Evidence map›Paper›PMID 38647645›Full record

ArticleBioresources and bioprocessing2024

Integrated characterization of filler tobacco leaves: HS-SPME-GC-MS, E-nose, and microbiome analysis across different origins.

Mingzhu Zhang, Dongfeng Guo, Haiqing Wang, Guanglong Wu, Naihong Ding, Yaqi Shi, Jinlong Zhou, Eryong Zhao, Xingjiang Li

Open access · diamondAbstract read
In one paragraph

Article in Bioresources and bioprocessing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.7field-weighted citation impact, top 6% of its field
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

9 citing papers in PubMed, 20 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Mingzhu Zhang *Key Laboratory for Agricultural Products Processing, School of Food and Biological Engineering, Hefei University of Technology, Danxia Road 485#, Hefei City, 230601, Anhui Province, China.
Dongfeng Guo *China Tobacco Anhui Industrial Co., Ltd., Huangshan Road 606#, Hefei City, 230088, Anhui Province, China. gdf0221@163.com.
Haiqing WangKey Laboratory for Agricultural Products Processing, School of Food and Biological Engineering, Hefei University of Technology, Danxia Road 485#, Hefei City, 230601, Anhui Province, China.
Guanglong WuKey Laboratory for Agricultural Products Processing, School of Food and Biological Engineering, Hefei University of Technology, Danxia Road 485#, Hefei City, 230601, Anhui Province, China.
Naihong DingChina Tobacco Anhui Industrial Co., Ltd., Huangshan Road 606#, Hefei City, 230088, Anhui Province, China.
Yaqi ShiChina Tobacco Anhui Industrial Co., Ltd., Huangshan Road 606#, Hefei City, 230088, Anhui Province, China.
Jinlong ZhouChina Tobacco Anhui Industrial Co., Ltd., Huangshan Road 606#, Hefei City, 230088, Anhui Province, China.
Eryong ZhaoKey Laboratory for Agricultural Products Processing, School of Food and Biological Engineering, Hefei University of Technology, Danxia Road 485#, Hefei City, 230601, Anhui Province, China.
Xingjiang LiKey Laboratory for Agricultural Products Processing, School of Food and Biological Engineering, Hefei University of Technology, Danxia Road 485#, Hefei City, 230601, Anhui Province, China. lixingjiang@hfut.edu.cn.ORCID http://orcid.org/0000-0002-5455-8240
China Tobacco · CNHefei University of Technology · CNAnhui Agricultural University · CN

Funding

State-Owned Enterprises Cooperative External Program W2023JSKF0083
6 · The paper itself

Abstract

This study delves into the aroma characteristics and microbial composition of filler tobacco leaves (FTLs) sourced from six distinct cigar-growing regions within Yunnan, China, following standardized fermentation. An integrated approach using gas chromatography-mass spectrometry (GC-MS), electronic nose (E-nose), and microbiome analysis was employed for comprehensive profiling. Results derived from Linear Discriminant Analysis (LDA) using E-nose data confirmed the presence of notable variability in flavor substance profiles among the FTLs from six regions. Additionally, GC-MS was used to discern disparities in volatile organic compound (VOC) distribution across FTLs from these regions, identifying 92, 81, 79, 58, 69, and 92 VOCs within each respective sample set. Significantly, 24 VOCs emerged as pivotal determinants contributing to the heterogeneity of flavor profiles among FTLs from diverse origins, as indicated by Variable Importance for the Projection (VIP) analysis. Furthermore, distinctions in free amino acid content and chemical constituents were observed across FTLs. Of noteworthy significance, solanone, isophorone, durene, (-)-alpha-terpineol, and 2,3'-bipyridine exhibited the strongest correlations with microbiome data, with fungal microorganisms exerting a more pronounced influence on metabolites, as elucidated through two-way orthogonal partial least-squares (O2PLS) modeling. These findings provide a theoretical and technical basis for accurately evaluating the synchronization of FTLs in aromas and fermentation processes, and they will enhance the quality of fermented FTLs and foster the growth of the domestic cigar tobacco industry ultimately.

Indexed as

Chemical constituentsFiller tobacco leavesMicrobial communityVolatile organic compoundsYunnan region

Identifiers

PMID38647645
PMCPMC10992047
OpenAlexW4390976768

What Socratic 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 Socratic graph.