The DOI matches its Crossref record.
Relationships between Structure and Binding Affinity of Humic Substances for Polycyclic Aromatic Hydrocarbons: Relevance of Molecular Descriptors
Abstract
Partition coefficients for the binding affinities of pyrene, fluoranthene, and anthracene to 26 different humic materials were determined by fluorescence quenching. Sources included isolated humic acids, fulvic acids, and combined humic and fulvic fractions from soil, peat, and freshwater as well as Aldrich humic acid. Each of the humic materials was characterized by elemental composition, ultraviolet absorbance at 280 nm, molecular weight, and for 19 samples, composition of main structural fragments determined by 13 C solution-state NMR. The magnitude of the K oc values correlated strongly with the independent descriptors of aromaticity of humic materials, including atomic H/C ratio, absorptivity at 280 nm, and three interdependent 13 C NMR descriptors (C Ar - H,R, ΣC Ar, ΣC Ar /ΣC Alk ). Statistical comparison of humic sources grouped by the origin revealed that binding affinities were best predicted by the 13 C NMR descriptors, with a slight prevalence of ΣC Ar /ΣC Alk ratio, while molecular weight was the poorest predictor. The latter produced either direct or inverse significant correlation with the K oc values depending upon the origin and/or fractional composition of the grouped humic materials.
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
Cited by
Phenanthrene Sorption to Sequentially Extracted Soil Humic Acids and Humins
Kang, S., & Xing, B. (2005) · Environmental Science & Technology · doi:10.1021/es0490828 · Cited by 317
Xiao, X., Chen, Z., & Chen, B. (2016) · Scientific Reports · doi:10.1038/srep22644 · Cited by 309
Metadata
- Authors
- Perminova, I. V., Grechishcheva, N. Y., & Petrosyan, V. S.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 1999-09-21
- Volume
- 33
- Issue
- 21
- Pages
- 3781-3787
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2036866249
- Cited by
- 290
- References
- 0
- FWCI
- 26.74
- 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: Relationships between Structure and Binding Affinity of Humic Substances for Polycyclic Aromatic Hydrocarbons: Relevance of Molecular Descriptors. https://app.cochat.ai/papers/10.1021/es990056x
- The paper
- Perminova, I. V., Grechishcheva, N. Y., & Petrosyan, V. S. (1999). Relationships between Structure and Binding Affinity of Humic Substances for Polycyclic Aromatic Hydrocarbons: Relevance of Molecular Descriptors. Environmental Science & Technology. https://doi.org/10.1021/es990056x
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.