Feasibility study of quantifying and discriminating soybean oil adulteration in camellia oils by attenuated total reflectance MIR and fiber optic diffuse reflectance NIR

摘要: Abstract Camellia oil is often the target for adulteration or mislabeling in China because of it a high priced product with nutritional and medical values. In this study, use attenuated total reflectance infrared spectroscopy (MIR-ATR) fiber optic diffuse near (FODR-NIR) as rapid cost-efficient classification quantification techniques authentication camellia oils have been preliminarily investigated. MIR spectra range 4000–650 cm −1 NIR 10,000–4000 cm were recorded pure samples adulterated varying concentrations soybean (5–25% adulterations weight oil). Identifications successfully made base on slightly difference raw ranges 1132–885 cm 6200–5400 cm between those soft independent modeling class analogy (SIMCA) pattern recognition technique. Such differences reflect compositional two oleic acid being main ingredient linoleic oil. Furthermore, partial least squares (PLS) model was established to predict concentration adulterant. Models constructed using first derivative by combination standard normal variate (SNV), variance scaling (VS), mean centering (MC) Norris (ND) smoothing pretreatments yielded best prediction results With techniques. The R value PLS 0.994.The root error calibration set (RMSEC) 0.645, (RMSEP) cross validation (RMSECV) are 0.667 0.85, respectively. While techniques, data without gave results. 0.992. RMSEC, RMSEP RMSECV 0.70, 1.78 1.79, Overall, either spectral method easy perform expedient, avoiding problems associated sample handling pretreatment than conventional