Wang Chao, Wen Yuhao, Wang Siyu, Xiang Jiawen, Hu Die, Man Mingsan, Zhang Xin, Li Bowei, Chen Lingxin
China School of Marine Science and Technology, Harbin Institute of Technology (Weihai), Weihai, Shandong, 264209, China.
ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, Zhejiang, 311215, China.
Talanta. 2025 Dec 1;295:128343. doi: 10.1016/j.talanta.2025.128343. Epub 2025 May 16.
Enoxacin (ENX), a commonly used fluoroquinolone antibiotic, has raised environmental concerns due to its widespread use and resulting pollution. This study presents a novel approach for the rapid and sensitive detection of ENX in aquatic environments using molecularly imprinted polymer-based triple-ratio fluorescence (MIP-TRF) nanosensor. The nanosensor is constructed based on a photoinduced electron transfer (PET) mechanism, combining the high selectivity of molecular imprinting technology with the high sensitivity and anti-interference capability of triple-ratio fluorescence. By optimizing modifiers, eluents, and reaction conditions, the nanosensor demonstrates excellent selectivity and sensitivity, with a detection limit as low as 0.008 mg/L and good linearity over a concentration range of 0.05-7.0 mg/L. The recovery rate in river water samples was between 98.88 % and 102.76 %. To assess the potential application of the sensor, preliminary tests were also conducted by integrating the MIP-TRF nanosensor with a paper-based microfluidic chip, showing that the sensor offers higher detection speed, simplicity, and cost-effectiveness compared to traditional methods. This provides an efficient and convenient solution for the environmental monitoring of ENX and similar contaminants.
依诺沙星(ENX)是一种常用的氟喹诺酮类抗生素,因其广泛使用及由此造成的污染而引发了环境问题。本研究提出了一种基于分子印迹聚合物的三比率荧光(MIP-TRF)纳米传感器,用于快速、灵敏地检测水环境中的依诺沙星。该纳米传感器基于光致电子转移(PET)机制构建,将分子印迹技术的高选择性与三比率荧光的高灵敏度和抗干扰能力相结合。通过优化修饰剂、洗脱剂和反应条件,该纳米传感器表现出优异的选择性和灵敏度,检测限低至0.008 mg/L,在0.05-7.0 mg/L浓度范围内具有良好的线性关系。河水样品的回收率在98.88%至102.76%之间。为评估该传感器的潜在应用,还将MIP-TRF纳米传感器与纸质微流控芯片集成进行了初步测试,结果表明该传感器与传统方法相比具有更高的检测速度、简便性和成本效益。这为依诺沙星及类似污染物的环境监测提供了一种高效便捷的解决方案。