The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Ultrahigh Resolution Mass Spectrometry and Indicator Species Analysis to Identify Marker Components of Soil- and Plant Biomass-Derived Organic Matter Fractions
Abstract
The chemical properties of organic matter affect important soil processes such as speciation, solubilization, and transport of plant nutrients and metals. This work uses ultrahigh resolution electrospray ionization Fourier transform ion cyclotron resonance mass spectrometry to determine the molecular composition of three organic matter fractions of soils and aqueous extracts of crop biomass. Comparison of the van Krevelen plots allowed tracking the changes in organic matter with increasing humification. Aqueous plant biomass extracts contain a diverse mixture of lipids, proteins, and lignins. Soil aqueous extracts were marked by increases in lignin and carbohydrate components and decrease in the protein component as compared to the plant extract. Refractory humic acid fractions were marked by decrease in the lignin component and increases in the lipid and condensed aromatic components. The multivariate indicator species analysis was used to identify marker components of the four organic matter types investigated. The plant extract group had 772 marker components compared to 237 for soil aqueous extract, 92 for mobile humic acid, and 418 for calcium humic acid. This study demonstrates that ultrahigh resolution mass spectrometry and multivariate methods can be used to identify marker components to gain a molecular-scale description and understanding of C dynamics.
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
Molecular structure in soil humic substances: the new view
Sutton, R., & Sposito, G. (2005) · Environmental Science & Technology · doi:10.1021/es050778q · Cited by 1,316
Cited by
Ishii, S. K. L., & Boyer, T. H. (2012) · Environmental Science & Technology · doi:10.1021/es2043504 · Cited by 961
Yuan, Z., He, C., Shi, Q., Xu, C., Li, Z., Wang, C., Zhao, H., & Ni, J. (2017) · Environmental Science & Technology · doi:10.1021/acs.est.7b02194 · Cited by 426
Draper, J., Lloyd, A. J., Goodacre, R., & Beckmann, M. (2013) · Metabolomics · doi:10.1007/s11306-012-0449-x · Cited by 144
Qiu, L., Wu, J., Qian, Y., Nafees, M., Zhang, J., Du, W., Yin, Y., & Guo, H. (2021) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2021.126022 · Cited by 58
Wang, X., Wang, J., Li, K., Zhang, H., & Yang, M. (2018) · Journal of Environmental Sciences · doi:10.1016/j.jes.2017.03.020 · Cited by 58
Metadata
- Authors
- Ohno, T., He, Z., Sleighter, R. L., Honeycutt, C. W., & Hatcher, P. G.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-10-19
- Volume
- 44
- Issue
- 22
- Pages
- 8594-8600
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2020268193
- Cited by
- 277
- References
- 1
- FWCI
- 9.89
- Type
- journal article
- Language
- en
- Open access
- closed
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: Ultrahigh Resolution Mass Spectrometry and Indicator Species Analysis to Identify Marker Components of Soil- and Plant Biomass-Derived Organic Matter Fractions. https://app.cochat.ai/papers/10.1021/es101089t
- The paper
- Ohno, T., He, Z., Sleighter, R. L., Honeycutt, C. W., & Hatcher, P. G. (2010). Ultrahigh Resolution Mass Spectrometry and Indicator Species Analysis to Identify Marker Components of Soil- and Plant Biomass-Derived Organic Matter Fractions. Environmental Science & Technology. https://doi.org/10.1021/es101089t
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.
