Strain‐Programmable Luminescent Adhesive Patch With Tartrazine‐Mediated Optical Skin Clearing for Photochemical Tissue Bonding

ABSTRACT Phototherapy offers a non‐pharmacological modality for wound repair used in routine clinical practice. However, the wavelength‐dependent absorption and scattering within the skin markedly attenuate the penetration depth of visible light at the therapeutic target. Herein, we develop a strain‐programmable luminescent adhesive patch with tartrazine (Tar)‐mediated optical skin clearing for photochemical tissue bonding (PTB). Hyaluronic acid (HA) facilitates the transdermal delivery of Tar to improve optical skin clearing and stabilizes its interaction with a photosensitizer. Optical skin clearing increases the visible‐light penetration into skin tissues and the patch mechanically contracts the wound gap while emitting sustained green luminescence to photoactivate rose bengal (RB) for collagen crosslinking. In a murine incisional wound model, a single treatment accelerates collagen fibrillogenesis, increases interfacial tensile strength, and produces continuous wound‐edge apposition with organized collagen deposition and modulated inflammatory markers. These findings point to a practical application to light‐based wound sealing that complements sutures and would open a big avenue for further biophotonic applications in dermatology and tissue regeneration.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2026-04-22
DOI
https://doi.org/10.1002/adfm.202529087
Primary Topic
Wound Healing and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Strain‐Programmable Luminescent Adhesive Patch With Tartrazine‐Mediated Optical Skin Clearing for Photochemical Tissue Bonding

Inhoo Choi, Sei Kwang Hahn, K.-H. Park, Seong‐Jong Kim et al.
Advanced Functional Materials
Wound Healing and Treatments
article

Strain‐Programmable Luminescent Adhesive Patch With Tartrazine‐Mediated Optical Skin Clearing for Photochemical Tissue Bonding

Inhoo Choi, Sei Kwang Hahn, K.-H. Park, Seong‐Jong Kim, Jun Hee Kim, Kyungjoo Jo, Jong Hyeong Cho
article en

Abstract

ABSTRACT Phototherapy offers a non‐pharmacological modality for wound repair used in routine clinical practice. However, the wavelength‐dependent absorption and scattering within the skin markedly attenuate the penetration depth of visible light at the therapeutic target. Herein, we develop a strain‐programmable luminescent adhesive patch with tartrazine (Tar)‐mediated optical skin clearing for photochemical tissue bonding (PTB). Hyaluronic acid (HA) facilitates the transdermal delivery of Tar to improve optical skin clearing and stabilizes its interaction with a photosensitizer. Optical skin clearing increases the visible‐light penetration into skin tissues and the patch mechanically contracts the wound gap while emitting sustained green luminescence to photoactivate rose bengal (RB) for collagen crosslinking. In a murine incisional wound model, a single treatment accelerates collagen fibrillogenesis, increases interfacial tensile strength, and produces continuous wound‐edge apposition with organized collagen deposition and modulated inflammatory markers. These findings point to a practical application to light‐based wound sealing that complements sutures and would open a big avenue for further biophotonic applications in dermatology and tissue regeneration.

Advanced Functional Materials
Pohang University of Science and Technology (KR)
Openalex Percentile: Top 7%
Wound Healing and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.