Jiang Xue Dong, Kai Xiao, Xiao Li Wu, Zhi Ying Zhong, Hao Yun Yuan, Shi Gang Shen, Ming Su, Na Li, Zhong Feng Gao, Fan Xia
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引用次数: 0
Abstract
Pursuing nanomaterials with high fluorescence quantum yields is of great significance in the fields of bioimaging, medical diagnosis, and food safety monitoring. This work reports on orange-emitting aggregation-induced emission (AIE) copper nanoclusters (Cu NCs) integrated with blue-emitting nitrogen-doped carbon dots (N-CDs), which enables highly sensitive detection of S2- and Zn2+ ions through an off-on ratiometric fluorescence method. The highly emissive Cu NCs was doped by Ce3+ with a high quantum yield of 51.30 % in aqueous solution. The S2- can induce fluorescence quenching of AIE Cu NCs/N-CDs from orange to blue, while Zn2+ can restore the orange fluorescence. The probe provided linear detection ranges of 0.5-170 μM for S2- and 0.05-200 μM for Zn2+, with detection limits of 0.17 μM and 0.02 μM, respectively. Moreover, a smartphone assistant ratiometric fluorescent test strips were developed for the rapid and visual detection of S2- and Zn2+. The AIE Cu NCs/N-CDs probe exhibited diverse fluorescence color responses, high fluorescence stability, and low cytotoxicity. The ratiometric system was successfully applied to the detection of S2- and Zn2+ in real water samples as well as in cellular and living imaging, demonstrating its potential in biochemical analysis and food safety monitoring.
期刊介绍:
Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome.
Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.