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利用前表面荧光光谱法鉴定蜂蜜的植物来源:一项初步研究。

Authentication of the botanical origin of honey by front-face fluorescence spectroscopy. A preliminary study.

作者信息

Ruoff Kaspar, Karoui Romdhane, Dufour Eric, Luginbühl Werner, Bosset Jacques-Olivier, Bogdanov Stefan, Amado Renato

机构信息

Swiss Bee Research Centre/Agroscope Liebefeld-Posieux, Schwarzenburgstrasse 161, CH-3003 Berne, Switzerland.

出版信息

J Agric Food Chem. 2005 Mar 9;53(5):1343-7. doi: 10.1021/jf048384q.

Abstract

The potential of front-face fluorescence spectroscopy for the authentication of unifloral and polyfloral honey types (n = 57 samples) previously classified using traditional methods such as chemical, pollen, and sensory analysis was evaluated. Emission spectra were recorded between 280 and 480 nm (excit: 250 nm), 305 and 500 nm (excit: 290 nm), and 380 and 600 nm (excit: 373 nm) directly on honey samples. In addition, excitation spectra (290-440 nm) were recorded with the emission measured at 450 nm. A total of four different spectral data sets were considered for data analysis. After normalization of the spectra, chemometric evaluation of the spectral data was carried out using principal component analysis (PCA) and linear discriminant analysis (LDA). The rate of correct classification ranged from 36% to 100% by using single spectral data sets (250, 290, 373, 450 nm) and from 73% to 100% by combining these four data sets. For alpine polyfloral honey and the unifloral varieties investigated (acacia, alpine rose, honeydew, chestnut, and rape), correct classification ranged from 96% to 100%. This preliminary study indicates that front-face fluorescence spectroscopy is a promising technique for the authentication of the botanical origin of honey. It is nondestructive, rapid, easy to use, and inexpensive. The use of additional excitation wavelengths between 320 and 440 nm could increase the correct classification of the less characteristic fluorescent varieties.

摘要

对采用化学、花粉和感官分析等传统方法预先分类的单花和多花蜂蜜类型(n = 57个样本),评估了其采用前表面荧光光谱法进行鉴别的潜力。直接在蜂蜜样本上记录了280至480 nm(激发波长:250 nm)、305至500 nm(激发波长:290 nm)和380至600 nm(激发波长:373 nm)之间的发射光谱。此外,记录了激发光谱(290 - 440 nm),发射光在450 nm处测量。总共考虑了四个不同的光谱数据集用于数据分析。光谱归一化后,使用主成分分析(PCA)和线性判别分析(LDA)对光谱数据进行化学计量学评估。使用单个光谱数据集(250、290、373、450 nm)时,正确分类率在36%至100%之间,将这四个数据集组合使用时,正确分类率在73%至100%之间。对于高山多花蜂蜜以及所研究的单花蜂蜜品种(刺槐、高山玫瑰、甘露、栗子和油菜),正确分类率在96%至100%之间。这项初步研究表明,前表面荧光光谱法是一种用于鉴别蜂蜜植物来源的有前景的技术。它无损、快速、易于使用且成本低廉。使用320至440 nm之间的额外激发波长可能会提高特征性较差的荧光品种的正确分类率。

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