Evidence map›Paper›PMID 41012340›Full record

ArticleToxics2025

Inhibitory Effects of Aquadag, a Black Carbon Surrogate, on Microbial Growth via Surface-Mediated Stress: Evidence from Adenosine Triphosphate Assay.

Hwangyu Yoo, Saehee Lim, I Seul Cho, Haneul Im, Euna Lee, Siyoung Choi, Han-Suk Kim, Sohee Jeong, Younggyun Choi

Abstract read
In one paragraph

Article in Toxics, 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

9 authors.

Hwangyu YooDepartment of Environmental Engineering, Chungnam National University, Daejeon 34134, Republic of Korea.ORCID 0009-0006-2195-6740
Saehee LimDepartment of Environmental Engineering, Chungnam National University, Daejeon 34134, Republic of Korea.
I Seul ChoDepartment of Environmental IT Convergence Engineering, Chungnam National University, Daejeon 34134, Republic of Korea.ORCID 0009-0000-3179-7401
Haneul ImDepartment of Environmental IT Convergence Engineering, Chungnam National University, Daejeon 34134, Republic of Korea.ORCID 0009-0002-1330-4428
Euna LeeDepartment of Environmental IT Convergence Engineering, Chungnam National University, Daejeon 34134, Republic of Korea.
Siyoung ChoiDepartment of Environmental IT Convergence Engineering, Chungnam National University, Daejeon 34134, Republic of Korea.ORCID 0000-0003-4125-8756
Han-Suk KimDepartment of Earth and Environmental Sciences, Korea University, Seoul 02841, Republic of Korea.
Sohee JeongDepartment of Environmental IT Convergence Engineering, Chungnam National University, Daejeon 34134, Republic of Korea.
Younggyun ChoiDepartment of Environmental Engineering, Chungnam National University, Daejeon 34134, Republic of Korea.ORCID 0000-0002-0028-2090

Funding

Chungnam National University 2023-0560-01Chungnam National University PRIDE research instituteKorea Ministry of Environment Waste to energy recycling Human resource development ProjectNational Research Foundation of Korea NRF-2021R1C1C2011543National Research Foundation of Korea RS-2023-00249553
6 · The paper itself

Abstract

Black carbon (BC) from incomplete combustion sources including traffic emissions affects human health due to its physical characteristics and ubiquity in urban environments. We examined the effects of BC on microbial growth in the presence of particulate matter (PM), using Aquadag as a surrogate for BC. Brunauer-Emmett-Teller analysis showed BC had a specific surface area of 123.2 m

Indexed as

adenosine triphosphate (ATP)black carbonhuman healthmicrobial growthparticulate matter

Identifiers

PMID41012340
PMCPMC12473884

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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.