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  5. Anion Effect on Charged AIEgens‐Based Aggregates

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Article
en
2023

Anion Effect on Charged AIEgens‐Based Aggregates

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0 Files

en
2023
Vol 12 (9)
Vol. 12
DOI: 10.1002/adom.202301903

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Ben Zhong Tang
Ben Zhong Tang

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Qiong Liu
Kongqi Chen
Qiyun Deng
+3 more

Abstract

Abstract Charged aggregation‐induced emission luminogens (AIEgens) are highly valued materials with attractive applications. However, the discussion of charged AIEgens with the characteristics of charged compounds is always centered around the cationic luminescence part, and the possible influence brought by anion effects is usually ignored especially in the field of aggregate science. Coupled with the complicated synthesis and purification processes of the brand‐new cationic nucleus, it is paramount to develop simpler and more feasible methods to enhance cognition and extend their performance. Herein, three new ionic compounds based on TPE‐IQ‐2TPA (TI2T) cationic core utilizing an anion substitution strategy are investigated. Interestingly, this strategy can modify molecular aggregation behavior regarding the photophysical process and arrangement of the molecules. Consequently, fluorescence emission, reactive oxygen species (ROS) generation ability, and mechanochromism response properties varied accordingly. Moreover, this strategic regulation of the physical parameters of self‐assembled nanoparticles facilitates the visual identification of living or dead cells, while also selectively illuminating S. aureus and C. albicans . This study demonstrates that anion engineering is a powerful tool for investigating aggregated states and provides a new platform for practical applications of advanced materials, especially in the fields of stimulus‐response, biological imaging, medical diagnosis, and treatment.

How to cite this publication

Qiong Liu, Kongqi Chen, Qiyun Deng, Jianqing Li, Zhiming Wang, Ben Zhong Tang (2023). Anion Effect on Charged AIEgens‐Based Aggregates. , 12(9), DOI: https://doi.org/10.1002/adom.202301903.

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Publication Details

Type

Article

Year

2023

Authors

6

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1002/adom.202301903

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