Chemometric and DoE-Based Analytical Quality Risk Management to HPTLC Method for Simultaneous Estimation of Metronidazole and Norfloxacin

Analytical Quality Risk Assessment and Design of Experiments to Green HPTLC Method for Simultaneous Estimation of Sildenafil Citrate and Dapoxetine Hydrochloride

A green and robust high-performance thin-layer chromatographic method has been developed for the simultaneous estimation of sildenafil citrate and dapoxetine hydrochloride. A fractional factorial design was applied for analytical quality risk assessment of potential analytical risk factors. The identified critical analytical risk factors were optimized using the design of experiment-based response surface analysis by full factorial design. The analytical design space was navigated for the optimization of the method and the control strategy was framed for low-risk life-cycle management of the chromatographic method. The chromatographic analysis of sildenafil and dapoxetine was carried out on a TLC plate coated with silica gel G60 F254 using n-butanol:ethyl acetate:ethanol (8.0 + 2.0 + 0.5, v/v) as mobile phase. The chromatographic peaks of sildenafil and dapoxetine were found to be at Rf 0.29 and 0.69, respectively. The method was found to be accurate, precise, robust, specific and sensitive. The fixed-dose combinations of sildenafil and dapoxetine were assayed and results were found in compliance with their labeled claim. The present method was developed using safe and eco-friendly organic solvents for the safety of analysts and the protection of the environment. The greenness profiles of developed and reported methods were evaluated using the NEMI scale and AGREE software.

Red, Green, and Blue Model-Based Assessment and Principles of White Analytical Chemistry to Robust Stability-Indicating Chromatographic Estimation of Thiocolchicoside and Diclofenac Sodium

BACKGROUND

White analytical chemistry (WAC) is a recent approach for evaluating analytical procedures based on their effectiveness in validating results, capacity to be environmentally friendly, and economic effectiveness.

OBJECTIVE

The detection of diclofenac sodium (DCF) and thiocolchicoside (THC) simultaneously has been established using a WAC-driven stability-indicating chromatographic method (SICM).

METHODS

For the concurrent stability study of THC and DCF, the suggested chromatographic technique was developed employing safe and environmentally acceptable organic solvents. To identify critical analytical method parameters (AMPs) and analytical quality attributes (AQAs), a design of experiments (DoE)-based screening design was applied. For the DoE-based response surface modelling (RSM) of critical AMPs and AQAs, the Box-Behnken design (BBD) was employed.

RESULTS

A robust SICM was developed by navigating the analytical design space for simultaneous estimation of THC and DCF. IR, NMR, and mass spectral data were used to characterize the degradation products. Red, green, and blue (RGB) models were used to evaluate the suggested method's validation effectiveness, greenness power, and economic efficiency and compared to published chromatographic techniques. The effectiveness of the chromatographic method's validation concerning the International Council for Harmonization (ICH) Q2 (R1) guideline was evaluated using the red model. The analytical greenness (AGREE) evaluation tool and eco-scale assessment (ESA) approach were used to evaluate the green model's methodology. The blue model-based assessment was carried out for comparison of simplicity of instruments handling, cost, and time during sample analysis. The red, blue, and green scores of the techniques were averaged to arrive at the white score of the suggested and reported methods.

CONCLUSION

For the concurrent stability study of THC and DCF, the suggested technique was shown to be validated, environmentally friendly, and cost effective. The suggested approach could be a cost-effective and environmentally friendly analytical technique for determining the stability and monitoring the quality of fixed-dose combinations (FDC) of THC and DCF.

HIGHLIGHTS

Stability-indicating HPTLC method was developed for concomitant analysis of THC and DCF using concepts of DoE and WAC.

Design of Experiment-Based Green UPLC-DAD Method for the Simultaneous Determination of Indacaterol, Glycopyrronium and Mometasone in their Combined Dosage Form and Spiked Human Plasma

Indacaterol, is an ultra-long-acting β2 agonist, glycopyrronium is a long-acting muscarinic-antagonist and mometasone is a synthetic corticosteroid. They were used recently in combination for the treatment of severe asthma symptoms and chronic obstructive pulmonary disease. In this work, it was the first time to develop a green and environment friendly ultra-performance liquid chromatographic method using design expert program for the analysis of the three drugs in their combined dosage form. Also, the method was bioanalytically validated for the analysis of the three drugs in spiked human plasma samples. The method was linear in range from 0.50 to 100.0 μg mL-1 for indacaterol and mometasone and from 1.0 to 150.0 μg mL-1 for glycopyrronium. It showed high accuracy where, the % recovery for indacaterol, glycopyrronium and mometasone in plasma were ranged from 94.27 to 97.86%, 96.43 to 98.75% and 96.86 to 98.43%, respectively. Also, it was precise where, the % relative standard deviation for the inter-day precision was ranged from 2.571 to 3.484%, 3.180 to 4.123% and 3.150 to 3.984% and the intra-day precision was ranged from 2.351 to 3.125%, 2.512 to 3.544% and 2.961 to 3.983% for indacaterol, glycopyrronium and mometasone, respectively. The limit of detection and the limit of quantification for indacaterol and mometasone were 0.03 and 0.10 μg mL-1 while for glycopyrronium, they were 0.16 and 0.50 μg mL-1.

HIGHLIGHTS

Application of Supervised and Unsupervised Learning Approaches for Mapping Storage Conditions of Biopharmaceutical Product-A Case Study of Human Serum Albumin

The stability of biopharmaceutical therapeutics over the storage period/shelf life has been a challenging concern for manufacturers. A noble strategy for mapping best and suitable storage conditions for recombinant human serum albumin (rHSA) in laboratory mixture was optimized using chromatographic data as per principal component analysis (PCA), and similarity was defined using hierarchical cluster analysis. In contrast, separability was defined using linear discriminant analysis (LDA) models. The quantitation was performed for rHSA peak (analyte of interest) and its degraded products, i.e., dimer, trimer, agglomerates and other degradation products. The chromatographic variables were calculated using validated stability-indicating assay method. The chromatographic data mapping was done for the above-mentioned peaks over three months at different temperatures, i.e., 20°C, 5-8°C and at room temperature (25°C). The PCA had figured out the ungrouped variable, whereas supervised mapping was done using LDA. As an outcome result of LDA, about 60% of data were correctly classified with the highest sensitivity for 25°C (Aq), 25°C and 5-8°C (Aq with 5% glucose as a stabilizer), whereas the highest specificity was observed for samples stored at 5-8°C (Aq with 5% glucose as a stabilizer).