Evidence map›Paper›PMID 41939382›Full record

ArticleACS omega2026

Plant Volatile Organic Compound Collection: Superior Odor-Trapping Efficiency of Mesoporous Carbons over Porous Polymers.

Guang-Yu Wang, Xin-Yi Li, Yu-Feng Qi, Yan Liu, Yunlong Wei, Li Chen

Abstract read
In one paragraph

Article in ACS omega, 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

6 authors.

Guang-Yu WangCollege of Life Sciences/Hebei Basic Science Center for Biotic Interactions, Hebei University, Baoding 071002, China.ORCID https://orcid.org/0009-0000-1796-6475
Xin-Yi LiCollege of Life Sciences/Hebei Basic Science Center for Biotic Interactions, Hebei University, Baoding 071002, China.
Yu-Feng QiCollege of Life Sciences/Hebei Basic Science Center for Biotic Interactions, Hebei University, Baoding 071002, China.
Yan LiuBeijing Kingbo Biotech Co., Ltd, Bejing 100012, China.
Yunlong WeiCollege of Life Sciences/Hebei Basic Science Center for Biotic Interactions, Hebei University, Baoding 071002, China.
Li ChenCollege of Life Sciences/Hebei Basic Science Center for Biotic Interactions, Hebei University, Baoding 071002, China.ORCID https://orcid.org/0000-0002-0394-4387

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dynamic headspace collection (DHC) using adsorbent matrices is a standard technique for capturing representative profiles of plant volatile organic compounds (VOCs). While solvent desorption (SD) of adsorbent-trapped VOCs facilitates downstream analysis, the optimal adsorbent selection for SD-DHC remains underexplored. This study systematically evaluated 6 carbon-based matrices, 3 commonly used porous polymers, and silica gel for SD-DHC applications. Adsorbent performance was assessed through adsorption capacity measurements using 34 synthetic VOC standards, breakthrough tests with two traps connected in series, residual analysis, and validation of efficiency by sampling VOCs from cut cabbage pieces and herbivore-damaged cotton seedlings. Results demonstrated that Carboxen 1000, Carbopack X, and Carbopack Z exhibited superior overall VOC collection capacity, minimal breakthrough, and low residual levels consistent with their large surface areas and optimized mesoporous structures. Validation tests confirmed the effectiveness of these adsorbents in capturing diverse plant VOC profiles, indicating significant application potential for complex plant volatile sampling.

Identifiers

PMID41939382
PMCPMC13044624

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Registered trials

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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.