荧光高光谱技术快速无损检测铁观音的掺伪及其程度。
The Rapid Non-Destructive Detection of Adulteration and Its Degree of Tieguanyin by Fluorescence Hyperspectral Technology.
机构信息
College of Mechanical and Electrical Engineering, Sichuan Agriculture University, Ya'an 625000, China.
出版信息
Molecules. 2022 Feb 10;27(4):1196. doi: 10.3390/molecules27041196.
Tieguanyin is one of the top ten most popular teas and the representative of oolong tea in China. In this study, a rapid and non-destructive method is developed to detect adulterated tea and its degree. Benshan is used as the adulterated tea, which is about 0%, 10%, 20%, 30%, 40%, and 50% of the total weight of tea samples, mixed with Tieguanyin. Taking the fluorescence spectra from 475 to 1000 nm, we then established the 2-and 6-class discriminant models. The 2-class discriminant models had the best evaluation index when using SG-CARS-SVM, which can reach a 100.00% overall accuracy, 100.00% specificity, 100% sensitivity, and the least time was 1.2088 s, which can accurately identify pure and adulterated tea; among the 6-class discriminant models (0% (pure Tieguanyin), 10, 20, 30, 40, and 50%), with the increasing difficulty of adulteration, SNV-RF-SVM had the best evaluation index, the highest overall accuracy reached 94.27%, and the least time was 0.00698 s. In general, the results indicated that the two classification methods explored in this study can obtain the best effects. The fluorescence hyperspectral technology has a broad scope and feasibility in the non-destructive detection of adulterated tea and other fields.
铁观音是中国十大名茶之一，也是乌龙茶的代表。本研究开发了一种快速无损的方法来检测掺杂茶及其程度。本山茶被用作掺杂茶，掺杂量分别为铁观音样品总重量的 0%、10%、20%、30%、40%和 50%。我们采集了 475 到 1000nm 的荧光光谱，然后建立了 2 类和 6 类判别模型。使用 SG-CARS-SVM 时，2 类判别模型具有最佳的评价指标，总体准确率达到 100.00%，特异性为 100.00%，灵敏度为 100%，用时最短为 1.2088s，可以准确识别纯茶和掺杂茶；在 6 类判别模型（0%（纯铁观音）、10%、20%、30%、40%和 50%）中，随着掺杂难度的增加，SNV-RF-SVM 具有最佳的评价指标，总体准确率最高达到 94.27%，用时最短为 0.00698s。总的来说，结果表明本研究探索的两种分类方法可以获得最佳效果。荧光高光谱技术在非破坏性检测掺杂茶和其他领域具有广阔的应用前景和可行性。
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