Evaluation of microbial and organic metabolite characteristics in fermented tobacco from different grades by comprehensive microbiomes and chemometrics analysis
The microbial and organic metabolite characteristics of different grades of fermented filler tobacco leaves (FTLs) have a direct impact on the quality of the finished cigars. This study distinguished between high-quality grade (HGD) and low-quality grade (LGD) FTLs by analyzing their chemical and mi...
Gespeichert in:
Veröffentlicht in: | Industrial crops and products 2024-12, Vol.222, p.119706, Article 119706 |
---|---|
Hauptverfasser: | , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | The microbial and organic metabolite characteristics of different grades of fermented filler tobacco leaves (FTLs) have a direct impact on the quality of the finished cigars. This study distinguished between high-quality grade (HGD) and low-quality grade (LGD) FTLs by analyzing their chemical and microbiomic compositions using orthogonal partial least squares discriminant analysis (OPLS-DA), regression analysis, and chemometrics analysis. Key discriminative features between HGD and LGD were identified through the variable importance in projection (VIP) scores of OPLS-DA, coefficients' weights from linear discriminant analysis (LDA), and lambda values for lasso regression analysis. Among 79 operational taxonomic units (OTUs) and 26 chemical components, significant markers such as OTU000085 (Aerococcus) and OTU000166 (Acinetobacter) in bacteria, and OTU000202 (Albifimbria), OTU000203 (Pallidocercospora), OTU000209 (Paracercosporidium) in fungi, as well as arginine and protein, were crucial for differentiation. Notably, OTU000085 and OTU000166 were significantly more prevalent in LGD than in HGD (p < 0.05), while protein levels were markedly higher in HGD (p < 0.05). Discrimination of 108 FTL samples using these key features achieved an accuracy of 84.38 % in the test set with the Random Forest (RF) algorithm. The area under the receiver operating characteristic (ROC) curve was 0.9264. These findings provide a valuable reference for evaluating the difference between the microbial and organic metabolite characteristics of HGD and LGD.
[Display omitted]
•Microbial and organic metabolites were used to evaluate different grades of FTL.•Chemometric analysis coupled with Lasso regression to select 7 feature variables.•Characteristic differences classified the HGD and LGD with an accuracy of 84.38 %. |
---|---|
ISSN: | 0926-6690 |
DOI: | 10.1016/j.indcrop.2024.119706 |