College of Food Science, Southwest University, Chongqing 400715, PR China.
Food Chem. 2013 Dec 1;141(3):3103-9. doi: 10.1016/j.foodchem.2013.05.155. Epub 2013 Jun 12.
Fourier transform mid infrared (FT-MIR) spectroscopy combined with chemometrics techniques were developed for classification and quantification of cheaper starches (potato and sweet potato starch) in lotus root powder (LRP). By performing principal component analysis (PCA), it was possible to distinguish between adulterated and non-adulterated LRP. The coefficient of determination (R(2)) and standard deviation ratio (SDR) of calibration set were found to be 0.9587-0.9898 and 3.63-10.2, depending on the pre-treatment of spectra. The external validation set gave a coefficient of determination (R(2)) and standard deviation ratio (SDR) of 0.9810 and 5.47, respectively. Moreover, the limit of detection (1%), the limit of quantification (3%), reasonable recovery (92.3-101.5%), satisfactory intra-assay (2.9-5.5%) and inter-assay (11.0-13.5%) precision illustrated the good performance of the present method. The results obtained in this study indicate that FT-MIR spectroscopy can be used as an easy, rapid and novel tool to detect the LRP adulterated with cheaper starches.
傅里叶变换中红外（FT-MIR）光谱结合化学计量学技术被开发用于鉴定和定量莲藕粉（LRP）中的较廉价淀粉（马铃薯淀粉和甘薯淀粉）。通过进行主成分分析（PCA），可以区分掺杂和非掺杂的 LRP。根据光谱的预处理，校准集的确定系数（R（2））和标准偏差比（SDR）分别为 0.9587-0.9898 和 3.63-10.2。外部验证集的确定系数（R（2））和标准偏差比（SDR）分别为 0.9810 和 5.47。此外，检测限（1%）、定量限（3%）、合理回收率（92.3-101.5%）、良好的日内精密度（2.9-5.5%）和日间精密度（11.0-13.5%）说明了该方法的良好性能。本研究的结果表明，FT-MIR 光谱可作为一种简便、快速、新颖的工具，用于检测掺杂较廉价淀粉的 LRP。
