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Abstract
This study established a Surface-enhanced Raman spectroscopy (SERS) strategy to predict green tea quality changes during storage. A PCA-SVM model, based on SERS data from green tea samples stored from 2015 to 2020, achieved 97.22% accuracy in predicting storage time. The Raman peak at 730 cm⁻¹ (attributed to myricetin) increased linearly with storage time and myricetin concentration, indicating myricetin's potential as an indicator for predicting green tea storage time.
Publisher
npj Science of Food
Published On
Jun 09, 2023
Authors
Mengxuan Xiao, Yingqi Chen, Fangling Zheng, Qi An, Mingji Xiao, Huiqiang Wang, Luqing Li, Qianying Dai
Tags
Surface-enhanced Raman spectroscopy
green tea quality
myricetin
storage prediction
PCA-SVM model
Raman spectroscopy
tea storage time

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