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Drug Delivery: Overview

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The selection of a drug's delivery route depends upon its physicochemical properties, including lipid or water solubility and ionization, as well as the therapeutic requirement, such as immediate or sustained effect. These routes can be divided into three primary categories: enteral, parenteral, and topical.
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Polymeric Microneedle Array Fabrication by Photolithography

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Coupled Diffusion-Binding-Deformation Modelling for Phase-Transition Microneedles-Based Drug Delivery.

Prateek Ranjan Yadav¹, Diganta Bhusan Das², Sudip K Pattanayek¹

¹Department of Chemical Engineering, Indian Institute of Technology, Delhi 110016, India.

Journal of Pharmaceutical Sciences

|December 17, 2022

Summary

Phase-transition microneedles (PTMNs) offer non-invasive transdermal drug delivery (TDD). A new model optimizes PTMN design by predicting drug transport, improving controlled delivery for practical applications.

Keywords:

Mathematical modelling Phase-transition microneedle Solid mechanics Transdermal drug delivery

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Hollow Microneedle-based Sensor for Multiplexed Transdermal Electrochemical Sensing

Hollow Microneedle-based Sensor for Multiplexed Transdermal Electrochemical Sensing

Published on: June 1, 2012

Area of Science:

Biomedical Engineering
Materials Science
Pharmacology

Background:

Phase-transition microneedles (PTMNs) are emerging as a promising non-invasive transdermal drug delivery (TDD) system.
PTMNs utilize interstitial skin fluid (ISF) for drug transport without polymer dissolution, enabling delivery of diverse therapeutics.
Optimizing PTMN parameters is crucial for controlled drug release and practical TDD applications.

Purpose of the Study:

To develop and validate a predictive model for drug transport in PTMN-based TDD.
To investigate the influence of microneedle (MN) physicochemical properties and skin mechanics on drug delivery.
To establish a computational tool for the rational design and optimization of PTMN systems.

Main Methods:

Developed a coupled diffusion-binding-deformation model incorporating MN swelling, drug binding, and skin mechanical resistance.
Introduced contact mechanics at the MN-skin interface to simulate skin deformation effects.
Validated the model using in vitro insulin delivery data with polyvinyl alcohol (PVA) MNs and incorporated pharmacokinetic modeling for in vivo prediction.

Main Results:

The model accurately predicts drug transport behavior influenced by MN swelling and drug binding.
Skin mechanical properties were shown to impact MN swelling and overall drug release kinetics.
The model successfully predicted in vivo insulin concentrations, showing good agreement with experimental data.

Conclusions:

The developed model serves as a valuable tool for the predictive design and optimization of PTMN-based TDD systems.
Understanding the interplay between MN properties and skin mechanics is key to achieving controlled drug delivery.
This approach facilitates the advancement of PTMN technology for efficient and predictable transdermal therapeutics.