College of Food Science and Nutritional Engineering, China Agricultural University, No.17 Tsinghua East Road, Haidian District, Beijing, 100083, China.
College of Food Science and Nutritional Engineering, China Agricultural University, No.17 Tsinghua East Road, Haidian District, Beijing, 100083, China.
Spectrochim Acta A Mol Biomol Spectrosc. 2018 May 5;196:123-130. doi: 10.1016/j.saa.2018.02.009. Epub 2018 Feb 6.
A new technique to identify the floral resources of honeys is demanded. Terahertz time-domain attenuated total reflection spectroscopy combined with chemometrics methods was applied to discriminate different categorizes (Medlar honey, Vitex honey, and Acacia honey). Principal component analysis (PCA), cluster analysis (CA) and partial least squares-discriminant analysis (PLS-DA) have been used to find information of the botanical origins of honeys. Spectral range also was discussed to increase the precision of PLS-DA model. The accuracy of 88.46% for validation set was obtained, using PLS-DA model in 0.5-1.5THz. This work indicated terahertz time-domain attenuated total reflection spectroscopy was an available approach to evaluate the quality of honey rapidly.
需要一种新的技术来识别蜂蜜的花卉资源。太赫兹时域衰减全反射光谱结合化学计量学方法被应用于鉴别不同种类的蜂蜜(枸杞蜜、荆条蜜和刺槐蜜)。主成分分析(PCA)、聚类分析(CA)和偏最小二乘判别分析(PLS-DA)被用于寻找蜂蜜植物起源的信息。光谱范围也被讨论以提高 PLS-DA 模型的精度。在 0.5-1.5THz 范围内,使用 PLS-DA 模型得到验证集的准确率为 88.46%。本工作表明,太赫兹时域衰减全反射光谱是一种快速评估蜂蜜质量的有效方法。