Damto Teferi, Zewdu Ashagrie, Birhanu Tarekegn
Holeta Bee Research Center, Oromia Agriculture Research Institute, Ethiopia.
Food Science and Nutrition, College of Natural Science, Addis Ababa University, Addis Ababa, Ethiopia.
Curr Res Food Sci. 2023 Aug 21;7:100565. doi: 10.1016/j.crfs.2023.100565. eCollection 2023.
Honey is a highly susceptible food item to adulteration in national and international trade. Spectrum screening by FTIR coupled with multivariate analysis was investigated as an alternate analytical technique for honey adulterations and authentication. This technique was evaluated using pure honey samples that were blended at a ratio of 0-50% with commonly known adulterant materials and honey samples that were readily available for purchase in the Addis Ababa markets channel. Holeta Bee Research's bee farm pure honey, which is authentic honey, is employed as the control in this experiment. In the region, 4000-400 cm, spectral data of honey samples and five adulterant materials were recorded. The combination of spectra measurement with multivariate analyses resulted in the visualization of honey grouping and classification based on their functional group. The bands at 1800-650 cm spectral region were selected for successful discrimination of clusters. Based on spectral differences, cluster analysis (CA) is also capable of grouping and separating pure from contaminated honey. Principle component analysis was able to visualize the differentiation of deliberately adulterated honey and commercially available from authentic ones. According to the results of our investigation, using FTIR analysis methods along with multivariate statistical analysis of the data could be considered useful fingerprinting procedures for identifying samples of pure and adulterated honey.
在国内和国际贸易中，蜂蜜是一种极易掺假的食品。研究了傅里叶变换红外光谱（FTIR）结合多变量分析的光谱筛选法，作为蜂蜜掺假和鉴别的一种替代分析技术。使用纯蜂蜜样品进行评估，这些样品与常见的掺假物质按0-50%的比例混合，以及在亚的斯亚贝巴市场渠道容易买到的蜂蜜样品。本实验采用霍莱塔蜜蜂研究中心蜂场的纯正蜂蜜作为对照，其为正宗蜂蜜。在该区域记录了蜂蜜样品和五种掺假物质在4000-400厘米的光谱数据。光谱测量与多变量分析相结合，实现了基于蜂蜜官能团的分组和分类可视化。选择1800-650厘米光谱区域的波段以成功区分不同簇。基于光谱差异，聚类分析（CA）也能够对纯蜂蜜和受污染蜂蜜进行分组和分离。主成分分析能够直观显示故意掺假蜂蜜与市售正宗蜂蜜之间的差异。根据我们的调查结果，使用FTIR分析方法以及对数据进行多变量统计分析，可以被视为识别纯蜂蜜和掺假蜂蜜样品的有用指纹识别程序。
