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AIEgens for in vitro and in vivo pathogen visualization
Xiaohan Xie1, Yanan Zhao1, Xingqi Liu1
1State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, Institute of Zoonosis, and College of Veterinary Medicine, Jilin University, Changchun, Jilin 130062, China. xiaohanxie2023@163.com.
Aggregation-induced emission luminogens (AIEgens) offer a promising solution for infectious disease detection. These advanced materials enable sensitive pathogen identification and real-time imaging, addressing critical diagnostic challenges.
Area of Science:
- Biomedical Engineering
- Materials Science
- Infectious Disease Diagnostics
Background:
- Infectious diseases pose a significant global health burden.
- Challenges include delayed diagnosis and the rise of multidrug resistance.
- Novel diagnostic tools are crucial for effective disease management.
Purpose of the Study:
- To review recent advancements in the application of aggregation-induced emission luminogens (AIEgens) for infectious disease research.
- To highlight the potential of AIEgens in sensitive pathogen detection and real-time imaging.
- To explore the use of AIEgens in diagnostics and theranostics.
Main Methods:
- Literature review of recent studies on AIEgens in infectious disease applications.
- Analysis of AIEgen properties such as photostability, biocompatibility, and turn-on fluorescence.
- Evaluation of AIEgen-based methods for in vitro and in vivo visualization and diagnostics.
Main Results:
- AIEgens demonstrate high photostability and biocompatibility.
- Their turn-on fluorescence enables sensitive pathogen detection.
- AIEgen-based strategies show promise for real-time imaging and diagnostics.
- Emerging applications in theranostics are being explored.
Conclusions:
- AIEgens represent a powerful platform for advancing infectious disease diagnostics.
- Their unique optical properties facilitate sensitive and real-time pathogen detection.
- Further research into AIEgen-based theranostics could lead to improved patient outcomes.
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