Evidence map›Paper›PMID 40740330›Full record

ArticleFrontiers in microbiology2025

GC-IMS identification of early-warning biomarkers and fungal community dynamics during cigar tobacco mold process.

Ge Zhang, Kuo Huang, Qiuxuan Xie, Qingchang Li, Dong Li, Changwen Ye, Chen He, Hongru Xi, Wei Ding, Qingyuan Hu

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

10 authors.

Ge ZhangCenter of China Tobacco Standardization, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, China.
Kuo HuangCenter of China Tobacco Standardization, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, China.
Qiuxuan XieCenter of China Tobacco Standardization, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, China.
Qingchang LiCenter of China Tobacco Standardization, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, China.
Dong LiCenter of China Tobacco Standardization, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, China.
Changwen YeCenter of China Tobacco Standardization, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, China.
Chen HeCenter of China Tobacco Standardization, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, China.
Hongru XiCenter of China Tobacco Standardization, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, China.
Wei DingCollege of Plant Protection, Southwest University, Chongqing, China.
Qingyuan HuCenter of China Tobacco Standardization, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Mold-derived contamination in cigar tobacco leaves causes severe economic losses and health risks due to mycotoxin production. This study aimed to identify early-warning biomarkers for mold and elucidate their interaction with fungal communities. Method: Gas chromatography-ion mobility spectrometry (GC-IMS) combined with high-throughput sequencing was employed to profile volatile organic compounds (VOCs) and fungal communities during artificial molding. Results: A total of 72 VOCs were detected, with four compounds (2-methyl-1-butanol-M, 2-methyl-1-butanol-D, 2-propanone, and 1-penten-3-ol) identified as early-warning biomarkers through VIP > 1 and Discussion: These findings provide actionable biomarkers for industrial mold prevention and insights into fungal-VOC interaction, with implications for perishable crop storage.

Indexed as

Aspergilluscigar tobaccoearly-warning biomarkersfungal communityGC-IMSvolatile organic compounds

Identifiers

PMID40740330
PMCPMC12307484

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.