2021
DOI: 10.1039/d1mh00149c
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A biocompatible dual-AIEgen system without spectral overlap for quantitation of microbial viability and monitoring of biofilm formation

Abstract: Lacking rapid and reliable microbial detection and sensing platforms, insufficient understanding towards microbial behaviors may generated or delayed precautions could be made, which greatly threatens human life and increase heavy...

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Cited by 7 publications
(6 citation statements)
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References 53 publications
(64 reference statements)
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“…As the formation of the network is reversible, Li et al ( 2020) designed a method for phenols pollutant detection because phenols could destroy the network, release TPEDB, and quench the fluorescence. Combining TPEDB with a new NIR-emissive AIEgen DCQA, a dual-AIEgen system without spectral overlap has been designed and fabricated for microbial viability quantification and biofilm formation monitoring (He et al, 2021). DCQA possesses the ability to stain all kinds of microbes, but TPEDB is only capable of recognizing specific dead.…”
Section: Organic Moleculesmentioning
confidence: 99%
“…As the formation of the network is reversible, Li et al ( 2020) designed a method for phenols pollutant detection because phenols could destroy the network, release TPEDB, and quench the fluorescence. Combining TPEDB with a new NIR-emissive AIEgen DCQA, a dual-AIEgen system without spectral overlap has been designed and fabricated for microbial viability quantification and biofilm formation monitoring (He et al, 2021). DCQA possesses the ability to stain all kinds of microbes, but TPEDB is only capable of recognizing specific dead.…”
Section: Organic Moleculesmentioning
confidence: 99%
“…Bearing virtues of the unique aggregationintensified fluorescence with brilliant photostability, large Stokes shift, high brightness, and profitable wavelength adjustability, AIEgens exhibit outstanding potential as the qualified fluorescent agents for biofilm imaging or even selectively discrimination because multiple functional substituents could be readily introduced according to the requirements. [49,[57][58][59][60][61][62][63] In this part, the recent advancements in biofilm microenvironment (e.g., enzyme)-responsive imaging, [64] discriminative imaging of Gram-positive bacterial biofilms, [65] and biofilm viability monitoring [66] based on AIEgens are summarized.…”
Section: Bacterial Biofilm Imagingmentioning
confidence: 99%
“…Recently, a dual‐AIEgen system was reported by He et al for morphological imaging and metabolic state detection of microbes and their biofilm aggregates ( Figure a). [ 66 ] This system consisted of a newly synthesized AIEgen, termed DCAQ with near‐infrared (NIR) emission pearked at 729 nm (Figure 4b,c). Owing to the AIE feature, large Stokes shift, NIR emission, and two positive charges, DCAQ was able to stain all kinds of microbes, including Gram‐positive bacteria, Gram‐negative bacteria, and fungi in both live and dead forms.…”
Section: Bacterial Biofilm Imagingmentioning
confidence: 99%
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“…Fluorescence imaging is based on the detection of electromagnetic radiation in the ultraviolet–visible–near-infrared (UV–Vis–NIR) range emitted by fluorophores ( Ximendes et al, 2021 ). Thanks to the advantages of high sensitivity, tunable specificity, controllable cost, acceptable biosafety, and noninvasiveness ( Fatahi et al, 2020 ; Guan et al, 2020 ; Niu et al, 2020 ; Guo et al, 2021 ; He et al, 2021 ), fluorescence imaging has been applied to visualize vascular system ( Ma et al, 2018 ; Zheng et al, 2019 ), lymphatic system ( Nakajima et al, 2018 ), various tumor tissues ( Bai et al, 2020 ; Bai et al, 2021 ), and real-time blood flow ( Hong et al, 2014 ; Wan et al, 2018 ; Cai et al, 2020 ). In addition, fluorescence imaging shows great potential in facilitating the development of precise therapeutic strategies for diseases, including imaging-guided cell therapy, drug delivery/release monitoring, and photodynamic therapy ( Li et al, 2020 ; Li et al, 2019a ; Liu et al, 2019 ; Han et al, 2021 ; Xu et al, 2021 ).…”
Section: Introductionmentioning
confidence: 99%