Evidence map›Paper›PMID 41127846›Full record

ArticleEnvironment & health (Washington, D.C.)2025

Oxidation Mechanism and Kinetics of γ‑Terpinene in the Indoor Atmosphere.

Ahmad Jahanzab, Zihao Fu, Hui Zhao, Jingwen Chen, Hong-Bin Xie

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Environment & health (Washington, D.C.), 2025. 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

5 authors.

Ahmad JahanzabKey Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China.
Zihao FuState Key Laboratory of Regional Environment and Sustainability, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.
Hui ZhaoKey Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China.
Jingwen ChenKey Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China.ORCID https://orcid.org/0000-0002-5756-3336
Hong-Bin XieKey Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China.ORCID https://orcid.org/0000-0002-9119-9785

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

γ-terpinene is widely used in personal care and household cleaning products. The gas-phase oxidation mechanism of γ-terpinene is essential for understanding its influence on atmospheric chemistry and its implications for human health. Utilizing quantum chemical calculations and computational toxicology simulations, we examined the •OH-mediated atmospheric transformation and toxicological progression of γ-terpinene in the indoor environment. The results indicate that •OH additions are the dominant pathways for the reaction of •OH + γ-terpinene. The most favorable reactive intermediates formed from the •OH-addition reactions subsequently react with O

Indexed as

atmospheric autoxidationcomputational toxicologyindoor pollution•OH-initiatedsecondary organic aerosol (SOA)volatile chemical products (VCPs)

Identifiers

PMID41127846
PMCPMC12538334

What OpenQuestion holds

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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.