Identification of adulterants (sunflower oil and soybean oil) in grapeseed oil (Vitis vinifera L.) and chia oil (Salvia hispanica L.) by FT-MIR spectroscopy and chemometric

  • Carolina Berenice Velázquez-Rendón 1 Instituto Politécnico Nacional, Escuela Nacional de Ciencias Biológicas-Santo Tomás. Departamento de Biofísica. Prolongación de Carpio y Plan de Ayala S/N. Col. Santo Tomás. Alcaldía Miguel Hidalgo. C.P. 11340. Ciudad de México, México
  • Ofelia Gabriela Meza-Márquez 2 Instituto Politécnico Nacional. Escuela Nacional de Ciencias Biológicas-Zacatenco. Departamento de Ingeniería Bioquímica. Av. Wilfrido Massieu S/N, Esq. Cda. Miguel Stampa. Col. Unidad Profesional Adolfo López Mateos, Zacatenco. Alcaldía Gustavo A. Madero. C.P. 07738. Ciudad de México, México
  • Tzayhri Gallardo-Velázquez Instituto Politécnico Nacional, Escuela Nacional de Ciencias Biológicas-Santo Tomás. Departamento de Biofísica. Prolongación de Carpio y Plan de Ayala S/N. Col. Santo Tomás. Alcaldía Miguel Hidalgo. C.P. 11340. Ciudad de México, México

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

Statistics