College of Eco-Environmental Engineering, Guizhou Minzu University, Guiyang 550025, China.
College of Chemistry, Zhengzhou University, Zhengzhou 450000, China.
ACS Appl Mater Interfaces. 2022 Jun 29;14(25):28956-28964. doi: 10.1021/acsami.2c06729. Epub 2022 Jun 15.
In the present work, irregular Cu nanoparticle-decorated boron-carbon-nitrogen (Cu-BCN) nanosheets were successfully synthesized. A Cu-BCN dispersion was deposited on a bare glassy carbon electrode (GCE) to prepare an electrochemical sensor (Cu-BCN/GCE) for the detection of chloramphenicol (CAP) in the environment. Cu-BCN was characterized using high-resolution scanning transmission electron microscopy (HRSTEM), scanning electron microscopy (SEM), X-ray diffraction (XRD) analysis, and X-ray photoelectron spectroscopy (XPS). The performance of the Cu-BCN/GCE was studied using electrochemical impedance spectroscopy (EIS), and its advantages were proven by electrode comparison. Differential pulse voltammetry (DPV) was used to optimize the experimental conditions, including the amount of Cu-BCN deposited, enrichment potential, deposition time, and pH of the electrolyte. A linear relationship between the CAP concentration and current response was obtained under the optimized experimental conditions, with a wide linear range and a limit of detection (LOD) of 2.41 nmol/L. Cu-BCN/GCE exhibited high stability, reproducibility, and repeatability. In the presence of various organic and inorganic species, the influence of the Cu-BCN-based sensor on the current response of CAP was less than 5%. Notably, the prepared sensor exhibited excellent performance in real-water samples, with satisfactory recovery.
在本工作中，成功合成了不规则的铜纳米粒子修饰的硼碳氮（Cu-BCN）纳米片。将 Cu-BCN 分散体沉积在裸玻碳电极（GCE）上，制备了用于环境中氯霉素（CAP）检测的电化学传感器（Cu-BCN/GCE）。使用高分辨率扫描透射电子显微镜（HRSTEM）、扫描电子显微镜（SEM）、X 射线衍射（XRD）分析和 X 射线光电子能谱（XPS）对 Cu-BCN 进行了表征。使用电化学阻抗谱（EIS）研究了 Cu-BCN/GCE 的性能，并通过电极比较证明了其优势。采用差分脉冲伏安法（DPV）对实验条件进行了优化，包括沉积的 Cu-BCN 量、富集电位、沉积时间和电解质 pH 值。在优化的实验条件下，CAP 浓度与电流响应之间获得了线性关系，具有较宽的线性范围和检测限（LOD）为 2.41 nmol/L。Cu-BCN/GCE 表现出高稳定性、重现性和可重复性。在存在各种有机和无机物质的情况下，基于 Cu-BCN 的传感器对 CAP 电流响应的影响小于 5%。值得注意的是，所制备的传感器在实际水样中表现出优异的性能，具有令人满意的回收率。
