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Development of analytical “aroma wheels” for Oolong tea infusions (Shuixian and Rougui) and prediction of dynamic aroma release and colour changes during “Chinese tea ceremony” with machine learning

Yang, Ni; Simon, Juliette; Fang, Wanping; Ayed, Charfedinne; Zhang, Wei Emma; Axell, Matthew; Viltoriano, Robin; Fisk, Ian

Development of analytical “aroma wheels” for Oolong tea infusions (Shuixian and Rougui) and prediction of dynamic aroma release and colour changes during “Chinese tea ceremony” with machine learning Thumbnail


Authors

Profile image of NI YANG

Dr NI YANG NI.YANG@NOTTINGHAM.AC.UK
ASSOCIATE PROFESSOR

Juliette Simon

Wanping Fang

Charfedinne Ayed

Wei Emma Zhang

Matthew Axell

Robin Viltoriano



Abstract

The flavour of tea as a worldwide popular beverage has been studied extensively. This study aimed to apply established flavour analysis techniques (GC–MS, GC-O-MS and APCI-MS/MS) in innovative ways to characterise the flavour profile of oolong tea infusions for two types of oolong tea (type A- Shuixian, type B- Rougui). GC–MS identified 48 aroma compounds, with type B having a higher abundance of most compounds. GC-O-MS analysis determined the noticeable aroma difference based on 20 key aroma compounds, facilitating the creation of an analytical “Aroma Wheel” with 8 key odour descriptors. APCI-MS/MS assessed real-time aroma release during successive brews linked with the “Chinese tea ceremony” (Gongfu Cha). Multivariate Polynomial Regression (MPR) and Long Short-Term Memory (LSTM) network approaches were applied to aroma and colour data from seven successive brews. The results revealed a progressive decline in both colour and aroma with seven repeated brews, particularly notable after the fourth brew.

Citation

Yang, N., Simon, J., Fang, W., Ayed, C., Zhang, W. E., Axell, M., Viltoriano, R., & Fisk, I. (2025). Development of analytical “aroma wheels” for Oolong tea infusions (Shuixian and Rougui) and prediction of dynamic aroma release and colour changes during “Chinese tea ceremony” with machine learning. Food Chemistry, 464, Article 141537. https://doi.org/10.1016/j.foodchem.2024.141537

Journal Article Type Article
Acceptance Date Oct 3, 2024
Online Publication Date Oct 12, 2024
Publication Date Feb 1, 2025
Deposit Date Dec 16, 2024
Publicly Available Date Dec 18, 2024
Journal Food Chemistry
Print ISSN 0308-8146
Electronic ISSN 1873-7072
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 464
Article Number 141537
DOI https://doi.org/10.1016/j.foodchem.2024.141537
Keywords GC-O-MS, APCI-MS/MS, Aroma wheel, Aroma release, Oolong tea, Chinese tea ceremony
Public URL https://nottingham-repository.worktribe.com/output/40590143
Publisher URL https://www.sciencedirect.com/science/article/pii/S030881462403187X?via%3Dihub

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