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Development of a Visual Colorimetric Method for Dopamine Detection Using Gold Nanoclusters@Covalent Organic Framework
Yingling Wu1,2, Longxiao Liu1,2, Xutao Xu1,2
1Department of Health Inspection and Quarantine, School of Public Health, Hengyang Medical School, University of South China, Hengyang, Hunan, People's Republic of China.
None:
Dopamine (DA) is a critical neurotransmitter linked to various neuropsychiatric disorders, emphasizing the need for precise detection in clinical settings. Herein, a novel colorimetric method for detecting DA was developed using gold nanocluster@covalent organic frameworks (AuNCs@COF) with peroxidase-like activity. The composite was created by integrating ultrasmall, uniformly distributed gold nanoclusters (AuNCs) into a COF matrix, retaining COF' advantages while enhancing catalytic activity and stability. AuNCs@COF catalyzed the oxidation of the colorless substrate TMB in the presence of H2O2, producing a blue product (oxTMB) with an absorbance peak at 652 nm. DA inhibited this catalytic activity, enabling visual and quantitative detection. The method demonstrated sensitivity (detection limit: 14 μmol/L) and a wide dynamic range (50-500 μmol/L), with excellent selectivity, reproducibility, and successful application in detecting DA in human urine samples (recovery rates: 93.7%-111.5%, RSD < 2.5%). This study underscores the potential of AuNCs@COF as a robust nanozyme for rapid, cost-effective, and user-friendly DA detection, holding promise for clinical diagnostics and point-of-care applications.
