Design of experiments and white analytical chemistry-driven green and sensitive spectrofluorimetric estimation of pregabalin in its pharmaceutical dosage forms and spiked human plasma

Future Journal of Pharmaceutical Sciences

Table 1 Design metrics and measured responses for DoE-based response surface analysis and optimization of critical procedure variables (CPVs) using central composite design by Minitab 18 software

Standard run order	Random run order	Point type	Blocks	CPV—A	CPV—B	Response R1	Response R2
3	1	Factorial	1	−1	+ 1	260.14	90.14
7	2	Axial	1	0	−α	170.12	75.14
12	3	Center	1	0	0	230.41	85.49
13	4	Center	1	0	0	230.74	85.78
5	5	Axial	1	−α	0	240.12	87.14
2	6	Factorial	1	+ 1	−1	110.14	65.11
4	7	Factorial	1	+ 1	+ 1	160.11	73.18
11	8	Center	1	0	0	230.47	85.71
9	9	Center	1	0	0	230.74	85.88
1	10	Factorial	1	−1	−1	200.11	80.41
8	11	Axial	1	0	+ α	210.45	83.14
10	12	Center	1	0	0	230.11	85.42
6	13	Axial	1	+ α	0	140.77	70.12

CPV—A (Excitation wavelength in nm): Axial point (−α)—225.85, low level (−1)—230 nm, medium level (0)—240 nm, high level (+ 1)—250nm and axial point (+ α)—254.142
CPV—B (pH of medium): Axial point (−α)—7.59, low level (−1)—8.0, medium level (0)—9.0, high level (+ 1)—10.0 and axial point (+ α)—10.41