FT-IR and untargeted chemometric analysis for adulterant detection in chia and sesame oils

RODRÍGUEZ, SILVIO D.; GAGNETEN, MAITE; FARRONI, ABEL E.; PERCIBALDI, NORA M.; PILAR BUERA, M.

FOOD CONTROL

ELSEVIER SCI LTD

Lugar: Amsterdam; Año: 2019

0956-7135

Chia (Salviahispanica L.) and sesame (Sesamum indicum L.) oils are valorizedfor their health benefits and both are extensively used as ingredients indifferent food formulations and/or processes. Their retail pricesare higher than those of other edible oils and might promote fraudulentadulterations. Spectroscopic methods associated to untargeted analysis are appropriateand faster than traditional techniques, requiring less time to prepare and runthe samples. In the present study Fourier transform infrared spectroscopy wasused in combination with one class partial least squares and soft independentmodelling by class analogy to detect the presence of four possible adulterants:corn, peanut, soybean and sunflower oils, in four different proportions(pure+adulterant: 90+10, 95+5, 98+2 and 99+1, in volume). Untargeted approacheswere successful in the detection of adulterated chia and sesame oils withacceptable prediction errors ranging between 1% and 5%.