COMPUTATIONAL MULTI-FACTOR MODELING TO THE SIMULTANEOUS DETERMINATION OF ASSAY AND RELATED SUBSTANCES METHOD DEVELOPMENT, VALIDATION, AND IDENTIFICATION OF MAJOR DEGRADATION PRODUCT OF COVID-19 DRUG MOLNUPIRAVIR BY HPLC: A STRATEGIC RESEARCH USING AQ

Objective: In the current study, a new approach was developed for the simultaneous determination of molnupiravir with its degradation products using RP-HPLC by following the Analytical Quality by Design (AQbD) approach, a proactive strategy for advancing pharmaceutical research. Methods: Development was carried out by applying the two levels of fractional factorial design (2[5-1] with Resolution: V, four center points, and no replicates) to the five independent factors. The separation was achieved using liquid chromatography, equipped with XBridge BEH Shield (250 mm x 4.6 mm, 3.5 µm) RP18 column at 260 nm with gradient elution. A force degradation study was performed in different stressed conditions and a major degradant was identified using modern analytical techniques. Results: The dependent factors were assessed against independent factors using the H-N plot, Pareto chart, and 3D surface plot applied through ANOVA. Major degradant obtained from stress study was identified and characterized using LC-MS, NMR, and FTIR techniques. The analytical method was found to be specific, precise (% RSD ≤ 2.0), linear (r = 0.9999) and accurate (99.2-101.4 %) with a 0.2-0.6 mg/ml range. The LOD and LOQ were 0.02 % (0.08 µg/ml, S/N ratio ≥ 3) and 0.05 % (0.2 µg/ml, S/N ratio ≥ 10, % RSD: 2.2) respectively. The analytical solutions were stable for 48 hour in the clear glassware at room temperature. The study depicts the successful development and validation of a simultaneous determination of assay and related substances by RP-HPLC using Design of Experiments (DoE) approach. Conclusion: A Fractional Factorial Design (FFD) experiment explored the interactions of dependent with independent factors using Design Expert software, version 13.0. This AQbD-driven approach provided an in-depth understanding of chromatographic separation factors, ensuring method reliability and effectiveness for simultaneously determining the purity and impurity of molnupiravir, assisting in regulatory compliance.

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Publication Details

Journal
International Journal of Applied Pharmaceutics
Published
2025-03-07
DOI
https://doi.org/10.22159/ijap.2025v17i2.53192
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

COMPUTATIONAL MULTI-FACTOR MODELING TO THE SIMULTANEOUS DETERMINATION OF ASSAY AND RELATED SUBSTANCES METHOD DEVELOPMENT, VALIDATION, AND IDENTIFICATION OF MAJOR DEGRADATION PRODUCT OF COVID-19 DRUG MOLNUPIRAVIR BY HPLC: A STRATEGIC RESEARCH USING AQ

Sumanta Mondal, Sandip Kumar Dey
International Journal of Applied Pharmaceutics
Computational Drug Discovery Methods
article

COMPUTATIONAL MULTI-FACTOR MODELING TO THE SIMULTANEOUS DETERMINATION OF ASSAY AND RELATED SUBSTANCES METHOD DEVELOPMENT, VALIDATION, AND IDENTIFICATION OF MAJOR DEGRADATION PRODUCT OF COVID-19 DRUG MOLNUPIRAVIR BY HPLC: A STRATEGIC RESEARCH USING AQ

Sumanta Mondal, Sandip Kumar Dey
article en

Abstract

Objective: In the current study, a new approach was developed for the simultaneous determination of molnupiravir with its degradation products using RP-HPLC by following the Analytical Quality by Design (AQbD) approach, a proactive strategy for advancing pharmaceutical research. Methods: Development was carried out by applying the two levels of fractional factorial design (2[5-1] with Resolution: V, four center points, and no replicates) to the five independent factors. The separation was achieved using liquid chromatography, equipped with XBridge BEH Shield (250 mm x 4.6 mm, 3.5 µm) RP18 column at 260 nm with gradient elution. A force degradation study was performed in different stressed conditions and a major degradant was identified using modern analytical techniques. Results: The dependent factors were assessed against independent factors using the H-N plot, Pareto chart, and 3D surface plot applied through ANOVA. Major degradant obtained from stress study was identified and characterized using LC-MS, NMR, and FTIR techniques. The analytical method was found to be specific, precise (% RSD ≤ 2.0), linear (r = 0.9999) and accurate (99.2-101.4 %) with a 0.2-0.6 mg/ml range. The LOD and LOQ were 0.02 % (0.08 µg/ml, S/N ratio ≥ 3) and 0.05 % (0.2 µg/ml, S/N ratio ≥ 10, % RSD: 2.2) respectively. The analytical solutions were stable for 48 hour in the clear glassware at room temperature. The study depicts the successful development and validation of a simultaneous determination of assay and related substances by RP-HPLC using Design of Experiments (DoE) approach. Conclusion: A Fractional Factorial Design (FFD) experiment explored the interactions of dependent with independent factors using Design Expert software, version 13.0. This AQbD-driven approach provided an in-depth understanding of chromatographic separation factors, ensuring method reliability and effectiveness for simultaneously determining the purity and impurity of molnupiravir, assisting in regulatory compliance.

International Journal of Applied Pharmaceutics
GITAM University (IN)
Gandhi Institute of Technology and Management
Openalex Percentile: Top 94%
Computational Drug Discovery Methods
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