高等学校化学学报

高等学校化学学报

• 研究论文 • 上一篇    下一篇

铁/锰比例调控的双金属纳米酶用于有机磷农药比色传感

张应鹏,刘娟娟，秦凡凡，杨云裳，胡赜太   

  1. 兰州理工大学，石油化工学院
  • 收稿日期:2026-03-06 修回日期:2026-05-15 网络首发:2026-05-26 发布日期:2026-05-26
  • 通讯作者: 张应鹏

Iron/Manganese Ratio-Regulated Bimetallic Nanoenzymes for Colorimetric Sensing of Organophosphorus Pesticides

ZHANG Yingpeng*, LIU Juanjuan, QIN Fanfan, YANG Yunshang, HU Zetai   

  1.  School of Petrochemical Engineering. Lanzhou University of Technology
  • Received:2026-03-06 Revised:2026-05-15 Online First:2026-05-26 Published:2026-05-26
  • Contact: ZHANG YingPeng

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摘要： 以自合成的H?TCA为有机配体，通过调控铁掺杂比例，采用溶剂热合成法成功制备了一系列双金属纳米酶材料。其中，Fe?Mn-NC的类过氧化物酶活性最为突出，其催化效率显著高于单金属体系，且表现出明显的组分依赖性。酶动力学分析显示，Fe?Mn-NC对底物TMB和H?O?展现出优异的亲和力，对应的米氏常数（K?）分别低至0.36 mmol/L和0.1 mmol/L。基于FexMn-NC的类酶催化性能，以乙酰胆碱酯酶抑制法为原理，通过乙酰胆碱酯酶-硫代胆碱级联反应实现“开-关-开”信号调控，构建了高特异性紫外传感平台。该平台对有机磷农药表现出良好识别能力，在10~330 nmol/L范围内检测限低至3.04 nmol/L.

关键词: 4,4',4''-三甲酸三苯胺, 纳米酶, 类酶活性, 乙酰胆碱酯酶（AChE）, 甲基对硫磷检测

Abstract: Using self-synthesized H?TCA as an organic ligand, a series of bimetallic nanoenzyme materials were successfully synthesized via a solvothermal method by regulating the iron doping ratio. Among these, the Fe?Mn composition exhibited the most optimal peroxidase-like catalytic activity, with a significantly higher catalytic efficiency than single-metal systems and a pronounced composition dependence. Enzyme kinetic analysis revealed that Fe?Mn exhibits exceptional affinity for substrates TMB and H?O?, with corresponding Michaelis-Menten constants (K?) as low as 0.36 mmol/L and 0.1 mmol/L, respectively. Based on the material's outstanding catalytic properties, an “on-off-on” type UV sensing platform was successfully constructed using the acetylcholinesterase-thiocholine cascade reaction. This platform demonstrated excellent analytical performance in methyl parathion detection, with a detection limit as low as 3.04 nmol/L and a linear range spanning 10~330 nmol/L.

Key words: 4,4',4''-Tricarboxytriphenylamine, Nanozymes, Enzyme-like activity, Acetylcholinesterase (AChE), Organophosphorus pesticide detection 

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