Near-infrared spectroscopy–enabled electromechanical systems for fast mapping of biomechanics and subcutaneous diagnosis

Fast and accurate assessment of skin mechanics holds great promise in diagnosing various epidermal diseases, yet substantial challenges remain in developing simple and wearable strategies for continuous monitoring. Here, we present a design concept, named active near-infrared spectroscopy patch (ANIRP) for continuously mapping skin mechanics. ANIRP addresses these challenges by integrating near-infrared (NIR) sensing with mechanical actuators, enabling rapid measurement (<1 s) of Young's modulus, high spatial sensing density (~1 cm<sup>2</sup>), and high spatial sensitivity (<1 mm). Unlike conventional electromechanical sensors, NIR sensors precisely capture vibrational frequencies propagated from the actuators without needing ultraclose contact, enhancing wearing comfort. Demonstrated examples include ANIRPs for comprehensively moduli mapping of artificial tissues with varied mechanical properties emulating tumorous fibrosis. On-body validation of the ANIRP across skin locations confirms its practical utility for clinical monitoring of epidermal mechanics, promising considerable advancements in real-time, noninvasive skin diagnostics and continuous health monitoring.

Authors

Institutions

Publication Details

Journal
Science Advances
Published
2024-11-13
DOI
https://doi.org/10.1126/sciadv.adq9358
Citations
6
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
1.11
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Near-infrared spectroscopy–enabled electromechanical systems for fast mapping of biomechanics and subcutaneous diagnosis

Yihang Wang, Brayden Davis, Wubin Bai, Wanrong Xie et al.
6 citations
Science Advances
Advanced Sensor and Energy Harvesting Materials
1.11
article

Near-infrared spectroscopy–enabled electromechanical systems for fast mapping of biomechanics and subcutaneous diagnosis

Yihang Wang, Brayden Davis, Wubin Bai, Wanrong Xie, Shuodao Wang, Jeffrey P. Henderson, Yihan Liu, Will Lipman, Priyash Hafiz, Lin Zhang, Zhibo Zhang, Ziheng Guo, Lillian Seymour, Pranav Turlapati, Daniel Ramsgard
article en
6 citations

Abstract

Fast and accurate assessment of skin mechanics holds great promise in diagnosing various epidermal diseases, yet substantial challenges remain in developing simple and wearable strategies for continuous monitoring. Here, we present a design concept, named active near-infrared spectroscopy patch (ANIRP) for continuously mapping skin mechanics. ANIRP addresses these challenges by integrating near-infrared (NIR) sensing with mechanical actuators, enabling rapid measurement (<1 s) of Young's modulus, high spatial sensing density (~1 cm<sup>2</sup>), and high spatial sensitivity (<1 mm). Unlike conventional electromechanical sensors, NIR sensors precisely capture vibrational frequencies propagated from the actuators without needing ultraclose contact, enhancing wearing comfort. Demonstrated examples include ANIRPs for comprehensively moduli mapping of artificial tissues with varied mechanical properties emulating tumorous fibrosis. On-body validation of the ANIRP across skin locations confirms its practical utility for clinical monitoring of epidermal mechanics, promising considerable advancements in real-time, noninvasive skin diagnostics and continuous health monitoring.

Science AdvancesVol. 10(46)
University of North Carolina at Chapel Hill (US), Oklahoma State University (US), UNC/NCSU Joint Department of Biomedical Engineering (US), Oklahoma State University Oklahoma City (US), Applied Physical Sciences (United States) (US), Michigan State University (US)
Openalex Percentile: Top 24%
Advanced Sensor and Energy Harvesting Materials
1.11
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.