Quality by design tools reducing the gap from bench to bedside for nanomedicine

[Display omitted] Pharmaceutical nanotechnology research is focused on smart nano-vehicles, which can deliver active pharmaceutical ingredients to enhance their efficacy through any route of administration and in the most varied therapeutical application. The design and development of new nanopharma...

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Bibliographic Details
Published in:European journal of pharmaceutics and biopharmaceutics 2021-12, Vol.169, p.144-155
Main Authors: Bonaccorso, Angela, Russo, Giulia, Pappalardo, Francesco, Carbone, Claudia, Puglisi, Giovanni, Pignatello, Rosario, Musumeci, Teresa
Format: Article
Language:English
Subjects:
Benchmarking
Design
Drug Design - methods
Drug Design - trends
Humans
Modelling
Nanotechnology
Nanotechnology - instrumentation
Nanotechnology - methods
Nanotechnology - standards
Optimization
Pharmaceutical Vehicles - chemical synthesis
Pharmaceutical Vehicles - pharmacology
Pharmaceutics
Prediction
Quality Control
Technology, Pharmaceutical - standards
Technology, Pharmaceutical - trends
Validation
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Summary:[Display omitted] Pharmaceutical nanotechnology research is focused on smart nano-vehicles, which can deliver active pharmaceutical ingredients to enhance their efficacy through any route of administration and in the most varied therapeutical application. The design and development of new nanopharmaceuticals can be very laborious. In recent years, the application of mathematics, statistics and computational tools is emerging as a convenient strategy for this purpose. The application of Quality by Design (QbD) tools has been introduced to guarantee quality for pharmaceutical products and improve translational research from the laboratory bench into applicable therapeutics. In this review, a collection of basic-concept, historical overview and application of QbD in nanomedicine are discussed. A specific focus has been put on Response Surface Methodology and Artificial Neural Network approaches in general terms and their application in the development of nanomedicine to monitor the process parameters obtaining optimized system ensuring its quality profile.
ISSN:0939-6411
1873-3441
DOI:10.1016/j.ejpb.2021.10.005