结合智能手机APP的纸质比色传感器阵列用于茶多酚和龙井茶的鉴别。

IF 10.5 1区 生物学 Q1 BIOPHYSICS
Xiaoyu Yang , Zhichun Bi , Jie Li , Le Wang , Hui Huang , Yongxin Li
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引用次数: 0

摘要

西湖龙井茶是中国十大名茶之一。然而,消费者往往难以通过目测准确识别真正的西湖龙井茶,导致市场上普遍存在假冒和欺诈行为。这项工作的目的是为消费者开发一种实时检测工具,包括视觉变色试纸和附带的手机识别应用程序。开发手机应用程序的目的是为了方便快速识别龙井茶的来源。首先,我们利用纳米酶的多酚氧化酶样活性和过氧化物酶样活性构建传感器阵列,发现茶多酚和龙井茶对传感器阵列的响应不同。然后结合LDA和HCA算法,实现了茶多酚的鉴别和龙井产区的区分。结果表明,7种茶多酚含量低至1 μM,可有效识别6个产区的龙井绿茶和其他产区不同比例掺假的西湖龙井。此外,我们开发了基于纸张的传感器阵列和智能手机APP,通过识别纸张的颜色差异来区分不同产区的茶多酚和龙井的多种浓度。该传感器阵列的构建和智能手机APP的开发可以成功地应用于龙井茶的来源识别和掺假。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Paper-based colorimetric sensor array integrated with smartphone APP for the identification of tea polyphenol and Longjing tea
West Lake Longjing tea is among the top ten renowned teas in China. However, consumers often struggle to accurately identify genuine West Lake Longjing tea through visual inspection, leading to widespread counterfeiting and fraud in the market. The aim of this work is to develop a real-time detection tool for consumers, including a visual color-changing test paper and an accompanying mobile phone recognition application. The mobile application has been developed for the purpose of facilitating rapid identification of the provenance of Longjing tea. Firstly, we used the polyphenol oxidase-like activity and the peroxidase-like activity of nanozymes to construct the sensor array, and found that tea polyphenols and Longjing tea had different responses to the sensor array. Then combined with LDA and HCA algorithms, the identification of tea polyphenols and the differentiation of Longjing production area were realized. The results showed that as low as 1 μM of seven tea polyphenols could be efficiently recognized, and Longjing green tea from six production regions could be differentiated from West Lake Longjing adulterated with different proportions of other production regions. In addition, we developed a paper-based sensor array and a smartphone APP to distinguish multiple concentrations of tea polyphenols and Longjing from different production areas by recognizing the color difference of the paper. The construction of this sensor array and the development of smartphone APP can be successfully applied to the source identification and the adulteration of Longjing tea.
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来源期刊
Biosensors and Bioelectronics
Biosensors and Bioelectronics 工程技术-电化学
CiteScore
20.80
自引率
7.10%
发文量
1006
审稿时长
29 days
期刊介绍: Biosensors & Bioelectronics, along with its open access companion journal Biosensors & Bioelectronics: X, is the leading international publication in the field of biosensors and bioelectronics. It covers research, design, development, and application of biosensors, which are analytical devices incorporating biological materials with physicochemical transducers. These devices, including sensors, DNA chips, electronic noses, and lab-on-a-chip, produce digital signals proportional to specific analytes. Examples include immunosensors and enzyme-based biosensors, applied in various fields such as medicine, environmental monitoring, and food industry. The journal also focuses on molecular and supramolecular structures for enhancing device performance.
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