1. Aggregation-Induced-Emission Materials with Different Electric Charges as an Artificial Tongue: Design, Construction, and Assembly with Various Pathogenic Bacteria for Effective Bacterial Imaging and Discrimination
- Author
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Guang-jian Liu, Cui-yun Li, Sheng-nan Tian, Lei Zhou, and Guo-wen Xing
- Subjects
Materials science ,Klebsiella pneumoniae ,Carboxylic acid ,Static Electricity ,Carboxylic Acids ,Nanotechnology ,02 engineering and technology ,010402 general chemistry ,medicine.disease_cause ,01 natural sciences ,Listeria monocytogenes ,medicine ,General Materials Science ,Aggregation-induced emission ,chemistry.chemical_classification ,Bacteria ,Staining and Labeling ,biology ,Pathogenic bacteria ,021001 nanoscience & nanotechnology ,biology.organism_classification ,0104 chemical sciences ,Biochemistry ,chemistry ,Yersinia pestis ,Vibrio cholera ,0210 nano-technology - Abstract
Imaging-based total bacterial count and type identification of bacteria play crucial roles in clinical diagnostics, public health, biological and medical science, and environmental protection. Herein, we designed and synthesized a series of tetraphenylethenes (TPEs) functionalized with one or two aldehyde, carboxylic acid, and quaternary ammonium groups, which were successfully used as fluorescent materials for rapid and efficient staining of eight kinds of representative bacterial species, including pathogenic bacteria Vibrio cholera, Klebsiella pneumoniae, and Listeria monocytogenes and potential bioterrorism agent Yersinia pestis. By comparing the fluorescence intensity changes of the aggregation-induced-emission (AIE) materials before and after bacteria incubation, the sensing mechanisms (electrostatic versus hydrophobic interactions) were simply discussed. Moreover, the designed AIE materials were successfully used as an efficient artificial tongue for bacteria discrimination, and all of the bacteria tested were identified via linear discriminant analysis. Our current work provided a general method for simultaneous broad-spectrum bacterial imaging and species discrimination, which is helpful for bacteria surveillance in many fields.
- Published
- 2017
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