Evidence map›Paper›PMID 39735193›Full record

ArticleFrontiers in microbiology2024

The impact of gradient variable temperature fermentation on the quality of cigar tobacco leaves.

Qianying Zhang, Yang Huang, Hongyue An, Shuanghong Yang, Jinshan Lei, Yue Wang, Pinhe Li, Hongfei Zhang, Wen Cai, Yun Jia and 2 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Microbial community assembly in the fermentation of cigar tobacco leaves.Frontiers in bioengineering and biotechnology · 2026
    Review
  5. Article
  6. 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

12 authors.

Qianying ZhangCigar Fermentation Technology Key Laboratory of China Tobacco, Cigar Technology Innovation Center of China Tobacco, China Tobacco Sichuan Industrial Co., Ltd., Chengdu, China.
Yang HuangCigar Fermentation Technology Key Laboratory of China Tobacco, Cigar Technology Innovation Center of China Tobacco, China Tobacco Sichuan Industrial Co., Ltd., Chengdu, China.
Hongyue AnCigar Fermentation Technology Key Laboratory of China Tobacco, Cigar Technology Innovation Center of China Tobacco, China Tobacco Sichuan Industrial Co., Ltd., Chengdu, China.
Shuanghong YangCigar Fermentation Technology Key Laboratory of China Tobacco, Cigar Technology Innovation Center of China Tobacco, China Tobacco Sichuan Industrial Co., Ltd., Chengdu, China.
Jinshan LeiCigar Fermentation Technology Key Laboratory of China Tobacco, Cigar Technology Innovation Center of China Tobacco, China Tobacco Sichuan Industrial Co., Ltd., Chengdu, China.
Yue WangCigar Fermentation Technology Key Laboratory of China Tobacco, Cigar Technology Innovation Center of China Tobacco, China Tobacco Sichuan Industrial Co., Ltd., Chengdu, China.
Pinhe LiCigar Fermentation Technology Key Laboratory of China Tobacco, Cigar Technology Innovation Center of China Tobacco, China Tobacco Sichuan Industrial Co., Ltd., Chengdu, China.
Hongfei ZhangChina National Tobacco Quality Supervision and Test Centre, Zhengzhou, China.
Wen CaiCigar Fermentation Technology Key Laboratory of China Tobacco, Cigar Technology Innovation Center of China Tobacco, China Tobacco Sichuan Industrial Co., Ltd., Chengdu, China.
Yun JiaCigar Fermentation Technology Key Laboratory of China Tobacco, Cigar Technology Innovation Center of China Tobacco, China Tobacco Sichuan Industrial Co., Ltd., Chengdu, China.
Yongqiang PangChina National Tobacco Quality Supervision and Test Centre, Zhengzhou, China.
Dongliang LiCigar Fermentation Technology Key Laboratory of China Tobacco, Cigar Technology Innovation Center of China Tobacco, China Tobacco Sichuan Industrial Co., Ltd., Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In order to enhance the quality of cigar tobacco leaves (CTLs), a gradient variable temperature fermentation approach was employed. Methods: The temperature gradient demonstrated a gradual increase from low temperature (35 ± 2°C) to moderate temperature (45 ± 2°C), and then to high temperature (55 ± 2°C). Each temperature gradient underwent a 10-day fermentation process, resulting in a total duration of 30 days. Changes in sensory evaluation, chemical composition, and bacterial absolute quantitative structure and function were examined throughout the process of gradient variable temperature fermentation. Results: Compared to constant temperature fermentation, gradient variable temperature fermentation improved the sensory quality of CTLs, reduced total sugar and cembrane degradation products, and increased the amino acid contents. It resulted in significant changes in bacterial quantity and function of CTLs, but had no significant effects on the richness and diversity of bacterial communities. The results of correlation analyses showed that sensory quality had significant correlation with chemical composition, which effected by predominant microbes. The gradient variable temperature fermentation process underwent a three-phase model to characterize the alterations of CTLs. Phase I (35°C) was the microbial stage, during which there was a significant decrease in both the total number and function of microorganisms. The dominant genera shifted from Conclusion: The gradient variable temperature fermentation had demonstrated a significant positive influence on the quality of CTL by providing optimal fermentation temperature for microbial growth, metabolism, and the generation of quality-related chemical compositions.

Indexed as

bacterial communitychemical componentcigar tobacco leaf (CTL)correlation analysisgradient variable temperature fermentation

Identifiers

PMID39735193
PMCPMC11672604

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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.