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Indicator displacement assay for freshness monitoring of green tea during storage.
Zhang, Yiyi; Yuan, Wenxuan; Ren, Zhengyu; Ning, Jingming; Wang, Yujie.
Afiliação
  • Zhang Y; State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, China.
  • Yuan W; State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, China.
  • Ren Z; State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, China.
  • Ning J; State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, China.
  • Wang Y; State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, China. Electronic address: wangyj@ahau.edu.cn.
Food Res Int ; 167: 112668, 2023 05.
Article em En | MEDLINE | ID: mdl-37087209
Aging of green tea leads to reductions in its flavor and health value, yet in situ testing methods for green tea freshness are lacking. A novel sensitive indicator displacement assay (IDA) sensor was constructed and applied for monitoring of green tea freshness during storage. Low-cost pH dyes and metal ions were used as indicators and receptors, respectively, for the targeted detection of catechins in tea samples. The feasibility of the IDA reaction was verified using images and UV-vis spectroscopy, respectively. IDA combined with supervised algorithms achieved accurate identification of green tea freshness with an accuracy of 86.67%, and acceptable accuracies in the prediction of catechin monomers and total catechins with ratio of prediction to deviation values over 1.5. Thus, the developed IDA sensor is capable of qualitative and quantitative monitoring of the green tea freshness during storage, providing a new option for quality evaluation and control of green teas.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Chá / Metais Tipo de estudo: Qualitative_research Idioma: En Revista: Food Res Int Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Chá / Metais Tipo de estudo: Qualitative_research Idioma: En Revista: Food Res Int Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China