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Updated: May 31, 2026

Generation of a Simplified Three-Dimensional Skin-on-a-chip Model in a Micromachined Microfluidic Platform
Published on: May 17, 2021
Engineering skin microphysiological systems for transdermal drug screening based on strategic model selection and
Jongwoo Ahn1, Geonho Jin1, Minji Cho1
1Department of Biomedical Engineering, Dongguk University, Goyang, 10326, Republic of Korea.
Skin microphysiological systems (MPS) offer advanced platforms for transdermal drug screening, overcoming limitations of static methods. These models provide more accurate assessments of drug transport, efficacy, and toxicity by better mimicking human skin physiology.
Area of Science:
- Biomedical Engineering
- Pharmacology
- Dermatology
Background:
- Transdermal drug delivery systems (TDDS) are increasingly important, necessitating advanced screening platforms.
- Conventional methods like Franz diffusion cells fail to replicate dynamic in vivo processes.
- Human skin physiology requires complex, dynamic models for accurate drug evaluation.
Purpose of the Study:
- To review the technical significance and applications of skin microphysiological systems (MPS) for transdermal drug screening.
- To critically assess the limitations of current ex vivo and in vitro methods.
- To highlight the advantages of MPS in recapitulating skin physiology for drug assessment.
Main Methods:
- Systematic review of skin microphysiological systems (MPS) design, evaluation metrics, and applications.
- Classification of MPS based on vascularization and flow conditions.
- Analysis of skin structure, permeation pathways, and physiological determinants of absorption.
Main Results:
- Skin MPS enhance the accuracy of permeability assessment compared to conventional methods.
- MPS enable more physiologically relevant evaluations of drug efficacy and toxicity.
- The strategic selection of MPS architecture is key for specific research objectives.
Conclusions:
- Skin MPS represent a significant advancement for transdermal drug screening platforms.
- Future directions include integrating MPS data with PBPK models for quantitative prediction.
- Challenges remain in standardization, structural fidelity, and regulatory translation for MPS adoption.
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