Insights of Lipid-Based Drug Delivery Systems with an Emphasis on Quality by Design

Abstract

Lipid-based drug delivery systems offer several advantages and have wide solubility, permeation, and bioavailability enhancement applications. This review provides detailed information on the fabrication, application and aspects of QbD of various lipid-based vesicles. Most of the review studies focused on lipid-based vesicles without the QbD aspect. This review article covers all the lipid-based systems in escalating on the method of QbD, which enhances the bioavailability of active pharmaceutical ingredients in different formulation approaches. Among all the different available approaches towards formulation development, lipid-based drug delivery systems (LBDDS) have continually maintained the limelight on themselves. One of the reasons for the popularity of LBDDS is their ability to solve problems with poorly water-soluble drugs and their bioavailability. Several drugs' efficacy was improved by utilizing this type of delivery system. Vesosomes, Phytosomes, Solid Lipid Nanoparticles (SLNs), Nanostructured Lipid Carriers (NLCs), and Archaeosomes are novel lipid-based systems with unique applications in drug delivery. Hence, the present perspective is to review the various LBDDS approaches utilized to enhance the formulations' performance while dissecting the studies systematically to get a clear outline of various LBDD subsystems, their applications, methods of preparation, and the mechanism of drug delivery. In addition to this, the review also focuses on overcoming the lacunas of the past literature by making an attempt to identify Quality target product profile (QTPP), Critical quality attributes (CQAs) and applying them for the statistical design of experiments and continuous strategy by QbD at the same time harnessing their potential in risk assessment. Applying QbD in developing lipid-based drug delivery systems reduces the number of trials and yields a product with in-built quality as it deliberates various critical variables, process parameters, risk assessment, and control strategy in formulation development.