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      Lipid-Based Nanocarriers for Ophthalmic Administration: Towards Experimental Design Implementation

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          Abstract

          Nanotherapeutics based on biocompatible lipid matrices allow for enhanced solubility of poorly soluble compounds in the treatment of ophthalmic diseases, overcoming the anatomical and physiological barriers present in the eye, which, despite the ease of access, remains strongly protected. Micro-/nanoemulsions, solid lipid nanoparticles (SLN) or nanostructured lipid carriers (NLC) combine liquid and/or solid lipids with surfactants, improving drug stability and ocular bioavailability. Current research and development approaches based on try-and-error methodologies are unable to easily fine-tune nanoparticle populations in order to overcome the numerous constraints of ocular administration routes, which is believed to hamper easy approval from regulatory agencies for these systems. The predictable quality and specifications of the product can be achieved through quality-by-design (QbD) implementation in both research and industrial environments, in contrast to the current quality-by-testing (QbT) framework. Mathematical modelling of the expected final nanoparticle characteristics by variation of operator-controllable variables of the process can be achieved through adequate statistical design-of-experiments (DoE) application. This multivariate approach allows for optimisation of drug delivery platforms, reducing research costs and time, while maximising the understanding of the production process. This review aims to highlight the latest efforts in implementing the design of experiments to produce optimised lipid-based nanocarriers intended for ophthalmic administration. A useful background and an overview of the different possible approaches are presented, serving as a starting point to introduce the design of experiments in current nanoparticle research.

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          Impact of Particle Size and Polydispersity Index on the Clinical Applications of Lipidic Nanocarrier Systems

          Lipid-based drug delivery systems, or lipidic carriers, are being extensively employed to enhance the bioavailability of poorly-soluble drugs. They have the ability to incorporate both lipophilic and hydrophilic molecules and protecting them against degradation in vitro and in vivo. There is a number of physical attributes of lipid-based nanocarriers that determine their safety, stability, efficacy, as well as their in vitro and in vivo behaviour. These include average particle size/diameter and the polydispersity index (PDI), which is an indication of their quality with respect to the size distribution. The suitability of nanocarrier formulations for a particular route of drug administration depends on their average diameter, PDI and size stability, among other parameters. Controlling and validating these parameters are of key importance for the effective clinical applications of nanocarrier formulations. This review highlights the significance of size and PDI in the successful design, formulation and development of nanosystems for pharmaceutical, nutraceutical and other applications. Liposomes, nanoliposomes, vesicular phospholipid gels, solid lipid nanoparticles, transfersomes and tocosomes are presented as frequently-used lipidic drug carriers. The advantages and limitations of a range of available analytical techniques used to characterize lipidic nanocarrier formulations are also covered.
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            Response surface methodology (RSM) as a tool for optimization in analytical chemistry.

            A review about the application of response surface methodology (RSM) in the optimization of analytical methods is presented. The theoretical principles of RSM and steps for its application are described to introduce readers to this multivariate statistical technique. Symmetrical experimental designs (three-level factorial, Box-Behnken, central composite, and Doehlert designs) are compared in terms of characteristics and efficiency. Furthermore, recent references of their uses in analytical chemistry are presented. Multiple response optimization applying desirability functions in RSM and the use of artificial neural networks for modeling are also discussed.
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              THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS

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                Author and article information

                Contributors
                Role: Academic Editor
                Role: Academic Editor
                Role: Academic Editor
                Journal
                Pharmaceutics
                Pharmaceutics
                pharmaceutics
                Pharmaceutics
                MDPI
                1999-4923
                26 March 2021
                April 2021
                : 13
                : 4
                : 447
                Affiliations
                [1 ]Department of Food and Drug, University of Parma, Viale Parco Area delle Scienze, 27/a, 43124 Parma, Italy; annalisa.bianchera@ 123456unipr.it (A.B.); sara.nicoli@ 123456unipr.it (S.N.)
                [2 ]Nanovector S.r.l., Via Livorno, 60, 10144 Torino, Italy; paolo.gasco@ 123456nanovector.it
                Author notes
                Author information
                https://orcid.org/0000-0003-2862-4037
                https://orcid.org/0000-0002-3160-9586
                https://orcid.org/0000-0001-6955-0957
                https://orcid.org/0000-0002-6131-4375
                Article
                pharmaceutics-13-00447
                10.3390/pharmaceutics13040447
                8067198
                33810399
                eb5dbeaf-18cb-464d-ad72-9b78ffabeb20
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 26 February 2021
                : 23 March 2021
                Categories
                Review

                design of experiments,optimisation,ocular delivery,solid lipid nanoparticles,sln,nanostructured lipid carriers,nlc,microemulsion,quality by design,factorial design

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