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Metal-organic framework-based self-healing hydrogel fiber random lasers
Dexiang Zhu1, Zhouyuanhang Wang1, Jun Xie1
1Information Materials and Intelligent Sensing Laboratory of Anhui Province, Key Laboratory of Opto-Electronic Information Acquisition and Manipulation of Ministry of Education, School of Physics and Optoelectronic Engineering, Anhui University, Hefei, 230601, Anhui, P. R. China. sqli@ahu.edu.cn.
This study introduces a self-healing hydrogel fiber random laser using metal-organic frameworks (MOFs). The device exhibits robust lasing performance even after severe damage, recovering its function through self-healing properties.
Area of Science:
- Materials Science
- Optics
- Nanotechnology
Background:
- Metal-organic frameworks (MOFs) offer unique nanoporous structures suitable for optical resonant cavities in micro/nanolasers.
- Conventional MOF-based lasers face challenges in maintaining lasing performance upon cavity damage.
Purpose of the Study:
- To develop a novel MOF-based self-healing hydrogel fiber random laser (MOF-SHFRL) with enhanced durability.
- To investigate the self-healing capabilities and robust lasing performance of the MOF-SHFRL under extreme conditions.
Main Methods:
- Fabrication of MOF-based hydrogel fiber random lasers.
- Utilizing multiple scattering from MOF nanoparticles for optical feedback, independent of cavity integrity.
- Characterization of lasing performance, self-healing ability, and optical transmission after damage.
Main Results:
- The MOF-SHFRL demonstrates robust random lasing, independent of MOF cavity destruction.
- The device exhibits remarkable self-healing properties, fully recovering morphology and lasing performance after being broken.
- Optical transmission recovers over 90% after multiple damage and self-healing cycles, with a stable lasing threshold.
Conclusions:
- The MOF-SHFRL offers a highly stable optical device solution for applications requiring resilience.
- The self-healing and robust lasing characteristics position MOF-SHFRLs for potential use in harsh environments for sensing and monitoring.
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