Using the quality by design (QbD) approach to optimize formulations of lipid nanoparticles and nanoemulsions: A review

被引:59
|
作者
Cunha, Sara [1 ]
Costa, Claudia Pina [1 ]
Moreira, Joao Nuno [2 ,3 ]
Sousa Lobo, Jose Manuel [1 ]
Silva, Ana Catarina [1 ,4 ]
机构
[1] Univ Porto, Fac Pharm, Dept Drug Sci, UCIBIO REQUIMTE,MEDTECH,Lab Pharmaceut Technol, Porto, Portugal
[2] Univ Coimbra, Fac Med, CNC Ctr Neurosci & Cell Biol, Polo 1, Coimbra, Portugal
[3] Univ Coimbra, FFUC Fac Pharm, Polo Ciencias Saude, Coimbra, Portugal
[4] Univ Fernando Pessoa, Fac Hlth Sci, CEBIMED Biomed Res Ctr, FP ENAS,UFP Energy,Environm & Hlth Res Unit, Porto, Portugal
关键词
Quality by design; Optimization of formulations; Solid lipid nanoparticles; Nanostructured lipid carriers; Nanoemulsions; DRUG-DELIVERY-SYSTEMS; BOX-BEHNKEN DESIGN; IN-VITRO; PHARMACEUTICAL QUALITY; PRODUCT DEVELOPMENT; TOPICAL DELIVERY; CARRIERS NLC; BY-DESIGN; VARIABLES; PERMEATION;
D O I
10.1016/j.nano.2020.102206
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Quality-by-design (QbD) approach has been applied to optimize lipid-based nanosystems formulations, including solid lipid nanoparticles (SLN), nanostructured lipid carriers (NLC) and nanoemulsions, besides being increasingly requested by regulatory authorities. Different mathematical models and statistical tests have been used, with similar conclusions regarding the parameters that influence the physical features of the resulting nanosystems. These include, variations in composition (e.g. lipid(s) and/or emulsifier(s)) and manufacturing parameters (e.g. emulsification rate and/or time, sonication amplitude and/or time, and homogenization pressure and/or cycles). These are critical parameters that influence nanoparticle/globule mean size, polydispersity index, zeta potential, drug encapsulation efficiency and in vitro drug release. This review addresses the concepts and applications of QbD for the development of lipid-based nanosystems, reporting successful examples published in the last 2 years. Although, some limitations have been identified, it is expected that in the upcoming years the application of QbD in pharmaceutical development will be an established approach. (C) 2020 Elsevier Inc. All rights reserved.
引用
收藏
页数:17
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