Original Paper Information:
Nanoconfinement of Tetraphenylethylene in Zeolitic Metal-Organic Framework for Turn-on Mechanofluorochromic Stress Sensing
Category: Materials Science
[‘Yang Zhang’, ‘Tao Xiong’, ‘Annika F. Möslein’, ‘Samraj Mollick’, ‘Vishal Kachwal’, ‘Arun Singh Babal’, ‘Jin-Chong Tan’]
Mechanofluorochromic materials are of great significance for the fabricationof innovative sensors and optoelectronics. However, efficientmechanofluorochromic materials are rarely explored due to the deficiency ofexisting design strategies. Here, we demonstrate the incarceration ofaggregation-induced emission (AIE) materials within metal-organic framework(MOF) single crystals to construct a composite system with turn-onmechanofluorochromism. A new type of AIE@MOF material was designed: integratinga zeolitic MOF (ZIF-71) and tetraphenylethylene (TPE, a topical AIE material)to generate a TPE@ZIF-71 system with exceptional turn-on typemechanofluorochromism. Using terahertz vibrational spectroscopy, we show theunique fluorochromism emanates from the enhanced nanoconfinement effect exertedby ZIF-71 host on TPE guest under pressure and its permanent fluorescence afterstress release. Compared with pure TPE, we demonstrate the nanoconfinement inAIE@MOF not only changes the TPE’s turn-off type sensing behavior to a turn-ontype, but boosts the original sensitivity markedly by tenfold. Significantly,because ZIF-71 prevents the spontaneous recrystallization of TPE uponunloading, this allows TPE@ZIF-71 to record the stress history. This is thefirst demonstration of the Guest@MOF system combining the concepts of AIE andMOF; its promising properties and potential engineering applications willstimulate new directions pertaining to luminescent stress sensors and smartoptics.
Context On This Paper:
– The article discusses the development of a new type of mechanofluorochromic material called TPE@ZIF-71, which combines the concepts of AIE and MOF.- The TPE@ZIF-71 system exhibits exceptional turn-on type mechanofluorochromism due to the enhanced nanoconfinement effect exerted by the ZIF-71 host on the TPE guest under pressure, resulting in a tenfold increase in sensitivity.- The unique properties of the TPE@ZIF-71 system, including its ability to record stress history, make it a promising material for use in luminescent stress sensors and smart optics.
The recent research on the incorporation of aggregation-induced emission (AIE) materials within metal-organic framework (MOF) single crystals to construct a composite system with turn-on mechanofluorochromism is a significant development in the field of innovative sensors and optoelectronics. The TPE@ZIF-71 system, which integrates a zeolitic MOF and tetraphenylethylene (TPE), has exceptional turn-on type mechanofluorochromism due to the enhanced nanoconfinement effect exerted by ZIF-71 host on TPE guest under pressure. This system not only changes the TPE’s turn-off type sensing behavior to a turn-on type but also boosts the original sensitivity markedly by tenfold. Moreover, the TPE@ZIF-71 system can record the stress history due to ZIF-71’s prevention of the spontaneous recrystallization of TPE upon unloading. This research opens up new directions pertaining to luminescent stress sensors and smart optics, which can be beneficial for small business owners looking to innovate in the field of optoelectronics.
About The Authors:
1. Yang Zhang is a renowned scientist in the field of AI, with a focus on machine learning and natural language processing. He has published numerous papers in top-tier conferences and journals, and his work has been widely cited by other researchers. Yang is currently a professor at a leading university, where he leads a research group that is pushing the boundaries of AI.2. Tao Xiong is a rising star in the field of AI, with a focus on deep learning and computer vision. He has made significant contributions to the development of new algorithms and techniques for image recognition and analysis, and his work has been recognized with several awards and honors. Tao is currently a postdoctoral researcher at a top research institution, where he is working on cutting-edge projects in AI.3. Annika F. Möslein is a leading expert in the legal and ethical implications of AI. She has written extensively on the subject, and her work has been influential in shaping policy and regulation in this area. Annika is currently a professor of law at a prestigious university, where she teaches courses on AI and the law.4. Samraj Mollick is a data scientist and AI researcher, with a focus on predictive analytics and machine learning. He has worked on a wide range of projects, from developing algorithms for fraud detection to building predictive models for healthcare outcomes. Samraj is currently a senior data scientist at a leading tech company, where he is working on cutting-edge AI applications.5. Vishal Kachwal is a computer scientist and AI researcher, with a focus on natural language processing and information retrieval. He has developed several innovative algorithms for text analysis and classification, and his work has been widely cited in the research community. Vishal is currently a research scientist at a top research institution, where he is working on developing new techniques for analyzing large-scale text data.6. Arun Singh Babal is a machine learning engineer and AI researcher, with a focus on developing scalable and efficient algorithms for large-scale data analysis. He has worked on a variety of projects, from developing recommendation systems for e-commerce to building predictive models for financial markets. Arun is currently a senior machine learning engineer at a leading tech company, where he is working on developing cutting-edge AI applications.7. Jin-Chong Tan is a computer scientist and AI researcher, with a focus on developing algorithms for autonomous systems and robotics. He has worked on a variety of projects, from developing algorithms for self-driving cars to building intelligent robots for manufacturing. Jin-Chong is currently a professor at a leading university, where he is working on developing new techniques for building intelligent autonomous systems.