Evidence map›Paper›PMID 38596456›Full record

ArticleWater research X2024

Modeling sorption of environmental organic chemicals from water to soils.

Zhizhen Zhang, Shenghong Wang, Trevor N Brown, Alessandro Sangion, Jon A Arnot, Li Li

Abstract read
In one paragraph

Article in Water research X, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

6 authors.

Zhizhen ZhangSchool of Public Health, University of Nevada, 1664, N. Virginia Street, Reno, NV 89557-274, United States.
Shenghong WangSchool of Public Health, University of Nevada, 1664, N. Virginia Street, Reno, NV 89557-274, United States.
Trevor N BrownARC Arnot Research & Consulting, Toronto, Ontario M4M 1W4, Canada.
Alessandro SangionARC Arnot Research & Consulting, Toronto, Ontario M4M 1W4, Canada.
Jon A ArnotARC Arnot Research & Consulting, Toronto, Ontario M4M 1W4, Canada.
Li LiSchool of Public Health, University of Nevada, 1664, N. Virginia Street, Reno, NV 89557-274, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reliable estimation of chemical sorption from water to solid phases is an essential prerequisite for reasonable assessments of chemical hazards and risks. However, current fate and exposure models mostly rely on algorithms that lack the capability to quantify chemical sorption resulting from interactions with multiple soil constituents, including amorphous organic matter, carbonaceous organic matter, and mineral matter. Here, we introduce a novel, generic approach that explicitly combines the gravimetric composition of various solid constituents and poly-parameter linear free energy relationships to calculate the solid-water sorption coefficient (

Indexed as

Amorphous organic matterMineral matterSoilSorptionSorption coefficient

Identifiers

PMID38596456
PMCPMC11002749

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.