大学化学 >> 2026, Vol. 41 >> Issue (2): 366-374.doi: 10.12461/PKU.DXHX202503043

化学实验 上一篇    下一篇

专业综合与创新实验——基于比色传感阵列和化学计量学的茶叶等级快速鉴别实验

陈瑶1,2, 彭冰1, 赵域驰1, 肖湘1, 王童2   

  1. 1 湖南工业大学生物与医学工程学院, 湖南 株洲 412007;
    2 湖南大学化学化工学院, 化学生物传感与计量学国家重点实验室, 长沙 410082
  • 收稿日期:2025-03-10 录用日期:2025-05-13 发布日期:2025-12-27
  • 通讯作者: 王童 E-mail:wangtong@hnu.edu.cn Tong Wang
  • 基金资助:
    湖南省教育厅科学研究重点项目(23A0028)；国家自然科学基金(22204049)

Professional Synthesis and Innovation Experiment: Rapid Identification Experiment of Tea Grades Based on Colorimetric Sensor Array and Chemometrics

Yao Chen1,2, Bing Peng1, Yuchi Zhao1, Xiang Xiao1, Tong Wang2   

  1. 1 School of Biological Science and Medical Engineering, Hunan University of Technology, Zhuzhou 412007, Hunan Province, China;
    2 State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China
  • Received:2025-03-10 Accepted:2025-05-13 Published:2025-12-27
  • Contact: Tong Wang E-mail:wangtong@hnu.edu.cn

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摘要： 随着中国饮茶群体的不断扩大以及人们生活质量的提高，名优茶叶越来越受到人们的青睐，人们对名优茶叶的需求量也迅速增加。利用不同等级的茶叶中茶多酚和氨基酸含量的不同，本创新实验基于指示剂置换原理开发了一种简单、廉价的比色传感器阵列，用于快速鉴别两个等级的武夷山岩茶(牛栏坑肉桂和普通肉桂)。通过智能手机拍照成像，MATLAB软件提取图片RGB值，再结合偏最小二乘判别分析法(PLS-DA)对RGB数据进行解析。结果表明，该方法能快速准确的分辨不同等级的茶叶，分类准确度达到100%。本创新实验从解决实际问题出发，与科研前沿相接轨，能有效提升学生的综合实验能力；引入化学计量学前沿知识和手机成像技术，不仅能提高学生对其他学科如图像处理、数据分析的兴趣和认知，还能提高学生对科学实验的参与度和思维深度；此外，基于实验具有仪器设备廉价、视觉效果好等特点，在应用于高校综合性实验开展方面，能解决部分高校大型精密仪器短缺和实验枯燥乏味等问题。

关键词: 比色传感阵列, 茶叶等级, 手机成像, 化学计量学

Abstract: With the continuous expansion of the tea-drinking population in China and the improvement of people's quality of life, premium and high-quality teas have become increasingly popular, leading to a rapid increase in demand. This innovative experiment capitalizes on the varying contents of tea polyphenols and amino acids in teas of different grades. It developed a simple and cost-effective colorimetric sensor array based on the indicator replacement principle for the rapid identification of two grades of Wuyishan rock tea (Niulankeng cinnamon and ordinary cinnamon). The RGB values of images captured through smartphone photography are extracted using MATLAB software, followed by analysis of the RGB data through partial least squares discriminant analysis (PLS-DA). The results demonstrate that this method can quickly and accurately distinguish between different grades of tea, with a classification accuracy of 100%. This innovative experiment addresses practical challenges and is closely aligned with cutting-edge scientific research, effectively enhancing students’ comprehensive experimental skills. The integration of advanced chemometrics and mobile imaging technology not only increases students’ interest in and understanding of subjects like image processing and data analysis, but also boosts their participation in scientific experiments and deepens their critical thinking. Furthermore, due to its reliance on inexpensive equipment and the clear visual effects it provides, the experiment can be applied in the development of comprehensive experimental curricula in universities. This approach could help solve issues such as the shortage of large-scale precision instruments and the monotony of experiments in certain institutions.

Key words: Colorimetric sensor array, Tea grade, Smartphone imaging, Chemometrics