Laboratory of Food Chemistry and Technology, School of Chemistry, Aristotle University of Thessaloniki (LFCT, AUTH), Thessaloniki 54124, Greece.
Centro de Investigación Agraria de Albaladejito (CIAA), 16194 Cuenca, Spain.
Food Chem. 2014 May 1;150:414-21. doi: 10.1016/j.foodchem.2013.11.014. Epub 2013 Nov 13.
The present study aimed to extend application of the FT-MIR technique to the quality control of traded saffron that suffers various types of fraud or mislabelling. Spectroscopic data were obtained for samples stored for different periods in the dark. Samples with the highest quality according to ISO 3632 specifications produced a typical spectrum profile (reference set). Principal Component Analysis (PCA) of spectroscopic data for this set along with HPLC-DAD analysis of major apocarotenoids assisted identification of FT-IR bands that carry information about desirable sensory properties that weaken during storage. The band at 1028cm(-1), associated with the presence of glucose moieties, along with intensities in the region 1175-1157cm(-1), linked with breakage of glycosidic bonds, were the most useful for diagnostic monitoring of storage effects on the evaluation and test set samples. FT-IR was found to be a promising, sensitive and rapid tool in the fight against saffron fraud.
本研究旨在将傅里叶变换-中红外（FT-MIR）技术应用于受各种欺诈或标签错误影响的贸易藏红花的质量控制。对在黑暗中储存不同时间的样品进行光谱数据采集。根据 ISO 3632 规范，质量最高的样品产生典型的光谱特征（参考集）。对该集合的光谱数据进行主成分分析（PCA）以及高效液相色谱-二极管阵列检测（HPLC-DAD）对主要类胡萝卜素的分析，有助于鉴定与感官特性相关的 FT-IR 谱带信息，这些信息在储存过程中会减弱。与葡萄糖部分存在相关的 1028cm(-1) 谱带以及与糖苷键断裂相关的 1175-1157cm(-1) 区域的强度是对评价和测试集样品进行储存效果诊断监测最有用的谱带。结果表明，FT-IR 是一种有前途的、敏感的、快速的打击藏红花欺诈的工具。
