Improvement of thermo-resistance and quality of soybean oil by blending with cold-pressed oils using simplex lattice mixture design | OCL

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Table 6

Coefficients of mathematical equations of models and their statistical significance.

Term	K₂₃₂		K₂₇₀		Acidity		Peroxide value		Iodine value		Induction time

	Estimation	Prob.>\|t\|	Estimation	Prob.>\|t\|	Estimation	Prob.>\|t\|	Estimation	Prob.>\|t\|	Estimation	Prob.>\|t\|	Estimation	Prob.>\|t\|
Lentisk oil	35.30	0.0002*	5.25	0.0006*	2.49	0.0007*	6.57	< 0.0001*	41.77	0.0005*	18.09	< 0.0001*
Almond oil	41.09	< 0.0001*	7.23	0.0002*	2.92	0.0004*	4.53	< 0.0001*	33.52	0.0012*	14.21	< 0.0001*
Sesame oil	36.33	0.0001*	5.10	0.0006*	3.62	0.0002*	5.08	< 0.0001*	45.15	0.0004*	16.14	< 0.0001*
Lentisk oil*Almond oil	−5.45	0.6568	3.73	0.1836	1.13	0.3891	−4.02	0.026*	13.44	0.4992	−1.14	0.6226
Lentisk oil*Sesame oil	−51.45	0.0106*	−6.45	0.0498*	−5.39	0.0101*	−4.69	0.0157*	199.67	0.0004*	−3.67	0.1628
Almond oil*Sesame oil	−5.71	0.6422	−3.01	0.2648	−0.09	0.9425	−0.55	0.6631	29.25	0.1814	−2.80	0.2631

K₂₃₂ and K₂₇₀: UV absorption coefficients at 232 and 270 nm; Acidity, expressed as equivalent oleic acid percentage; Peroxide value (PV), expressed as milliequivalents oxygen/kg oil; Iodine value (IV), expressed as mg KOH/g oil; Induction time (hour); * indicates a significant value.

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