Doan Thanh Xuan , Hue Minh Thi Nguyen , Vu Dang Hoang
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引用次数: 0
Abstract
Analytical Quality-by-Design (AQbD) represents a systematic methodology for method development. The pharmaceutical and biopharmaceutical industries have increasingly recognized and applied AQbD concepts, guided by the overall framework provided by ICH. AQbD is established to ensure that an analytical procedure is fit for its intended purpose throughout its entire lifecycle, leading to a well-understood and purpose-driven method. It guides each stage of the analytical process lifecycle by establishing the Analytical Target Profile (ATP), identifying critical method parameters (CMPs), and selecting critical method attributes (CMAs). By employing screening and response-surface experimental designs, significant factors are pinpointed and optimized through statistical analysis. This methodology aids in defining the design space or Method Operable Design Region (MODR) to ensure consistent method performance. This review delves into the foundational principles of AQbD for method development and presents its latest applications in the period 2019–2024 with reference to chromatographic analysis of both non-synthetic and synthetic compounds in different sample matrices. The implementation of AQbD proved to generate more robust chromatographic methods, enhancing their efficiency in the process. Nevertheless, its adoption can be hindered owing to the necessity for a comprehensive grasp of statistical analysis and experimental design, coupled with the absence of standardized directives or regulatory prerequisites.
期刊介绍:
Chemometrics and Intelligent Laboratory Systems publishes original research papers, short communications, reviews, tutorials and Original Software Publications reporting on development of novel statistical, mathematical, or computer techniques in Chemistry and related disciplines.
Chemometrics is the chemical discipline that uses mathematical and statistical methods to design or select optimal procedures and experiments, and to provide maximum chemical information by analysing chemical data.
The journal deals with the following topics:
1) Development of new statistical, mathematical and chemometrical methods for Chemistry and related fields (Environmental Chemistry, Biochemistry, Toxicology, System Biology, -Omics, etc.)
2) Novel applications of chemometrics to all branches of Chemistry and related fields (typical domains of interest are: process data analysis, experimental design, data mining, signal processing, supervised modelling, decision making, robust statistics, mixture analysis, multivariate calibration etc.) Routine applications of established chemometrical techniques will not be considered.
3) Development of new software that provides novel tools or truly advances the use of chemometrical methods.
4) Well characterized data sets to test performance for the new methods and software.
The journal complies with International Committee of Medical Journal Editors'' Uniform requirements for manuscripts.