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Recent advances in transdermal drug delivery systems: a review

Open access
Jeong, Woo Yeup, Kwon, Mina, Choi, Hye Eun, Kim, Ki Su·2021·Biomaterials Research

Abstract

Various non-invasive administrations have recently emerged as an alternative to conventional needle injections. A transdermal drug delivery system (TDDS) represents the most attractive method among these because of its low rejection rate, excellent ease of administration, and superb convenience and persistence among patients. TDDS could be applicable in not only pharmaceuticals but also in the skin care industry, including cosmetics. Because this method mainly involves local administration, it can prevent local buildup in drug concentration and nonspecific delivery to tissues not targeted by the drug. However, the physicochemical properties of the skin translate to multiple obstacles and restrictions in transdermal delivery, with numerous investigations conducted to overcome these bottlenecks. In this review, we describe the different types of available TDDS methods, along with a critical discussion of the specific advantages and disadvantages, characterization methods, and potential of each method. Progress in research on these alternative methods has established the high efficiency inherent to TDDS, which is expected to find applications in a wide range of fields.

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Metadata

Authors
Jeong, W. Y., Kwon, M., Choi, H. E., & Kim, K. S.
Venue
Biomaterials Research
Published
2021-02-12
Volume
25
Issue
1
Pages
24-24
ISSN
  • 1226-4601 (ISSN-L)
  • 2055-7124
OpenAlex
W3185697517
Cited by
593
References
62
FWCI
29.82
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Recent advances in transdermal drug delivery systems: a review. https://app.cochat.ai/papers/10.1186/s40824-021-00226-6
The paper
Jeong, W. Y., Kwon, M., Choi, H. E., & Kim, K. S. (2021). Recent advances in transdermal drug delivery systems: a review. Biomaterials Research. https://doi.org/10.1186/s40824-021-00226-6

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.