Developing a Validated HPLC Method for Quantification of Ceftazidime Employing Analytical Quality by Design and Monte Carlo Simulations.

BACKGROUND: Ceftazidime, a third-generation cephalosporin, is widely used in the treatment of lung infections, often given as "off-label" nebulization. There is a need to develop a sensitive and robust analytical method to compute aerodynamic properties of ceftazidime following nebulization. OBJECTIVE: The current study entails development of a simple, accurate, and sensitive HPLC method for ceftazidime estimation, employing the principles of analytical quality-by-design (AQbD) and Monte Carlo simulations. METHOD: Selection of critical material attributes (CMAs) affecting method performance was accomplished by factor screening exercises. Subsequently, the influential CMAs, i.e., mobile phase ratio and flow rate, were systemically optimized using a face-centered cubic design for the chosen critical analytical attributes (CAAs). The factor relationship(s) between CMAs and CAAs was explored employing a 3 D-response surface and 2 D-contour plots, followed by numerical as well as graphical optimization, for establishing the optimal chromatographic conditions. The obtained method operable design region was validated by Monte Carlo simulations for defect rate analysis. RESULTS: The optimized HPLC conditions for estimating ceftazidime were acetonitrile to acetic acid solution (75:25) as mobile phase at a flow rate of 0.7 mL/min, leading to Rt of 4.5 min and peak tailing ≤2. Validation studies, as per International Conference on Harmonization Q2(R1) guidance, demonstrated high sensitivity, accuracy, and efficiency of the developed analytical method with an LOD of 0.075 and LOQ of 0.227 µg/mL. Application of this chromatographic method was extrapolated for determining aerodynamic performance by nebulizing ceftazidime at a flow rate of 15 L/min using a next-generation impactor. The study indicated superior performance, sensitivity, and specificity of the developed analytical system for quantifying ceftazidime. CONCLUSIONS: Application of an AQbD approach, coupled with Monte Carlo simulations, aided in developing a robust HPLC method for estimationof ceftazidime per se and on various stages of impactor. HIGHLIGHTS: (i) QbD-enabled development of robust RP-HPLC method for ceftazidime quantification, (ii) Analytical method optimization employing Risk Assessment and Design of Experiments, (iii) Design space verification and defect rate analysis using Monte Carlo simulations, (iv) Chromatographic method validation as per ICH Q2 R1 guidelines and (v) Quantitative estimation of ceftazidime on various stages of impactor.

QbD-steered development and validation of an RP-HPLC method for quantification of ferulic acid: Rational application of chemometric tools.

The present work describes the systematic development of a simple, rapid, sensitive, robust, effective and cost-effective reversed-phase high performance liquid chromatographic method for quantitative analysis of ferulic acid using analytical quality by design paradigms. Initially, apt wavelength for the analysis of ferulic acid was selected employing principal component analysis as the chemometric tool. An Ishikawa fishbone diagram was constructed to delineate various plausible variables influencing analytical target profile, viz. peak area, theoretical plate count, retention time and peak tailing as the critical analytical attributes. Risk assessment using risk estimation matrix and factor screening studies employing Taguchi design aided in demarcating two critical method parameters, viz. mobile phase ratio and flow rate affecting critical analytical attributes. Subsequently, the optimum operational conditions of the liquid chromatographic method were delineated using face-centred composite design. Multicollinearity among the chosen factors for optimization was analyzed by the magnitude of variance inflation factor optimized analytical design space, providing optimum method performance, was earmarked using numerical and graphical optimization and corroborated using Monte Carlo simulations. Validation, as per the ICH Q2(R1) guidelines, ratified the efficiency and sensitivity of the developed novel analytical method of ferulic acid in the mobile phase and the human plasma matrix. The optimal method used a mobile phase, comprising of acetonitrile: water (47:53% v/v, pH adjusted to 3.0 with glacial acetic acid), at a flow rate of 0.8 mL·min-1, at a λmax of 322 nm using a C18 column. Use of principal component analysis unearthed the suitable wavelength for analysis, while analytical quality by design approach, along with Monte Carlo simulations, facilitated the identification of influential variables in obtaining the "best plausible" validated chromatographic solution for efficient quantification of ferulic acid.