A sensitive electrochemical method for detecting enrofloxacin was proposed using carboxylated multi-walled carbon nanotubes-reduced graphene oxide (MWCNT-COOH-RGO) nanocomposites. The MWCNT-COOH-RGO nanocomposites were firstly electrodeposited on a bare electrode, followed by electropolymerization of molecularly imprinted polymers. Enrofloxacin was determined by the mechanisms of direct electrocatalytic oxidation and molecularly imprinted recognition, respectively. Under the optimized conditions, a response range of 5.0×10^–7 M to 5.5×10^–5 M and limit of detection (LOD) of 2.3×10^–7 M were obtained by direct electrocatalytic oxidation of enrofloxacin using chronoamperometry. By contrast, the response range of 1.0×10^–10 M to 5.0×10^–5 M and LOD of 2.5×10^–11 M were achieved by molecularly imprinted recognition of enrofloxacin using square-wave voltammetry. Moreover, the proposed method exhibited good repeatability, stability and selectivity, and could be used for enrofloxacin detection in egg samples with satisfactory results.

提出了一种使用羧化多壁碳纳米管还原氧化石墨烯 (MWCNT-COOH-RGO) 纳米复合材料检测恩诺沙星的灵敏电化学方法。MWCNT-COOH-RGO 纳米复合材料首先电沉积在裸电极上，然后进行分子印迹聚合物的电聚合。恩诺沙星分别通过直接电催化氧化和分子印迹识别机制确定。在优化条件下， 使用计时电流法直接电催化氧化恩诺沙星获得了5.0×10 ^–7  M 至 5.5×10 ^{–5 M 的响应范围和 2.3×10 –7} M 的检测限 (LOD) 。相比之下，响应范围为 1.0×10 ^–10  M 至 5.0×10^{–5 M 和 2.5×10 –11} M 的 LOD 是通过使用方波伏安法对恩诺沙星进行分子印迹识别而实现的。此外，该方法具有良好的重复性、稳定性和选择性，可用于鸡蛋样品中恩诺沙星的检测，结果令人满意。