Evidence map›Paper›PMID 42862415›Full record

ArticleAntonie van Leeuwenhoek2026

Microbial degradation behaviour and interactions in efficient multi-compound VOCs removal.

Juping You, Jie Shao, Yuqi Duan, Yuanjun Guo, Zuxi Liu, Dongzhi Chen, Miaomiao Qu

Abstract read
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Article in Antonie van Leeuwenhoek, 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

7 authors.

Juping YouCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, China. youjp@zjou.edu.cn.
Jie ShaoZhejiang Key Laboratory of Pollution Control for Port-Petrochemical Industry, Zhejiang Ocean University, Zhoushan, 316022, China.
Yuqi DuanZhejiang Key Laboratory of Pollution Control for Port-Petrochemical Industry, Zhejiang Ocean University, Zhoushan, 316022, China.
Yuanjun GuoZhejiang Key Laboratory of Pollution Control for Port-Petrochemical Industry, Zhejiang Ocean University, Zhoushan, 316022, China.
Zuxi LiuZhejiang Key Laboratory of Pollution Control for Port-Petrochemical Industry, Zhejiang Ocean University, Zhoushan, 316022, China.
Dongzhi ChenZhejiang Key Laboratory of Pollution Control for Port-Petrochemical Industry, Zhejiang Ocean University, Zhoushan, 316022, China.
Miaomiao QuZhejiang Key Laboratory of Low-Carbon Control Technology for Industrial Pollution, Zhejiang University of Science and Technology, Hangzhou, 310063, China. qummiao@zust.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biodegradation efficiency of volatile organic compounds (VOCs) hinges primarily on microbial activity. In particular, extensive interaction behavior occurs among microbial species and VOCs-degrading microbial communities during the removal of multi-component VOCs. In this study, methyl mercaptan, dichloromethane, n-hexane and toluene were selected as representative VOCs, corresponding to sulfur-containing pollutants, chlorinated organics, alkanes and aromatics commonly found in multi-component waste gas from pharmaceutical and fine chemical industries. Suspension-cultured strains of Pseudomonas sp. SJ-1, Methylobacterium rhodesianum H13, Stenotrophomonas sp. HY-2, and Ralstonia sp. XZW-1 were used were selected as corresponding functional degraders. Reduction of VOCs in the headspace and increase of OD

Indexed as

BacteriaVolatile Organic CompoundsBiodegradation, EnvironmentalHexanesMethylene ChlorideMicrobial InteractionsSulfhydryl CompoundsTolueneHexanesMethylene Chloridemethylmercaptann-hexaneSulfhydryl CompoundsTolueneVolatile Organic CompoundsBiodegradation strainsInteractions behaviourMicrobial immobilizationMuti-VOCs

Identifiers

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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.