Detection of Adulteration in Canola Oil by Using GC-IMS and Chemometric Analysis

Table 2

Requisite parameters for adulteration level prediction in adulterant canola oil samples.

PLS Models	Calibration		Cross validation		Prediction
	R^2C	RMSEC/(%)	R^2CV	RMSECV/(%)	R^2P	RMSEP/(%)
Adulterated with sunflower oil	0. 994	1.78	0.991	1.80	0.983	1.86
Adulterated with soybean oil	0.996	1.39	0.989	1.43	0.985	1.45
Adulterated with peanut oil	0.968	2.92	0.963	3.18	0.952	3.23

R²C: coefficient of determination for calibration.
R²CV: coefficient of determination for cross validation.
R²P: coefficient of determination for prediction.
RMSEC: root mean square error of calibration.
RMSECV: root mean square error of cross validation.
RMSEP: root mean square error of prediction.