Version 1
: Received: 24 October 2023 / Approved: 25 October 2023 / Online: 25 October 2023 (09:03:15 CEST)
How to cite:
Pande, S. Factors Affecting Response Variables with Emphasis on Drug Release and Loading for Optimization of Drug-Loaded Liposomes. Preprints2023, 2023101618. https://doi.org/10.20944/preprints202310.1618.v1
Pande, S. Factors Affecting Response Variables with Emphasis on Drug Release and Loading for Optimization of Drug-Loaded Liposomes. Preprints 2023, 2023101618. https://doi.org/10.20944/preprints202310.1618.v1
Pande, S. Factors Affecting Response Variables with Emphasis on Drug Release and Loading for Optimization of Drug-Loaded Liposomes. Preprints2023, 2023101618. https://doi.org/10.20944/preprints202310.1618.v1
APA Style
Pande, S. (2023). Factors Affecting Response Variables with Emphasis on Drug Release and Loading for Optimization of Drug-Loaded Liposomes. Preprints. https://doi.org/10.20944/preprints202310.1618.v1
Chicago/Turabian Style
Pande, S. 2023 "Factors Affecting Response Variables with Emphasis on Drug Release and Loading for Optimization of Drug-Loaded Liposomes" Preprints. https://doi.org/10.20944/preprints202310.1618.v1
Abstract
Drug delivery through Liposomes has shown tremendous potential in terms of the therapeutic application of nanoparticles. There are several drug-loaded liposomal formulations approved for clinical use that help mitigate harmful effects of life-threatening diseases. Developments in the field of liposomal formulations and drug delivery have made it possible for clinicians and researchers to find therapeutic solutions for complicated medical conditions. A key aspect in the development of drug-loaded liposomes is a careful review of optimization techniques to improve the overall formulation stability and efficacy. Optimization studies help in improving/modulating the various properties of drug-loaded liposomes and are vital for the development of this class of delivery systems. A comprehensive overview of the various process variables and factors involved in the optimization of drug-loaded liposomes is presented in this review. The influence of different independent variables on drug release and loading properties with the application of a statistical experimental design is also explained in this article.
Keywords
nanoparticles; liposomes; optimization; drug loading; experimental design
Subject
Chemistry and Materials Science, Nanotechnology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
