Table 2 Statistical and linear regression parameters for the validation set using PCR, PLS and SiPLS models.

From: Chemometric-assisted spectrophotometric approach for stability assessment of safinamide and its synthetic precursor in antiparkinsonian formulation with sustainability profiling

Parameters

PCR

PLS

siPLS [ 3 5 7 14]

SAF

SAF

impurity

SAF

hydrolytic Deg.

SAF

Oxidative

Deg.

SAF

SAF

impurity

SAF

hydrolytic

Deg.

SAF

Oxidative

Deg.

SAF

SAF

impurity

SAF

Hydrolytic

Deg.

SAF

Oxidative

Deg.

Mean recovery %

99.35

99.67

100.02

99.68

99.39

99.99

99.68

99.69

100.26

100.39

100.27

99.80

SD

1.067

2.020

5.791

1.089

1.246

1.744

4.695

1.092

0.844

1.678

1.195

1.033

RSD %

1.074

2.027

5.790

1.093

1.254

1.744

4.710

1.096

0.842

1.671

1.192

1.035

Correlation coefficient (r)

0.9998

0.9998

0.9678

0.9998

0.9998

0.9997

0.9785

0.9998

0.9999

0.9996

0.9986

0.9998

Slope

0.9947

1.0376

0.9324

1.0030

0.9947

1.0291

0.9498

1.0025

0.9983

1.0008

0.9913

1.0056

Intercept

-0.0113

-0.0961

0.3003

-0.0442

-0.0101

-0.0686

0.2090

-0.0402

0.0317

0.0091

0.0507

-0.0569

LOD a

0.468

0.093

0.967

0.212

0.482

0.106

0.783

0.213

0.340

0.120

0.199

0.195

LOQ a

1.418

0.281

2.930

0.644

1.459

0.322

2.374

0.647

1.032

0.363

0.603

0.590

  1. a Calculated from equation [LOD (limit of detection) = 3.3 (SD/S), LOQ (limit of quantification) = 10 (SD/S); where SD is the standard deviation of regression residuals and S is the slope of the calibration curves.
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