Ruoff Kaspar, Luginbühl Werner, Künzli Raphael, Iglesias María Teresa, Bogdanov Stefan, Bosset Jacques Olivier, von der Ohe Katharina, von der Ohe Werner, Amado Renato
Swiss Bee Research Centre/Agroscope Liebefeld-Posieux, Schwarzenburgstrasse 161, CH-3003 Berne, Switzerland.
J Agric Food Chem. 2006 Sep 6;54(18):6873-80. doi: 10.1021/jf060838r.
The potential of Fourier transform mid-infrared spectroscopy (FT-MIR) using an attenuated total reflectance (ATR) cell was evaluated for the authentication of 11 unifloral (acacia, alpine rose, chestnut, dandelion, heather, lime, rape, fir honeydew, metcalfa honeydew, oak honeydew) and polyfloral honey types (n = 411 samples) previously classified with 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 error rates of the discriminant models being calculated by using Bayes' theorem. The error rates ranged from <0.1% (polyfloral and heather honeys as well as honeydew honeys from metcalfa, oak, and fir) to 8.3% (alpine rose honey) in both jackknife classification and validation, depending on the honey type considered. This study indicates that ATR-MIR spectroscopy is a valuable tool for the authentication of the botanical origin and quality control and may also be useful for the determination of the geographical origin of honey.
利用衰减全反射（ATR）池的傅里叶变换中红外光谱（FT-MIR）技术对11种单花蜂蜜（刺槐蜜、高山玫瑰蜜、板栗蜜、蒲公英蜜、石南蜜、椴树蜜、油菜蜜、冷杉甘露蜜、黑角蝉甘露蜜、橡木甘露蜜）和多花蜂蜜类型（n = 411个样本）进行鉴别的潜力进行了评估，这些蜂蜜此前已通过化学、花粉和感官分析等传统方法进行了分类。通过应用主成分分析和线性判别分析对光谱进行化学计量学评估，并使用贝叶斯定理计算判别模型的错误率。在留一法分类和验证中，根据所考虑的蜂蜜类型，错误率范围从<0.1%（多花蜂蜜和石南蜂蜜以及来自黑角蝉、橡木和冷杉的甘露蜜）到8.3%（高山玫瑰蜜）。本研究表明，ATR-MIR光谱技术是用于鉴定蜂蜜植物来源和质量控制的有价值工具，也可能有助于确定蜂蜜的地理来源。
