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Postoperative Long-Term Monitoring of Mechanical Characteristics in Reconstructed Soft Tissues Using Biocompatible, Immune-Tolerant, and Wireless Electronic Sutures
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Title
Postoperative Long-Term Monitoring of Mechanical Characteristics in Reconstructed Soft Tissues Using Biocompatible, Immune-Tolerant, and Wireless Electronic Sutures
Issued Date
2024-05
Citation
Lee, Mugeun. (2024-05). Postoperative Long-Term Monitoring of Mechanical Characteristics in Reconstructed Soft Tissues Using Biocompatible, Immune-Tolerant, and Wireless Electronic Sutures. ACS Nano, 18(19), 12210–12224. doi: 10.1021/acsnano.4c00396
Type
Article
Author Keywords
fiber sensorsin vivo strain sensorsimplantable sensorselectronic suturepostoperative monitoringmusculoskeletal soft tissues
Keywords
ACHILLES-TENDON-RUPTURESKELETAL-MUSCLEREHABILITATIONREPAIR
ISSN
1936-0851
Abstract
Accurate postoperative assessment of varying mechanical properties is crucial for customizing patient-specific treatments and optimizing rehabilitation strategies following Achilles tendon (AT) rupture and reconstruction surgery. This study introduces a wireless, chip-less, and immune-tolerant in vivo strain-sensing suture designed to continuously monitor mechanical stiffness variations in the reconstructed AT throughout the healing process. This innovative sensing suture integrates a standard medical suturing thread with a wireless fiber strain-sensing system, which incorporates a fiber strain sensor and a double-layered inductive coil for wireless readout. The winding design of Au nanoparticle-based fiber electrodes and a hollow core contribute to the fiber strain sensor’s high sensitivity (factor of 6.2 and 15.1 pF for revised sensitivity), negligible hysteresis, and durability over 10,000 stretching cycles. To ensure biocompatibility and immune tolerance during extended in vivo periods, an antibiofouling lubricant layer was applied to the sensing suture. Using this sensing system, we successfully monitored the strain responses of the reconstructed AT in an in vivo porcine model. This facilitated the postoperative assessment of mechanical stiffness variations through a well-established analytical model during the healing period. © 2024 American Chemical Society
URI
http://hdl.handle.net/20.500.11750/56588
DOI
10.1021/acsnano.4c00396
Publisher
American Chemical Society
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이재홍
Lee, Jaehong이재홍

Department of Robotics and Mechatronics Engineering

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