In-vitro and In-vivo Correlation [IVIVC] for Nanoparticulate Drug Delivery Systems

Title:In-vitro and In-vivo Correlation [IVIVC] for Nanoparticulate Drug Delivery Systems

Volume: 7 Issue: 3

Author(s): Namrata V. Mange, Mayuri S. Desai, Jaimini K. Gandhi and Pranav J. Shah*

Affiliation:

• Maliba Pharmacy College, Uka Tarsadia University, Gopal Vidyanagar, Tarsadi, Bardoli -Mahuva Road, Dist. Surat, 394350,India

Keywords: IVIVC, BCS class, liposomes, niosomes, SLN, transferosomes, lipid based formulations, bioavailability.

Abstract: Background and Objective: Lipid based nanoformulations have attracted a lot of attention in recent market because of their nano size properties, high degree of biocompatibility and versatility. Various lipid based formulation are available in market like liposomes, niosomes, solid lipid nanoparticles, nano structured lipid carrier for oral, topical, pulmonary or parenteral route based on disease conditions.

Discussion: Whenever lipid based formulation is developed then there is a necessity to check its oral bioavailability in human which is very time consuming process and cost of process is also increases. IVIVC is great tool for such a lipid based nanoformulations. IVIVC predictive mathematical model describes the relationship between an in-vitro property of a dosage form and it's in-vivo response. IVIVC can be used in the development of new pharmaceuticals to reduce the number of human studies during the formulation development and ultimately it decreases time which spent during in-vivo study.

Conclusion: Thus, the main objective of an IVIVC is to serve as a surrogate for in-vivo bioavailability study and also support biowaivers. This article provides the information about levels of IVIVC, purpose of IVIVC, factors affecting IVIVC, various steps involved in IVIVC development, IVIVC study in lipid based formulation.

Cite this article as:

Mange V. Namrata , Desai S. Mayuri , Gandhi K. Jaimini and Shah J. Pranav *, In-vitro and In-vivo Correlation [IVIVC] for Nanoparticulate Drug Delivery Systems, Drug Delivery Letters 2017; 7 (3) . https://dx.doi.org/10.2174/2210303107666170929113947