以金属二聚体卟啉,席夫碱过渡金属配合物和特异性染料为敏感材料,结合溶胶凝胶技术构建了一种新型可视化传感器阵列系统,对9种不同产地不同等级的乌龙茶进行了检测。采用主成分分析,聚类分析技术和欧式距离对检测结果进行分析。该传感阵列系统可以对乌龙茶的产地和等级实现准确的可视化识别与分类,检测耗时为3min。通过主成分分析获得的前2个主成分所代表的乌龙茶63.6%的信息量即可以实现不同等级茶叶区分。9种乌龙茶的平行实验数据均能100%准确区分,且等级相同产地相同的样本优先聚成一簇。研究结果表明所构建的可视化阵列传感器是一种能快速准确区分乌龙茶等级与产地的方法,在实时快速检测茶叶品质方面有潜在的应用价值。
A novel colorimetric sensor array system for detection of 9 oolong teas from different geographical origins and grade levels was designed with dimeric metalloporphyrins, metallosalophen complexes and dyes as chemical sensing elements combined with sol-gel technique and ultrasonic atomization method. The digital data library generated is analyzed with hierarchical cluster analysis (HCA), principal component analysis (PCA) and Euclidean distance calculation. The system could discriminate 9 oolong teas with in 3 min, Though the first two principal components obtained by PCA only represent 63.6% of the amount of samples information, all the samples can be distinguished from each other. No errors in classification by HCA were observed in 45 trials. Samples with same grade level and geographical origin will be preferentially gathered in a cluster. It is a rapid and efficient detection method for oolong tea quality grade and represents a potential application in real-time monitoring tea quality.