Abstract
Grapeseed and chia oils are important for their fatty acids profile. Both oils are considered gourmet and due their high retail prices they are susceptible to adulteration. FT-MIR was used with chemometric analysis to identify and quantify the adulterants (sunflower and soybean oils) in grapeseed and chia oils. A ternary mixture system was designed for each oil using as adulterants sunflower and soybean oils (2-50%, w/w). Soft independent modelling by class analogy (SIMCA) discriminated adulterated samples and pure samples (100% of recognition and rejection). Partial least squares (PLS) showed the best calibration result (R2c: ≥ 0.95; SEC: 2.22-2.87) and validation (R2v: ≥ 0.99; SEP: 2.25-3.13). The models could be applied to identify and quantify two adulterants: sunflower and soybean oils in grapeseed and chia oils
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