Micro-Strain Responsive Near-Infrared Mechanoluminescence for Potential Nondestructive Artificial Joint Stress Imaging

Journal Article (2025)
Author(s)

Wenhao Li (Harbin Engineering University)

Puxian Xiong (University of Hong Kong)

Xiaoxin Zheng (Harbin Engineering University)

Luyue Niu (Macau University of Science and Technology)

Lugui Cui (Harbin Engineering University)

Qingyu Wang (Harbin Engineering University)

Bruno Viana (PSL Research University)

P. Dorenbos (TU Delft - Applied Sciences)

Jianzhong Zhang (Harbin Engineering University)

Jing Ren (Harbin Engineering University)

Research Group
RST/Luminescence Materials
DOI related publication
https://doi.org/10.1002/adma.202505360 Final published version
More Info
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Publication Year
2025
Language
English
Research Group
RST/Luminescence Materials
Journal title
Advanced Materials
Issue number
1
Volume number
38 (2026)
Article number
e05360
Downloads counter
133
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Abstract

Recently, joint replacement surgery is facing significant challenges of patient dissatisfaction and the need for revision procedures. In-situ monitoring of stress stability at the site of artificial joint replacement during postoperative evaluation is important. Mechanoluminescence (ML), a novel “force to light” conversion technology, may be used to monitor such bio-stress within tissues. However, this is hindered by ultraviolet–visible ML emission wavelength, low ML intensity, and high strain response sensitivity. Here, by incorporating Sb3+ ions into Sr3Sn2O7 crystals, a highly strain-responsive material, with ML originating from intrinsic defect emissions is obtained. The Sr3Sn1.98Sb0.02O6.99 film produces detectable ML signals under compressive strain as low as 50 µst in the absence of biological tissue. After pre-irradiating with red light through 15 mm of porcine tissue, ML signals can still be detected through the same tissue thickness. Notably, this material enabled real-time stress imaging through 4 mm of porcine skin during mild finger joint bending. This work presents a novel methodological framework and proposes a new mechanism to defect ML. It offers a fresh perspective for designing high-performance ML materials and lays the foundation for innovative research to enhance the functionality of artificial tissues and joints in living organism.