Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 240

The DOI matches its Crossref record.

Framework for the Interpretation of Measurements of SOCs in Plants

McLachlan, Michael S.·1999·Environmental Science & Technology

Abstract

Plant uptake of semivolatile organic compounds (SOCs) occurs primarily from the atmosphere via one of three processes: equilibrium partitioning between the vegetation and the gas phase, kinetically limited gaseous deposition, or wet and dry particle-bound deposition. Each of these processes depends on different atmospheric concentrations, plant properties, and environmental variables. Hence, in interpreting measurements of SOCs in plants, it is imperative that the major process responsible for the accumulation of a given compound be known. Beginning with basic equations describing gaseous and particle-bound deposition to vegetation, a framework for identifying the major uptake process and further interpreting measurements of plant concentrations is developed. This framework makes use of the relative differences in accumulation behavior as a function of the octanol−air partition coefficient ( K OA ) of the chemical. The mathematical analysis leads to two interpretive tools, both log−log plots, one of the quotient of the vegetation and gas-phase concentrations vs K OA and one of the quotient of the vegetation and particle-bound concentrations vs the quotient of the particle-bound and gaseous concentrations. Each of these plots contains three distinct and easily recognizable segments, and each segment corresponds to one of the three deposition processes. When the experimental data are plotted and the three segments are identified, it is possible to determine the dominant uptake process for a given compound, and this in turn opens the door to further interpretation of the plant uptake behavior.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/es980831t

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.

A few free checks a day · papers already verified open instantly · results are public

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

See all 240

Metadata

Authors
McLachlan, M. S.
Venue
Environmental Science & Technology
Published
1999-04-02
Volume
33
Issue
11
Pages
1799-1804
ISSN
  • 0013-936X (ISSN-L)
  • 1520-5851
OpenAlex
W1985941042
Cited by
240
References
0
FWCI
8.14
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: Framework for the Interpretation of Measurements of SOCs in Plants. https://app.cochat.ai/papers/10.1021/es980831t
The paper
McLachlan, M. S. (1999). Framework for the Interpretation of Measurements of SOCs in Plants. Environmental Science & Technology. https://doi.org/10.1021/es980831t

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.