Non-destructive Detection of Sesame Oil Adulteration by Portable FT-NIR, FT-MIR, and Raman Spectrometers Combined with Chemometrics

Authors : Ahmed MENEVSEOGLU

Pages : 775-786

Doi:10.18596/jotcsa.940424

View : 17 | Download : 10

Publication Date : 2021-08-31

Article Type : Research Paper

Abstract :Edible oils are often adulterated with fixed oils because of their high quality and price. Sesame oil is prone to adulteration due to its high commodity value and popularity. Therefore, a rapid, simple, and non-invasive method to detect adulteration in sesame oil is necessary for quality control purposes. Handheld and portable FT-NIR, FT-MIR, and Raman spectrometers are easy to operate, non-destructive, rapid, and easy to transport for in-situ assessments as well as being cheaper alternatives to traditional instruments. This study aimed to evaluate three different vibrational spectroscopic techniques in detecting sesame oil adulteration with sunflower and canola oil. Sesame oils were adulterated with fixed oils at different concentrations insert ignore into journalissuearticles values(0 – 25%); insert ignore into journalissuearticles values(w/w);. Spectra were collected with portable devices and analyzed using Soft Independent Modelling of Class Analogy insert ignore into journalissuearticles values(SIMCA); to generate a classification model to authenticate pure sesame oil and Partial Least Squares Regression insert ignore into journalissuearticles values(PLSR); to predict the levels of the adulterant. For confirmation, the fatty acid profile of the oils was determined by gas chromatography insert ignore into journalissuearticles values(GC);. In all three instruments, SIMCA provided distinct clusters for pure sesame oils and adulterated samples with interclass distance insert ignore into journalissuearticles values(ICD); over 3. Furthermore, FT-NIR and FT-MIR showed excellent performance in predicting adulterant levels with rval>0.96. Specifically, the FT-MIR unit provided more precise classification and PLSR prediction models over FT-NIR and Raman units. Still, all the units can be used as an alternative method to traditional methods such as GC, GC-MS, etc. These units showed great potential for in-situ surveillance to detect sesame oil adulterations.
Keywords : sesame oil, adulteration, portable devices, NIR, MIR, Raman