Recent Advances in Sensing Strategies for the Detection and Discrimination of Tea Polyphenols.
- 1Hunan Provincial Key Lab of Dark Tea and Jin-Hua, Hunan City University, Yiyang 413000, China.
Abstract
Tea polyphenols largely determine tea quality, flavor, and health benefits. Reliable detection of these compounds is therefore critical for quality control and process optimization. This review categorizes current sensing strategies into four types: optical, electrochemical, spectroscopic/nondestructive, and sensor arrays. These platforms differ in transduction mechanisms, sensitivity, and practical utility. Optical and electrochemical methods respond rapidly but are vulnerable to matrix effects. Spectroscopic techniques allow non-destructive analysis; their limitation lies in model generalizability across different instruments and sample sets. Sensor arrays, particularly when paired with machine learning, show strong potential for distinguishing structurally similar catechins and tracing tea origin and authenticity. Finally, the future development trends and potential application scenarios of tea polyphenols detection are discussed.
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BibTeX
@article{sun2026recent,
title = {{Recent Advances in Sensing Strategies for the Detection and Discrimination of Tea Polyphenols.}},
author = {Xinbo Sun and Taotao Li and Ying Wu and Zhanjun Liu and Zhiyuan Hu and Yuan Li and Songlin Yu and Xiangdong Qing and Shiquan Liu},
journal = {Biosensors},
year = {2026},
month = oct,
doi = {10.3390/bios16100552},
url = {https://europepmc.org/article/MED/42930099},
note = {CC BY},
}
RIS
TY - JOUR
TI - Recent Advances in Sensing Strategies for the Detection and Discrimination of Tea Polyphenols.
AU - Xinbo Sun
AU - Taotao Li
AU - Ying Wu
AU - Zhanjun Liu
AU - Zhiyuan Hu
AU - Yuan Li
AU - Songlin Yu
AU - Xiangdong Qing
AU - Shiquan Liu
PY - 2026
DA - 2026/10/02
JO - Biosensors
DO - 10.3390/bios16100552
UR - https://europepmc.org/article/MED/42930099
AB - Tea polyphenols largely determine tea quality, flavor, and health benefits. Reliable detection of these compounds is therefore critical for quality control and process optimization. This review categorizes current sensing strategies into four types: optical, electrochemical, spectroscopic/nondestructive, and sensor arrays. These platforms differ in transduction mechanisms, sensitivity, and practical utility. Optical and electrochemical methods respond rapidly but are vulnerable to matrix effects. Spectroscopic techniques allow non-destructive analysis; their limitation lies in model generalizability across different instruments and sample sets. Sensor arrays, particularly when paired with machine learning, show strong potential for distinguishing structurally similar catechins and tracing tea origin and authenticity. Finally, the future development trends and potential application scenarios of tea polyphenols detection are discussed.
SN - 2079-6374
ER -