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Classification of Chinese tea leaves using laser-induced breakdown spectroscopy combined with the discriminant analysis method

机译:激光诱导击穿光谱结合判别分析方法对中国茶叶进行分类

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Six types of tea leaves, including Longjing green Tea, Mengding Huangya, white tea, Tie Guanyin, Wuyi black tea and Pu'er tea, were analyzed and identified using laser-induced breakdown spectroscopy (LIBS) combined with the discriminant analysis (DA) method. The spectral line intensities of Mg, Mn, Ca, Al, Fe, K, CN (0-0) and C2 (0-0) referenced to C I 247.86 nm were selected as the analysis indexes according to the differences in the LIBS spectra. The results show that 294 samples were identified correctly from a 300 training set and the average correct identification rate was 98%. In addition, 286 samples from a 300 testing set were correctly identified and the average correct identification rate was 95.33%. The misclassification mainly occurred among Mengding Huangya tea, white tea and black tea due to the little differences in the line intensities of Mg, Mn, Ca, Al and C2 (0-0) among these tea leaves. The research results provide a reference method for the identification of tea leaves.
机译:结合判别分析(DA),对龙井绿茶,蒙顶黄芽,白茶,铁观音,武夷红茶和普'茶等六种茶叶进行了分析鉴定。方法。根据LIBS光谱的差异,选择以C I 247.86 nm为参考的Mg,Mn,Ca,Al,Fe,K,CN(0-0)和C2(0-0)的谱线强度作为分析指标。结果表明,从300个训练集中正确识别了294个样本,平均正确识别率为98%。此外,从300个测试集中正确识别了286个样品,平均正确识别率为95.33%。错误分类主要发生在蒙顶黄芽茶,白茶和红茶中,这是由于这些茶叶中Mg,Mn,Ca,Al和C2(0-0)的线强度差异很小。研究结果为茶叶的鉴定提供了参考方法。

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