Microstructure–Defect Engineering of Spinels for Self‐Powered and Recoverable Near‐Infrared Mechanoluminescence

ABSTRACT Different from traditional stimulus‐responsive luminescence systems, near‐infrared mechanoluminescence (NIR‐ML) materials have unique advantages in biomechanical sensing and deep‐tissue imaging. Their unique mechano‐optical conversion ability makes them promising candidates for emerging smart platforms; however, unclear mechanisms underlying self‐recoverable and self‐powered ML have hindered their further development toward practical applications. Here, we report a series of Cr 3+ ‐activated ML phosphors through spinel microstructure‐defect engineering in centrosymmetric hosts. By systematically regulating defect types, we clarify the distinct energy origins and mechanisms of self‐recoverable and self‐powered ML, both of which are governed by defect‐piezoelectric coupling effects. Here, Self‐recoverable ML mainly originates from intrinsic point defects associated with electron capture and release process during pre‐irradiation, while self‐powered ML arises from anti‐site defects associated with local structural distortion. Furthermore, by combining binary coding with convolutional neural network algorithms, a proof‐of‐concept NIR biomechanical monitoring and sensing model is designed to simulate luminescence during human biting. These findings elucidate the structure‐defect‐piezoelectric‐luminescence relationship and provide rational design principles for high‐performance NIR ML materials toward potential practical applications.

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Publication Details

Journal
Advanced Functional Materials
Published
2026-10-15
DOI
https://doi.org/10.1002/adfm.78878
Primary Topic
Luminescence Properties of Advanced Materials
Type
article
Field-Weighted Citation Impact
0.00

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article

Microstructure–Defect Engineering of Spinels for Self‐Powered and Recoverable Near‐Infrared Mechanoluminescence

Haiqiang Fang, Enhai Song, Peishan Shao, Changhong Linghu et al.
Advanced Functional Materials
Luminescence Properties of Advanced Materials
article

Microstructure–Defect Engineering of Spinels for Self‐Powered and Recoverable Near‐Infrared Mechanoluminescence

Haiqiang Fang, Enhai Song, Peishan Shao, Changhong Linghu, Bruno Viana, Jiulin Gan, Puxian Xiong, Yu-Ying Xiao, Shengbin Xu, Chengan Wang, Yumin Yin, Pan Zheng
article en

Abstract

ABSTRACT Different from traditional stimulus‐responsive luminescence systems, near‐infrared mechanoluminescence (NIR‐ML) materials have unique advantages in biomechanical sensing and deep‐tissue imaging. Their unique mechano‐optical conversion ability makes them promising candidates for emerging smart platforms; however, unclear mechanisms underlying self‐recoverable and self‐powered ML have hindered their further development toward practical applications. Here, we report a series of Cr 3+ ‐activated ML phosphors through spinel microstructure‐defect engineering in centrosymmetric hosts. By systematically regulating defect types, we clarify the distinct energy origins and mechanisms of self‐recoverable and self‐powered ML, both of which are governed by defect‐piezoelectric coupling effects. Here, Self‐recoverable ML mainly originates from intrinsic point defects associated with electron capture and release process during pre‐irradiation, while self‐powered ML arises from anti‐site defects associated with local structural distortion. Furthermore, by combining binary coding with convolutional neural network algorithms, a proof‐of‐concept NIR biomechanical monitoring and sensing model is designed to simulate luminescence during human biting. These findings elucidate the structure‐defect‐piezoelectric‐luminescence relationship and provide rational design principles for high‐performance NIR ML materials toward potential practical applications.

Advanced Functional Materials
Centre National de la Recherche Scientifique (FR), City University of Hong Kong (HK), Université Paris Sciences et Lettres (FR), Institut de Recherche de Chimie Paris (FR), State Key Laboratory of Luminescent Materials and Devices, University of Hong Kong (HK), South China University of Technology (CN)
City University of Hong Kong, National Natural Science Foundation of China
Openalex Percentile: Top 29%
Luminescence Properties of Advanced Materials
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