Computer-assisted multifactorial method development for the streamlined separation and analysis of multicomponent mixtures in (Bio)pharmaceutical settings.
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| Title: | Computer-assisted multifactorial method development for the streamlined separation and analysis of multicomponent mixtures in (Bio)pharmaceutical settings. |
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| Authors: | Hemida, Mohamed1 (AUTHOR) mohdhamdy_84108@hotmail.com, Haidar Ahmad, Imad A.1 (AUTHOR) iahmad.umn@gmail.com, Barrientos, Rodell C.1 (AUTHOR), Regalado, Erik L.1 (AUTHOR) |
| Source: | Analytica Chimica Acta. Mar2024, Vol. 1293, pN.PAG-N.PAG. 1p. |
| Subjects: | Hydrophilic interaction liquid chromatography, Supercritical fluid chromatography, Liquid chromatography, Hydrophobic interactions |
| Abstract: | The (bio)pharmaceutical industry is rapidly moving towards complex drug modalities that require a commensurate level of analytical enabling technologies that can be deployed at a fast pace. Unsystematic method development and unnecessary manual intervention remain a major barrier towards a more efficient deployment of meaningful analytical assay across emerging modalities. Digitalization and automation are key to streamline method development and enable rapid assay deployment. This review discusses the use of computer-assisted multifactorial chromatographic method development strategies for fast-paced downstream characterization and purification of biopharmaceuticals. Various chromatographic techniques such as reversed-phase liquid chromatography (RPLC), hydrophilic interaction liquid chromatography (HILIC), ion exchange chromatography (IEX), hydrophobic interaction chromatography (HIC), and supercritical fluid chromatography (SFC) are addressed and critically reviewed. The most significant parameters for retention mechanism modelling, as well as mapping the separation landscape for optimal chromatographic selectivity and resolution are also discussed. Furthermore, several computer-assisted approaches for optimization and development of chromatographic methods of therapeutics, including linear, nonlinear, and multifactorial modelling are outlined. Finally, the potential of the chromatographic modelling and computer-assisted optimization strategies are also illustrated, highlighting substantial productivity improvements, and cost savings while accelerating method development, deployment and transfer processes for therapeutic analysis in industrial settings. [Display omitted] • Computer-Assisted multifactorial chromatographic strategies were addressed. • Using proper linear and non-linear models were discussed. • Applications in various chromatographic techniques are critically reviewed. • Important parameters for retention mechanism modelling are demonstrated. • Computer-Assisted optimization strategies are highlighted for generic methods. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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