Ecological multivariate assisted spectrophotometric methods for determination of antipyrine and benzocaine HCl in presence of antipyrine official impurity and benzocaine HCl degradant: toward greenness and whiteness

Table 3 Regression parameters and model characteristics of the validation sets using the proposed models

Component	Model	Slope	Intercept	R	LOD^a (µg mL⁻¹)	LOQ^a (µg mL⁻¹)	SEP^b	RMSEP^b
ANT	PLS	0.9217	0.4679	0.9973	0.312	0.945	0.190230	0.172070
	ANN	1.0306	− 0.2028	0.9991	0.185	0.561	0.079014	0.071471
	MCR-ALS	1.0205	− 0.1269	0.9939	0.473	1.432	0.159194	0.143997
BEN	PLS	0.9989	0.0250	0.9989	0.178	0.538	0.061632	0.055748
	ANN	0.9989	0.0028	0.9998	0.085	0.257	0.027142	0.024551
	MCR-ALS	1.0349	− 0.0632	0.9981	0.240	0.727	0.098257	0.088886
ANT imp-A	PLS	1.0109	− 0.0025	0.9992	0.093	0.292	0.007856	0.018384
	ANN	1.0000	− 0.0004	1.000	0.001	0.004	0.000437	0.000395
	MCR-ALS	1.0249	− 0.0143	0.9995	0.073	0.222	0.035440	0.032056
PABA	PLS	0.9770	0.0098	0.9994	0.042	0.126	0.002338	0.003565
	ANN	1.0140	− 0.0067	0.9997	0.034	0.102	0.012623	0.011418
	MCR-ALS	0.9719	0.0168	0.9982	0.069	0.209	0.024062	0.021765

^aLOD = 3.3 σ/ S LOQ = 10 σ/ S where, σ is the SD of the response and it was calculated separately for each component in each model, and S is the slope obtained by drawing calibration curves between the theoretical concentrations and the found concentration for each component using the developed models
^bSEP = \(\sqrt{\frac{\sum ({y}_{r}-{y}_{p}-bais{)}^{2}}{n-1}}\), where y_r and y_p is the true and predicted values, respectively, n is the number of samples used in validation and bias = \(\frac{\sum \left({y}_{r}-{y}_{p}\right)}{n}\), While RMSEP = \(\sqrt{\frac{\sum ({y}_{r}-{y}_{p}{)}^{2}}{n}}\)

ISSN: 2661-801X