Jin Jin, Jing-Jing Wei, Zhi-Yang Gu, Yong-Xin Zhang, Zhuang-Yi Lu, Qi-Wei Zhang, Jing-Jing Wan, Guo-Yue Shi, Xing-Hua Xia, Yi Shi
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引用次数: 0
Abstract
The design of single-atom catalysts with dual functions has emerged as a promising strategy for developing high-performance sensing platforms. Herein, we reported a facile host–guest strategy for synthesizing an atomically dispersed Co catalyst (Co–N–C), where Co atoms were uniformly anchored on the N-doped carbon matrix derived from zeolitic imidazolate framework-8. The as-prepared Co–N–C exhibits both excellent electrochemical sensing and peroxidase-like colorimetric activities toward the detection of three important bioactive small molecules, ascorbic acid (AA), dopamine (DA), and uric acid (UA). The electrochemical sensor demonstrated ultrahigh sensitivity with detection limits of 4.83, 1.36, and 0.371 μM for AA, DA, and UA, respectively, along with outstanding selectivity against common interferents and stable performance. Meanwhile, the colorimetric method also showed analytical performance with detection limits of 2.24 μM (AA), 3.09 μM (DA), and 2.97 μM (UA). The results indicate that the electronic modulation of Co through precise nitrogen coordination enhances the affinity of Co–Nx for target reactants, thereby promoting adsorption and electron transfer throughout the reaction. This improves catalytic efficiency and selectivity, establishing Co–N–C with dual-catalytic functionality as a promising material for biosensing applications.
期刊介绍:
Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.