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Authentication of the botanical origin of honey by near-infrared spectroscopy

机译:用近红外光谱法鉴定蜂蜜的植物来源

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Fourier transform near-infrared spectroscopy (FT-NIR) was evaluated for the authentication of eight unifloral and polyfloral honey types (n = 364 samples) previously classified using traditional methods such as chemical, pollen, and sensory analysis. Chemometric evaluation of the spectra was carried out by applying principal component analysis and linear discriminant analysis. The corresponding error rates were calculated according to Bayes' theorem. NIR spectroscopy enabled a reliable discrimination of acacia, chestnut, and fir honeydew honey from the other unifloral and polyfloral honey types studied. The error rates ranged from <0.1 to 6.3% depending on the honey type. NIR proved also to be useful for the classification of blossom and honeydew honeys. The results demonstrate that near-infrared spectrometry is a valuable, rapid, and nondestructive tool for the authentication of the above-mentioned honeys, but not for all varieties studied.
机译:对傅里叶变换近红外光谱(FT-NIR)进行了评估,以鉴定先前使用传统方法(如化学,花粉和感官分析)分类的八种单花和多花蜂蜜(n = 364个样品)。光谱的化学计量学评估通过应用主成分分析和线性判别分析进行。根据贝叶斯定理计算出相应的错误率。近红外光谱技术能够可靠地从所研究的其他单花和多花蜂蜜类型中区分相思树,栗子和冷杉蜜。根据蜂蜜类型的不同,错误率的范围从<0.1到6.3%。 NIR也证明对开花和蜜露蜂蜜的分类很有用。结果表明,近红外光谱法是鉴定上述蜂蜜的一种有价值,快速且无损的工具,但并非适用于所有研究品种。

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