Evidence map›Paper›PMID 42720386›Full record

ArticleThe journal of physical chemistry. A2026

A Model to Derive Langmuir-Hinshelwood Parameters from Heterogeneous Uptake Experiments in a Fast Flow Reactor.

Egor V Demidov, Alexei F Khalizov

Abstract read
In one paragraph

Article in The journal of physical chemistry. A, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Egor V DemidovDepartment of Chemistry and Environmental Science, New Jersey Institute of Technology, Newark, New Jersey07102, United States.ORCID 0000-0003-3082-488X
Alexei F KhalizovDepartment of Chemistry and Environmental Science, New Jersey Institute of Technology, Newark, New Jersey07102, United States.ORCID 0000-0003-3817-7568

Funding

Division of Atmospheric and Geospace Sciences AGS-2222104
6 · The paper itself

Abstract

Heterogeneous interactions between reactive trace gases and aerosol particles alter both the atmospheric trace gas composition and the chemical properties of the participating particles. Incorporating these interactions into aerosol models requires kinetic parameters, which are often derived from uptake experiments in flow reactors and are typically limited to uptake coefficients. We present a framework that enables the extraction of a more fundamental set of kinetic parameters, including adsorption, desorption, and reaction rate constants, as well as the concentrations of adsorptive and reactive sites, directly from such uptake data. The framework is currently formulated for the Langmuir-Hinshelwood mechanism on a solid surface but can be readily extended to other mechanisms. The model for time-dependent gas-phase mass transfer and surface chemistry that this framework is based on was developed procedurally, starting from the most rigorous implementation and undergoing two major simplifications, enabling computationally efficient fitting to experimental data. Application of the framework was demonstrated by fitting the model to experimental uptake curves, deriving uptake coefficients and partitioning constants from fitted parameters at both experimental and atmospheric conditions. Finally, an analytical approach for predicting partitioning through reactive Langmuir-Hinshelwood uptake was derived that can improve the accuracy of treating partitioning in aerosol models at no additional computational cost.

Identifiers

PMID42720386
PMCPMC13573623

What OpenQuestion holds

Textmetadata
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.