logo
ResearchBunny Logo
Predicting the storage time of green tea by myricetin based on surface-enhanced Raman spectroscopy

Food Science and Technology

Predicting the storage time of green tea by myricetin based on surface-enhanced Raman spectroscopy

M. Xiao, Y. Chen, et al.

This innovative study presents a Surface-enhanced Raman spectroscopy (SERS) strategy for predicting green tea quality changes during storage. The remarkable PCA-SVM model achieved 97.22% accuracy in predicting storage time, while highlighting myricetin as a key indicator. This effective method opens new avenues for monitoring tea quality over time, conducted by Mengxuan Xiao, Yingqi Chen, Fangling Zheng, Qi An, Mingji Xiao, Huiqiang Wang, Luqing Li, and Qianying Dai.

00:00
00:00
Playback language: English
Citation Metrics
Citations
0
Influential Citations
0
Reference Count
0

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny