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首页> 外文期刊>European food research and technology =: Zeitschrift fur Lebensmittel-Untersuchung und -Forschung. A >Determining the geographic origin of Emmental cheeses produced during winter and summer using a technique based on the concatenation of MIR and fluorescence spectroscopic data
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Determining the geographic origin of Emmental cheeses produced during winter and summer using a technique based on the concatenation of MIR and fluorescence spectroscopic data

机译:使用基于MIR和荧光光谱数据串联的技术确定冬季和夏季生产的Emmental奶酪的地理起源

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摘要

A technique that used multivariate data analysis to combine mid-infrared (MIR) spectroscopy with front-face fluorescence spectroscopy was used to discriminate between Emmental cheeses originating from different European countries: Austria (n=12), Finland (n=10), Germany (n=19), France (n=57), and Switzerland (n=65). In total, 163 Emmental cheeses produced in winter (n=91) and summer (n=72) periods were investigated. When Factorial Discriminant Analysis was applied to either the infrared or fluorescence spectral data the classifications were not satisfactory. Therefore, the first twenty principal components (PCs) of the PCA extracted from each data set (MIR and tryptophan fluorescence spectra) were pooled (concatenated) into a single matrix and analysed by Factorial Discriminant Analysis. Correct classifications were obtained for the samples for 89% of the calibration spectra and 76.7% of the validation spectra. The discrimination for cheeses from Finland was excellent, while Austrian, German, French and Swiss cheeses were also discriminated well although a few samples were misclassified. It was concluded that concatenation of the data from the two spectroscopic techniques is an efficient technique for authenticating Emmental cheeses independently of their manufacturing period.
机译:一种使用多变量数据分析将中红外(MIR)光谱与正面荧光光谱结合起来的技术,用于区分源自欧洲不同国家的爱门塔尔干酪:奥地利(n = 12),芬兰(n = 10),德国(n = 19),法国(n = 57)和瑞士(n = 65)。总共调查了冬季(n = 91)和夏季(n = 72)期间生产的163种Emmental奶酪。当将因子判别分析应用于红外或荧光光谱数据时,分类不令人满意。因此,将从每个数据集(MIR和色氨酸荧光光谱)中提取的PCA的前二十个主要成分(PC)合并(连接)到单个矩阵中,并通过因子判别分析进行分析。为样品获得了正确的分类,其中有89%的校准光谱和76.7%的确认光谱。芬兰奶酪的区分非常好,而奥地利,德国,法国和瑞士奶酪也被很好地区分,尽管一些样品被错误分类。得出的结论是,将两种光谱技术的数据合并在一起是一种有效的技术,可独立于其制造周期来鉴定埃门塔尔奶酪。

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