Identification of volatile compounds and metabolic pathway during ultrasound-assisted kombucha fermentation by HS-SPME-GC/MS combined with metabolomic analysis

被引:11
|
作者
Wang, Zhen [1 ]
Ahmad, Waqas [1 ]
Zhu, Afang [1 ]
Geng, Wenhui [1 ]
Kang, Wencui [1 ]
Ouyang, Qin [1 ]
Chen, Quansheng [1 ,2 ]
机构
[1] Jiangsu Univ, Sch Food & Biol Engn, Zhenjiang 212013, Peoples R China
[2] Jimei Univ, Coll Food & Biol Engn, Xiamen 361021, Peoples R China
关键词
Kombucha; HS-SPME-GC; MS; Ultrasound assisted fermentation; Aroma; Metabolomic pathway; TEA; DISCRIMINATION; LINALOOL; REVEALS; QUALITY;
D O I
10.1016/j.ultsonch.2023.106339
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
The current work combines headspace solid phase microextraction-gas chromatography-mass spectrometry (HS- SPME-GC/MS) with multivariate analysis fusion metabonomics for examining metabolite profile changes. The correlation with metabolic pathways during the fermentation of kombucha tea were comprehensively explored. For optimizing the fermentation process, ultrasound-assisted factors were explored. A total of 132 metabolites released by fermented kombucha were detected by HS-SPME-GC/MS. We employed the principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) to present the relationship between aroma components and fermentation time, of which the first two principal components respectively accounted for 60.3% and 6.5% of the total variance. Multivariate statistical analysis showed that during the fermentation of kombucha tea, there were significant differences in the phenotypes of metabolites in the samples, and 25 characteristic metabolites were selected as biomarkers. Leaf alcohol was first proposed as the characteristic volatile in the fermentation process of kombucha. Furthermore, we addressed the generation pathways of characteristic volatiles, their formation mechanisms, and the transformational correlation among them. Our findings provide a roadmap for future kombucha fermentation processing to enhance kombucha flavor and aroma.
引用
收藏
页数:16
相关论文
共 50 条
  • [21] Analysis of Volatile Components in Coffee Beans from Different Production Areas by HS-SPME-GC/MS
    Shengnan GUO
    Jinqing LU
    Yi DAI
    Xiaoshuang LI
    Huan LIANG
    Junlong CAI
    Medicinal Plant, 2014, (Z1) : 37 - 40
  • [22] Analysis of the spontaneous volatile emission profile of different hashish blocks by means of HS-SPME-GC/MS
    Ascrizzi, R.
    Deriu, V.
    Chericoni, S.
    Giusiani, M.
    Flamini, G.
    PLANTA MEDICA, 2016, 82
  • [23] Effect of iron on volatile organic compounds produced during pineapple fermentation using HS-SPME and GC/MS
    Essandoh, Matthew
    Deweese, Jon
    Mlsna, Todd
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2013, 245
  • [24] Analysis of Echinacea flower volatile constituents by HS-SPME-GC/MS using laboratory-prepared and commercial SPME fibers
    Kaya, Meltem
    Merdivan, Melek
    Tashakkori, Paniz
    Erdem, Pelin
    Anderson, Jared L.
    JOURNAL OF ESSENTIAL OIL RESEARCH, 2019, 31 (02) : 91 - 98
  • [25] Analysis of volatile compound change in tuna oil during storage using a laser irradiation based HS-SPME-GC/MS
    Zhang, Mengna
    Li, Linqiu
    Song, Gongshuai
    Wang, Honghai
    Wang, Haixing
    Shen, Qing
    LWT-FOOD SCIENCE AND TECHNOLOGY, 2020, 120 (120)
  • [26] Comprehensive analysis of the dynamic changes of volatile and non-volatile metabolites in boletus edulis during processing by HS-SPME-GC - MS and UPLC-MS/MS analysis
    Yang, Hao
    Li, Weilan
    Zi, Luxi
    Xu, Ningmeng
    Guo, Zhengyin
    Chen, Bangjie
    Hua, Yan
    Guo, Lei
    FOOD CHEMISTRY-X, 2024, 22
  • [27] Quantification of Volatile Compounds in Wines by HS-SPME-GC/MS: Critical Issues and Use of Multivariate Statistics in Method Optimization
    Pati, Sandra
    Tufariello, Maria
    Crupi, Pasquale
    Coletta, Antonio
    Grieco, Francesco
    Losito, Ilario
    PROCESSES, 2021, 9 (04)
  • [28] Pattern Recognition of Varieties of Peach Fruit and Pulp from Their Volatile Components and Metabolic Profile Using HS-SPME-GC/MS Combined with Multivariable Statistical Analysis
    Mihaylova, Dasha
    Popova, Aneta
    Dincheva, Ivayla
    PLANTS-BASEL, 2022, 11 (23):
  • [29] HS-SPME-GC-MS combined with metabolomic approach to discriminate volatile compounds of Brazilian coffee from different geographic origins
    Moura, Renata Silva
    Sanson, Ananda Lima
    Martucci, Maria Elvira Poleti
    FOOD BIOSCIENCE, 2023, 56
  • [30] Volatile compounds of aromatic cocktail bitters: A HS-SPME-GC-MS analysis
    Johnson, Arielle J.
    Ebeler, Susan E.
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2013, 245