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  5. Real-Time 3D Framework Tracing of Extracellular Polymeric Substances by an AIE-Active Nanoprobe

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Article
en
2021

Real-Time 3D Framework Tracing of Extracellular Polymeric Substances by an AIE-Active Nanoprobe

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en
2021
Vol 6 (11)
Vol. 6
DOI: 10.1021/acssensors.1c01821

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Ben Zhong Tang
Ben Zhong Tang

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Neng Yan
Yubing Hu
Ben Zhong Tang
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Abstract

Extracellular polymeric substances (EPS) are produced by many microorganisms and play an essential role in physiological systems such as nutrient storage and stress resistance. Besides, EPS show great potential in biomedical and therapeutic applications due to their biocompatibility and biodegradability. In situ noninvasive monitoring of the EPS produced by microorganisms is thus critical but has not yet been achieved. Herein, we developed a novel aggregation-induced emission (AIE) active nanoprobe enabling in situ visualization of the EPS distribution produced by various microorganisms (cyanobacteria, yeast, freshwater, and marine phytoplankton). The synthesized AIE-active nanoprobe displayed excellent specificity and precision for the staining of EPS, as well as strong photostability, showing great advantage in sensing the EPS in living organisms. With the application of this novel probe, the three-dimensional (3D) framework of EPS distribution was visualized under different environmental conditions (temperature, light intensity, nutrition, and pH). The EPS distribution was found to correlate significantly with the metal tolerance and cyanobacterial photosynthesis capability. Collectively, this study proposed an AIE-active nanoprobe for visualizing the EPS distribution and quantifying the EPS thickness/volume, and has significant implications in understanding the physiological functions of microorganisms.

How to cite this publication

Neng Yan, Yubing Hu, Ben Zhong Tang, Wen‐Xiong Wang (2021). Real-Time 3D Framework Tracing of Extracellular Polymeric Substances by an AIE-Active Nanoprobe. , 6(11), DOI: https://doi.org/10.1021/acssensors.1c01821.

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Publication Details

Type

Article

Year

2021

Authors

4

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1021/acssensors.1c01821

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