氮掺杂碳基Mg单原子催化剂功能化激光诱导石墨烯电极对多菌灵的高效测定OACSTPCD
Nitrogen-doped Darbon Supported Mg Single-atom Catalyst Functionalized Laser Induced Graphene Electrode and Its Efficient Determination for Carbendazim
通过高能束辐照聚酰亚胺薄膜一步制备三维多孔网络结构石墨烯,并同步实现图案化柔性电极(LIGE)阵列的高精度组装.将基于热解策略制备的氮掺杂碳基 Mg单原子催化剂(MgNC)修饰在工作电极区域,构建比表面积大、催化性能优异的 MgNC/LIGE传感平台.采用循环伏安法和微分脉冲伏安法,开展了杀菌剂多菌灵的电化学传感分析.结果表明,多菌灵在该 MgNC/LIGE上有灵敏的电流响应,且多菌灵的氧化峰电流与其浓度在1.0 nmol/L~55 μmol/L范围内成线性关系(R=0.999),检出限为0.23 nmol/L(RSN=3).采用标准加入法对环境和食物样品中的多菌灵进行测定,回收率为97.2%~102.0%,表明 MgNC/LIGE对复杂样品中多菌灵的检测具有可靠性.该传感平台制备简单、绿色环保、成本低,具有良好的应用前景.
Three-dimensional porous structured graphene by one-step irradiation of polyimide film with high-energy beams was prepared,and the high-precision assembly of patterned flexible electrode(LIGE)array was realized simultaneously.The nitrogen-doped carbon supported Mg single-atom catalyst(MgNC)was modified on the working electrode to construct MgNC/LIGE sensing platform with high surface area and excellent catalytic property.The electrochemical sensing analysis of fungicide carbendazim was performed using cyclic voltammetry and differential pulse voltammetry,and the results showed that the current response of carbendazim was sensitive on MgNC/LIGE.The oxidation peak current of carbendazim was linearly increased with its concentration in the range of 1.0 nmol/L~55 μmol/L(R=0.999)with a limit of detection of 0.23 nmol/L(RSN=3).The carbendazim in environmental and food samples was detected based on standard addition method with a recovery of 97.2%~102.0%,indicating the reliability of the MgNC/LIGE for carbendazim detection in complicated samples.This sensing platform has the advantages of simple manufacturing process,environmental friendliness and low cost,which has good application prospect.
甘甜;陈莉珂;张馨
信阳师范大学 化学化工学院/信阳市功能纳米材料生物分析重点实验室,河南 信阳 464000信阳师范大学 化学化工学院/信阳市功能纳米材料生物分析重点实验室,河南 信阳 464000信阳师范大学 化学化工学院/信阳市功能纳米材料生物分析重点实验室,河南 信阳 464000
化学
激光诱导石墨烯单原子催化剂柔性电极多菌灵电化学检测
laser induced graphenesingle-atom catalystflexible electrodecarbendazimelectrochemical detection
《信阳师范学院学报(自然科学版)》 2024 (2)
环境水体中痕量新兴污染物的协同印迹识别与多元即时分析
169-175,7
国家自然科学基金项目(22176162)河南省优秀青年科学基金项目(232300421085)
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