Institute of Electronic Structure and Laser, Foundation for Research and Technology-Hellas (IESL-FORTH), Heraklion, Greece.
Department of Materials Science and Technology, University of Crete, Heraklion, Greece.
J Sci Food Agric. 2021 Oct;101(13):5337-5347. doi: 10.1002/jsfa.11182. Epub 2021 Mar 15.
The botanical origin of honey attracts both commercial and research interest. Consumers' preferences and medicinal uses of particular honey types drive the demand for the determination of their authenticity with regard to their botanical origin. This study presents the discrimination of thyme, multi-floral. and honeydew honeys by Fourier-transform infrared (FTIR) and ultraviolet (UV) absorption spectroscopy combined with multivariate statistical analysis. UV absorption spectroscopy was applied without any dilution of the sample using a custom-made cuvette. FTIR and UV absorption spectroscopic data were processed by means of the orthogonal partial least squares discriminant analysis.
The optimal classification of floral and honeydew honeys was accomplished with UV spectroscopy with a successful estimation of 92.65% for floral honey and 91.30% for honeydew honey. The discrimination of thyme versus the multi-floral honey was best achieved with FTIR, with a correct classification of 95.56% and 100% for multi-floral and thyme honey respectively. Furthermore, our findings revealed the region of 2400-4000 cm of the FTIR spectra as the most significant for this discrimination.
This work demonstrates that optical spectroscopic techniques in combination with multivariate statistical analysis can be a rapid, low-cost, easy-to-use approach for the determination of the botanical origin of honey without sample pretreatment. © 2021 Society of Chemical Industry.
蜂蜜的植物学起源既吸引了商业关注，也吸引了研究兴趣。消费者对特定蜂蜜类型的偏好和药用用途推动了对其植物学起源真实性进行鉴定的需求。本研究通过傅里叶变换红外（FTIR）和紫外（UV）吸收光谱结合多元统计分析，对百里香、多花和甘露蜜进行了区分。UV 吸收光谱在不稀释样品的情况下使用定制的比色皿进行测量。FTIR 和 UV 吸收光谱数据通过正交偏最小二乘判别分析进行处理。
UV 光谱学最优地完成了花卉和甘露蜜的分类，对花卉蜜的估计成功率为 92.65%，对甘露蜜的估计成功率为 91.30%。FTIR 对百里香与多花蜜的区分最佳，对多花蜜和百里香蜜的正确分类率分别为 95.56%和 100%。此外，我们的研究结果表明，FTIR 光谱的 2400-4000cm 区域对于这种区分最为重要。
这项工作表明，光学光谱技术结合多元统计分析可以成为一种快速、低成本、易于使用的方法，无需样品预处理即可确定蜂蜜的植物学起源。 © 2021 化学工业协会。
