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Discrimination of turmeric brands by means of near infrared (NIR) spectroscopy combined with chemometrics

机译:通过近红外(NIR)光谱结合化学计量学来区分姜黄品牌

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Near Infrared (NIR) spectroscopy combined with chemometrics technique has become a strongest tool for qualitative as well as quantitative assessment in food industry. In this paper, NIR spectroscopy technique is used to discriminate different turmeric brands available at the local market along with a homemade turmeric powder sample. NIR spectroscopic data of turmeric were subjected to different data analysis techniques viz. box plot, principal component analysis (PCA) and linear discriminant analysis (LDA). The separation index value after LDA had reflected an acceptable value to confirm the proper discrimination.
机译:近红外(NIR)光谱与化学计量学技术的结合已成为食品行业定性和定量评估的最强大工具。在本文中,NIR光谱技术用于区分本地市场上可用的不同姜黄品牌以及自制姜黄粉样品。姜黄的近红外光谱数据经受了不同的数据分析技术,即。箱形图,主成分分析(PCA)和线性判别分析(LDA)。 LDA之后的分离指数值反映了可接受的值,以确认适当的区分。

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