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首页> 外文期刊>Spectroscopy Letters >Fast nondestructive identification of steamed green tea powder adulterations in matcha by visible spectroscopy combined with chemometrics
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Fast nondestructive identification of steamed green tea powder adulterations in matcha by visible spectroscopy combined with chemometrics

机译:可见光光谱结合化学仪的蒸汽绿茶粉末掺杂快速无损鉴定

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摘要

Compared with green tea powder, whether enzyme-deactivated by steam or pan-fire, matcha is rich in nutrients, but is more expensive. Using steamed green tea powder to adulterate matcha often occurs and this study provided an effective method to identify steamed green tea powder adulterations in matcha rapidly and nondestructively with the combination of visible spectroscopy and chemometrics. Thirty pure matcha samples, 30 100% steamed green tea powder samples and 120 adulterated samples with steamed green tea powder's concentration from 20% to 80% (w/w) were prepared and their spectra of 500-700nm were acquired and applied for the qualitative classification and quantitative prediction. The principal component analysis-linear discriminant analysis model and the soft independent modeling of class analogy model in the qualitative classification as well as the partial least squares model in the quantitative analysis performed well with the accuracy of 100% and R-2 of 0.9815 in their corresponding prediction sets. Because of the covering step during its longer growth period, matcha contained more contents of chlorophyll b than steamed green tea powder, which made the absorption band of chlorophyll b at 645nm become the major contributing band both in discriminant and quantification models.
机译:与绿茶粉相比,无论是蒸汽还是泛火,匹配含量富含营养,但更昂贵。使用蒸茶粉掺假粉末通常会发生,并且本研究提供了一种有效的方法,可以快速地识别麦克风中的蒸煮的绿茶粉末掺杂,并利用可见光谱和化学物质的组合。三十纯匹配样品,30 100%蒸绿茶样品和120种掺杂的绿茶粉浓度从20%〜80%(w / w),并获得500-700nm的光谱,并施加定性分类和定量预测。定性分类中的主要成分分析 - 线性判别分析模型和类类比模型的软独立建模以及定量分析中的偏最小二乘模型,其精度为100%和0.9815的r-2相应的预测集。由于覆盖步骤在其较长的生长期间,匹配含有比蒸蒸汽的绿茶粉更多含量的叶绿素B,这使得叶绿素B的吸收带在645nm处成为判别和量化模型的主要贡献带。

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