Green RP-HPLC method for the estimation of carfilzomib in bulk, protein nanocarriers and human plasma: Application of chemometrics and Monte-Carlo simulations.

Autor: Panjwani D; Department of Pharmaceutics, Parul Institute of Pharmacy, Parul University, Vadodara, Gujarat, India 391760., Patel A; Department of Pharmaceutics, Parul Institute of Pharmacy, Parul University, Vadodara, Gujarat, India 391760., Mishra D; Department of Pharmaceutics, Parul Institute of Pharmacy, Parul University, Vadodara, Gujarat, India 391760., Patel S; Department of Pharmaceutics, Parul Institute of Pharmacy, Parul University, Vadodara, Gujarat, India 391760., Patel V; Department of Civil and Petroleum Engineering, University of Alberta, Canada., Ram Yadav M; Research and Development Cell, Parul University, Vadodara, Gujarat, India 391760., Singh B; Emeritus Professor, Panjab University, Chandigarh, India.
Jazyk: angličtina
Zdroj: Journal of chromatography. B, Analytical technologies in the biomedical and life sciences [J Chromatogr B Analyt Technol Biomed Life Sci] 2024 Dec 01; Vol. 1249, pp. 124350. Date of Electronic Publication: 2024 Nov 09.
DOI: 10.1016/j.jchromb.2024.124350
Abstrakt: Carfilzomib is a tetrapeptide epoxyketone that has shown potential clinical outcomes in the treatment of multiple myeloma. However, inaccuracies in quantifying such peptide drug products have arisen due to poor stability, low solubility, time-consuming techniques, complex physicochemical properties, and use of non-green solvents with less recyclability. This provides a substantial urge to develop an ecological and sensitive analytical method for quantifying peptide drugs from matrix formulation and biological samples in early as well as lateral stages of product development in pharma industries. As a result, the study aimed to develop a robust ecological method for estimation of carfilzomib via Green RP-HPLC using analytical quality by design (AQbD) paradigms with specific application in protein nanoparticles and biological matrix. Initially, an appropriate wavelength for quantification of carfilzomib was chosen using principal component analysis (PCA) as a chemometric tool.Risk assessment followed by factor screening studies using 8-factor Placket-Burman Design aided in earmarking critical method parameters (CMPs) affecting critical analytical attributes (CAAs). Further, Central Composite Design (CCD) was employed for design space optimisation to demarcate optimum chromatographic conditions, which were corroborated for robustness using Monte-Carlo simulations. The method was validated as per ICH Q2 (R2), followed by quantifying the greenness of the method using Green Assessment tools. The method optimisation resulted in the optimal chromatographic conditions using Green RP-HPLC. The chromatographic system was equipped with a Phenomenex Aeris Peptide-XC C 18 column (150 × 4.6 mm × 5 µm), and the mobile phase was composed of isopropanol:methanol:0.1 M PBS (pH 5.5 adjusted using 0.1 % formic acid) (35:45:20v/v), with a 1 ml/min flow rate at a 210 nm ʎmax. The optimised chromatographic conditions resulted in a short retention time (RT) of 4.95 mins, 0.87 tailing factor (TF), 4,875,122 peak area (PA), and 8995 theoretical plate count (TPC). The method demonstrated linearity in a wide range of concentrations (0.1-20 µg/ml) with a correlational coefficient of 0.997 and < 2 % RSD. The method unearthed a high precision rate with more than 95 % of drug recovery in protein nanoparticles and human plasma, thereby confirming the accuracy and sensitivity of the developed method. Chemometrics and Monte-Carlo simulations ratified the robustness and sensitivity of the developed analytical method of Carfilzomib with established greenness and a high degree of practical utility in protein-based nano formulations and human plasma matrix for life cycle product development.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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