Table 2.

Kinetic parameters of the Weibull model for the selected attributes under different dehydration treatments.

Attribute	Treatment	Regression coefficient	R2	RMSEa	Fitting quality
Myrosinase	HD	a = 10.91b = 0.6275c = 0.0265	1.000	0.056	Good
	MT + HD	a = 12.91b = 0.3095c = 2.118 × 10-6	0.964	0.562	Good
	VC + HD	a = 11.73b = 0.6426c = 3.099 × 10-7	0.966	0.648	Good
	CUD	a = 10.91b = 0.5399c = 0.0348	0.956	0.624	Good
	MT + CUD	a = 13.21b = 0.1769c = 0.5086	0.463	2.295	Poor
	VC + CUD	a = 11.74b = 0.5717c = 3.099 × 10-7	0.850	1.277	Good
VC	HD	a = 3.925b = 0.3875c = 0.1953	0.937	0.235	Good
	MT + HD	a = 4.473b = 0.2739c = 0.3566	0.960	0.189	Good
	VC + HD	a = 4.326b = 0.4036c = 0.3634	0.962	0.236	Good
	CUD	a = 3.919b = 0.5228c = 0.4722	1.000	0.024	Good
	MT + CUD	a = 4.471b = 0.3670c = 0.4012	0.995	0.080	Good
	VC + CUD	a = 4.316b = 0.3484c = 0.6299	0.963	0.262	Good
Fe2+	HD	a = 15.16b = 0.3108c = 0.2976	0.900	1.086	Good
	MT + HD	a = 16.05b = 0.1934c = 0.4044	0.761	1.493	Poor
	VC + HD	a = 17.36b = 0.3894c = 0.1721	0.975	0.629	Good
	CUD	a = 15.17b = 0.4695c = 0.2212	1.000	0.083	Good
	MT + CUD	a = 15.90b = 0.5002c = 0.1749	0.996	0.283	Good
	VC + CUD	a = 17.42b = 0.3166c = 0.5493	0.961	0.937	Good

^a: RMSE refers to the root mean square error. RMSE units for myrosinase, VC and Fe²⁺ are U/g DW, mg/g DW and mg/100 g DW, respectively.