Rapid detection of authenticity and adulteration of cold pressed black cumin seed oil: A comparative study of ATR-FTIR spectroscopy and synchronous fluorescence with multivariate data analysis

WOS:000456754500042Here we report the comparison of ATR-FTIR and synchronous fluorescence (SyF) spectroscopy combined with multivariate data analysis to detect the authenticity of cold pressed black cumin seed oil (BCSO) and quantify adulterant levels of soybean oil (SBO). Forty pure oils, as well as ninety six oil blends, were analyzed using FTIR and SyF spectroscopy in combination with PCA, SIMCA and PLSR analysis. A SIMCA model of fluorescence data provided an excellent classification for pure BCSO and other vegetable oils, such as sunflower oils (SFOs), soybean oils (SBOs), hazelnut oils (HNOs), cotton seed oils (CSOs), grape seed oil (GSOs) and virgin olive oils (VOOs) from different brands and origins, with 99% significance level. The limit for detection of SBO adulteration in BCSO by fluorescence spectroscopy was also below 5%. In the optimum for both techniques, the plots of actual versus predicted values exhibited high linearity. R-2 and RMSEC of the PLSR calibration model for FTIR spectra were between 0.9250-0.9998 and 0.1685-4.4762, respectively. R-2 and RMSEC values of the PLSR calibration model for SyF spectra were between 0.9764-0.9975 and 0.8189-2.5122.Scientific Research Project Center of Karamanoglu Mehmetbey University [18-M-17, 18-M-18]; Scientific Research Project Center of Ankara University; Scientific and Technological Research Council of Turkey (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [TUBITAK-116Z159]; TUBITAK under the 2219-Research Fellowship Program for International PostdoctoralThis study is supported financially by the Scientific Research Project Center of Karamanoglu Mehmetbey University (Project number 18-M-17 and 18-M-18). The authors would like to thank the Scientific Research Project Center of Ankara University and the Scientific and Technological Research Council of Turkey (TUBITAK) (Project number TUBITAK-116Z159) for providing the financial support to use Unscrambles X10.4 (CAMO software, Oslo, Norway) program. The authors would also like to thank TUBITAK under the 2219-Research Fellowship Program for International Postdoctoral for providing the financial support to carry out this research work