2021
DOI: 10.1093/jaoacint/qsab014
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Developing a Validated HPLC Method for Quantification of Ceftazidime Employing Analytical Quality by Design and Monte Carlo Simulations

Abstract: Background Ceftazidime, a third-generation cephalosporin, is widely used in the treatment of lung infections, often given as “off-label” nebulization. There is need for developing 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 high-performance liquid chromatography method (HPLC… Show more

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Cited by 12 publications
(2 citation statements)
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“…The two factors at three levels expressed as Y (response) = (3) against two responses were employed in Design Expert (Stat-Ease Inc., 1300 Godward St NE #6400, Minneapolis, Minneapolis 55413) to investigate the impact of the selected factors (from HSPiP and Taguchi model) on the targeted responses (retention time as Y 1 and peak area as Y 2 ). These two factors significantly influence responses/attributes for the development of robust bioanalytical method for quantification of MCZ in plasma by optimizing ACN concentration at the explored working conditions. The target goals were minimum and maximum for Y 1 and Y 2 , respectively. Eq includes the studied factors ( X 1 and X 2 ) and coefficients (β 1 , β 2 , β 0 , β 3 , β 4 , and β 5 ) to understand the impact of the factors on the respective response, wherein negative and positive terms indicate the antagonistic and synergistic effect on the response, respectively. Y ( independent variable ) = β 0 + β 1 X 1 + β 2 X 2 + β 3 X 1 X 2 + β 4 X 1 2 + β 5 X 2 2 where β 0 , β 1 , and β 2 are the intercept, the coefficient of X 1 , and the coefficient of X 2 , respectively.…”
Section: Methodsmentioning
confidence: 99%
“…The two factors at three levels expressed as Y (response) = (3) against two responses were employed in Design Expert (Stat-Ease Inc., 1300 Godward St NE #6400, Minneapolis, Minneapolis 55413) to investigate the impact of the selected factors (from HSPiP and Taguchi model) on the targeted responses (retention time as Y 1 and peak area as Y 2 ). These two factors significantly influence responses/attributes for the development of robust bioanalytical method for quantification of MCZ in plasma by optimizing ACN concentration at the explored working conditions. The target goals were minimum and maximum for Y 1 and Y 2 , respectively. Eq includes the studied factors ( X 1 and X 2 ) and coefficients (β 1 , β 2 , β 0 , β 3 , β 4 , and β 5 ) to understand the impact of the factors on the respective response, wherein negative and positive terms indicate the antagonistic and synergistic effect on the response, respectively. Y ( independent variable ) = β 0 + β 1 X 1 + β 2 X 2 + β 3 X 1 X 2 + β 4 X 1 2 + β 5 X 2 2 where β 0 , β 1 , and β 2 are the intercept, the coefficient of X 1 , and the coefficient of X 2 , respectively.…”
Section: Methodsmentioning
confidence: 99%
“…18,19 Robustness: Robustness studies were performed by changing method parameters in system such as Flow rate (±0.1%), Ph (±0.1) and Composition of mobile phase (±5%). [20][21][22] Forced Degradation Studies 23-25…”
Section: Specificitymentioning
confidence: 99%