N-doped molybdenum oxide quantum dots as fluorescent probes for the quantitative detection of copper ions in environmental samples

Literature Information

Publication Date 2023-10-30
DOI 10.1039/D3AY01423A
Impact Factor 2.896
Authors

Mingzhu Liu, Jingran Sun, Jin Wu, Zunquan Zhao, Jialei Bai, Yanjun Fang, Xiaoyong Jin


View Original

Abstract

A novel, sensitive, and selective fluorescence sensor based on N-doped Mo oxide quantum dots (N-MoOx QDs) was fabricated for the detection of Cu2+ ions in water. The presence of Cu2+ induced dynamic fluorescence quenching of the N-MoOx QDs. The sensing conditions were optimized to enhance selectivity and sensitivity. Under optimal conditions, the linear relationship between fluorescence response at 408 nm and Cu2+ concentration was determined. The linear range of this relationship was 1–100 μM. The limits of detection (LOD) and quantitation (LOQ) for Cu2+ were 0.78 μM and 2.34 μM, respectively. The method was successfully applied to detect Cu2+ in water samples with satisfactory sample recovery rates from 91.7 to 116.4%. The sensor exhibits high selectivity toward Cu2+, making it useful for environmental sample monitoring.

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Analytical Methods

Analytical Methods
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Analytical Methods welcomes early applications of new analytical and bioanalytical methods and technology demonstrating the potential for societal impact. We require that methods and technology reported in the journal are sufficiently innovative, robust, accurate, and compared to other available methods for the intended application. Developments with interdisciplinary approaches are particularly welcome. Systems should be proven with suitably complex and analytically challenging samples. We encourage developments within, but not limited to, the following technologies and applications: global health, point-of-care and molecular diagnostics biosensors and bioengineering drug development and pharmaceutical analysis applied microfluidics and nanotechnology omics studies, such as proteomics, metabolomics or glycomics environmental, agricultural and food science neuroscience biochemical and clinical analysis forensic analysis industrial process and method development

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