Evaluation of changes in chemical composition and antioxidant activities from vine tea at different harvest times based on LC-MS, GC-MS, and data fusion algorithms

Evaluation of changes in chemical composition and antioxidant activities from vine tea at different harvest times based on LC-MS, GC-MS, and data fusion algorithms

This study systematically analyzed the chemical composition of vine tea using LC-MS and GC–MS to determine its optimal harvest time and key antioxidant compounds. By employing mass defect filtering (MDF) and a data fusion algorithm, the study examined compositional changes across different harvestin...

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Bibliographic Details
Main Authors: Lele Zhang, Zixin Zhang, Yu Zhao Hou, Simon Sani Ocholi, Liming Wang, Zhifei Fu, Changjun Liu, Zhonglian Zhang, Lifeng Han
Format: Article
Language:English
Published: Elsevier 2025-04-01
Series:Food Chemistry: X
Subjects:
Vine tea
Mass defect filtering
Machine learning algorithm data fusion
Antioxidant
Online Access:http://www.sciencedirect.com/science/article/pii/S259015752500210X
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