2021
DOI: 10.1016/j.biopha.2021.111940
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Quality by design (QbD) in the formulation and optimization of liquid crystalline nanoparticles (LCNPs): A risk based industrial approach

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Cited by 43 publications
(24 citation statements)
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“…Table 1 and Table 2 present the estimated interrelationships of the selected critical factors for CMA and CPP factors. High risk represents risk that is not acceptable due to safety/efficacy issues; medium risk is acceptable but needs investigation; and low risk means no further investigation is needed [ 27 ]. The classification of the impact of each factor was realized based on previous reports, which allowed us to obtain knowledge of space development and identify the principal high-risk factors that may impact the formulation of metal-based drug encapsulation in niosomes.…”
Section: Resultsmentioning
confidence: 99%
“…Table 1 and Table 2 present the estimated interrelationships of the selected critical factors for CMA and CPP factors. High risk represents risk that is not acceptable due to safety/efficacy issues; medium risk is acceptable but needs investigation; and low risk means no further investigation is needed [ 27 ]. The classification of the impact of each factor was realized based on previous reports, which allowed us to obtain knowledge of space development and identify the principal high-risk factors that may impact the formulation of metal-based drug encapsulation in niosomes.…”
Section: Resultsmentioning
confidence: 99%
“…The identification of process variables that affect the quality attributes of the final product require PAT innovative sensors that are capable of real-time physical and chemical characterization and analysis. In order to fulfill the ICH and QbD requirements for manufacturing of robust nanoparticles formulations, real-time monitorization using PAT instruments is needed [ 70 , 71 ]. Currently, a PAT instrument is implemented for nanoemulations and nanosuspensions manufacturing for real-time size and size distribution monitorization [ 72 ].…”
Section: Quality By Design (Qbd) Approach In Non-viral Vector Develop...mentioning
confidence: 99%
“…The wide variety of real-time process analyzers used to monitor process parameters or material attributes generate a high number of complex data sets. The comprehension of statistical DoE, response surface methodology, optimization and multivariate data analysis is important for understanding the multi-factorial relationship between the variables [ 70 , 71 , 73 ]. Statistical methods such as regression analysis and Analysis of Variance (ANOVA) are the tools for data analysis [ 14 ].…”
Section: Quality By Design (Qbd) Approach In Non-viral Vector Develop...mentioning
confidence: 99%
“…It is essential to verify the method in the development of analytical methods with the purpose of evaluating the performance of the method. Validation parameters encompass specificity, repeatability, precision, accuracy, linearity, limit of quantitation, limit of detection as well as robustness [39].…”
Section: Fundamentals Of Doementioning
confidence: 99%