Durakli Velioglu Serap, Temiz Havva Tumay, Ercioglu Elif, Velioglu Hasan Murat, Topcu Ali, Boyaci Ismail Hakki
Department of Food Engineering, Faculty of Agriculture, Namik Kemal University, 59030 Tekirdag, Turkey.
Department of Food Engineering, Faculty of Engineering, Hacettepe University, Beytepe 06800, Ankara, Turkey.
Food Chem. 2017 Apr 15;221:87-90. doi: 10.1016/j.foodchem.2016.10.044. Epub 2016 Oct 12.
This study presents a novel method to determine erucic acid in canola oil samples by using Raman spectroscopy and chemometric analysis. The oil mixtures were prepared at various concentrations of erucic acid ranging from 0% to 33.56% (w/w) through binary combinations of different oils. In order to predict erucic acid content, Raman spectroscopy and GC results were correlated by means of partial least squares analysis. High coefficient of determination values was obtained for both calibration and validation data sets, which are 0.990 and 0.982, respectively. The results of the present study reveal the potential of Raman spectroscopy for rapid determination (45s) of erucic acid in canola oil. Further research would be useful to improve the method to put it forward as an alternative to GC in the erucic acid analysis.
本研究提出了一种利用拉曼光谱和化学计量分析来测定菜籽油样品中芥酸的新方法。通过不同油类的二元组合,制备了芥酸浓度范围为0%至33.56%(w/w)的油混合物。为了预测芥酸含量,通过偏最小二乘法分析将拉曼光谱和气相色谱结果进行关联。校准数据集和验证数据集均获得了较高的决定系数值,分别为0.990和0.982。本研究结果揭示了拉曼光谱在快速测定(45秒)菜籽油中芥酸方面的潜力。进一步的研究将有助于改进该方法,使其成为芥酸分析中气相色谱的替代方法。