激光诱导击穿光谱技术用于抹茶和绿茶粉的快速鉴别
发布时间:2018-11-24 12:22
【摘要】:研究利用激光诱导击穿光谱技术结合化学计量学方法快速鉴别抹茶和绿茶粉的可行性。抹茶与绿茶粉的主要区别在于茶树品种、栽培管理、生长时间和加工工艺。通过采集不同厂家生产的抹茶和不同杀青方式制成的绿茶粉在230~880nm的激光诱导击穿光谱并进行归一化预处理后,选用主成分分析(PCA),依据X-variables loadings获取用于鉴别抹茶和绿茶粉的特征波长,并基于特征波长建立线性判别式分析(LDA)模型。结果表明:基于特征波长建立的LDA模型能快速鉴别抹茶和绿茶粉,4个特征波长分别属于C(Ⅰ)247.94nm,Mg(Ⅱ)279.60nm,Ca(Ⅱ)393.45nm和Fe(Ⅱ)766.68nm;建模集和预测集的判别正确率均达到100%。采用激光诱导击穿光谱技术可以准确鉴别不同厂家生产的抹茶和不同杀青方式制成的绿茶粉。
[Abstract]:The feasibility of rapid identification of matcha and green tea powder by laser induced breakdown spectroscopy and chemometrics was studied. The main differences between matcha and green tea powder are tea variety, cultivation management, growing time and processing technology. Green tea powder produced by different manufacturers and green tea powder produced by different ways of killing green tea were analyzed by principal component analysis (PCA),) after laser induced breakdown spectrum of 230~880nm and normalized pretreatment were carried out. The characteristic wavelengths of tea and green tea powder were obtained based on X-variables loadings, and a linear discriminant (LDA) model was established based on the characteristic wavelengths. The results showed that the LDA model based on characteristic wavelength could be used to identify matcha and green tea powder quickly, and the four characteristic wavelengths belonged to C (鈪,
本文编号:2353699
[Abstract]:The feasibility of rapid identification of matcha and green tea powder by laser induced breakdown spectroscopy and chemometrics was studied. The main differences between matcha and green tea powder are tea variety, cultivation management, growing time and processing technology. Green tea powder produced by different manufacturers and green tea powder produced by different ways of killing green tea were analyzed by principal component analysis (PCA),) after laser induced breakdown spectrum of 230~880nm and normalized pretreatment were carried out. The characteristic wavelengths of tea and green tea powder were obtained based on X-variables loadings, and a linear discriminant (LDA) model was established based on the characteristic wavelengths. The results showed that the LDA model based on characteristic wavelength could be used to identify matcha and green tea powder quickly, and the four characteristic wavelengths belonged to C (鈪,
本文编号:2353699
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