organic matter. Nature Communications. https://doi.org/10.1038/s41467-018-05665-9
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.