In this paper, in order to successfully achieve a fluorescent polyoxometalate (POM) probe with high luminescence, aggregation enhanced emission of POM is achieved by a self-assembly strategy. In detail, Eu-polyoxometalate (Na[EuWO]·32HO (EuW)) and ionic-liquid-type imidazolium gemini surfactants ([C-n-Cim]Br, n = 2, 4, 6) constructed a vesicle with aggregation enhanced emission phenomenon. With the introduction of [C-n-Cim]Br, the luminescence intensity increased sharply and compared the effect of the different space length of [C-n-Cim]Br, the introduction of [C-2-Cim]Br had the best luminescence effect and the strongest luminescence of EuW/[C-2-Cim]Br was 32 times that of pure EuW. Thus, a sensitive selective off-luminescence chemical sensor EuW/[C-2-Cim]Br was developed for the label-free detection of Cr and MnO in aqueous solution with lower detection limits of 0.926 μM and 1.70 μM, respectively. Collision between the fluorophore and Cr or MnO caused dynamic quenching. Luminescence quenching of Cr was attributed to Förster resonance energy transfer (FRET) while luminescence quenching of MnO was attributed to UV-vis competitive absorption. Our strategy for combining polyoxometalates with surfactants to construct aggregation enhanced emission systems is expected to provide new ways to develop simple, economical, fast and sensitive sensors in environmental applications such as metal ion detection.
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Sci Rep
January 2025
College of Mathematics and Computer Science, Guangdong Ocean University, Zhanjiang, 524088, China.
To address the problems of complex cloud features in satellite cloud maps, inaccurate typhoon localization, and poor target detection accuracy, this paper proposes a new typhoon localization algorithm, named TGE-YOLO. It is based on the YOLOv8n model with excellent high-low feature fusion capability and innovatively achieves the organic combination of feature fusion, computational efficiency, and localization accuracy. Firstly, the TFAM_Concat module is creatively designed in the neck network, which comprehensively utilizes the detailed information of shallow features and the semantic information of deeper features, enhancing the fusion ability of features at each layer.
View Article and Find Full Text PDFMed Image Anal
January 2025
Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. Electronic address:
The relationship between brain connections and non-imaging phenotypes is increasingly studied using deep neural networks. However, the local and global properties of the brain's white matter networks are often overlooked in convolutional network design. We introduce TractGraphFormer, a hybrid Graph CNN-Transformer deep learning framework tailored for diffusion MRI tractography.
View Article and Find Full Text PDFJ Hazard Mater
January 2025
Ministry of Education Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Hohai University, Nanjing 210098, PR China; College of Environment, Hohai University, Nanjing 210098, PR China.
Microplastics (MPs) and perfluorobutanoic acid (PFBA), emerging contaminants, are ubiquitous in the environment and toxic to organisms. The interaction of MPs with other contaminants can affect their toxicity. However, the impact of MPs on PFBA toxicity remains unknown.
View Article and Find Full Text PDFACS Sens
January 2025
School of Chemistry and Molecular Engineering, In Situ Devices Research Center, Shanghai Key Laboratory for Urban Ecological Processes and Eco-Restoration, East China Normal University, Shanghai 200241, China.
Monitoring volatile organic compounds (VOCs) is crucial for ensuring safety and health. In this study, we introduce a strategy to engineer a chromatography-inspired single-sensor (CISS) e-nose tailored for VOC monitoring. This approach overcomes the limitations of traditional methodologies and conventional e-noses.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
Key Laboratory of the Ministry of Education for Advanced Catalysis Materials, Department of Chemistry, Zhejiang Normal University, Yingbin Road No.688, Jinhua, 321004, P. R. China.
Polycyclic multiple resonance (MR) molecules reveal narrowband emission, making them very promising emitters for high color purity display. Nevertheless, they still have challenges such as aggregation-induced emission quenching and spectral broadening. Overcoming these obstacles requires an in-depth understanding of the correlations among the alterations in their geometries, packing structures, and molecular vibrations and their corresponding changes in their photoluminescence (PL) properties.
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