分子印迹表面等离子体共振传感器在最大残留水平检测中的应用

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Kıvılcım Çaktü Güler;Ilgım Göktürk;Fatma Yılmaz;Fatma Kartal;Adil Denizli
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引用次数: 0

摘要

在这项研究中,使用分子印迹表面等离子体共振(MIP@SPR)传感器检测了食品、土壤和水样中广泛使用的农药甲芬酮(MET)。为此,我们合成了MET印迹聚[2-羟乙基甲基丙烯酸酯(HEMA)- n -甲基丙烯酰- l-苯丙氨酸甲酯(MAPA)] (MET- mip)纳米颗粒,并将其固定在传感器表面,从而产生MET特异性识别位点。利用纳米zetasizer测量和扫描电子显微镜(SEM)对MET-MIP纳米颗粒进行了表征。利用原子力显微镜(AFM)、接触角(CA)测量和衰减全反射傅里叶变换红外光谱(FTIR-ATR)分析对MIP@SPR传感器进行了表面表征。制备的MET溶液浓度范围为0.01 ~ 10 mg/L,采用SPR系统进行动力学分析。结果表明,MIP@SPR传感器检测MET的检出限(LOD)为0.0031 mg/L。为了进行选择性研究,用新伐脲作为竞争分子。MIP@SPR传感器对MET的选择性比novaluron高19.92倍。为了评价印迹工艺的成功与否,合成了非印迹的聚[2-羟乙基甲基丙烯酸酯(HEMA)- n -甲基丙烯酰- l-苯丙氨酸甲酯(MAPA)] (NIP)纳米颗粒,计算了MIP@SPR传感器的印迹因子为17.78。对于实际样品分析,使用MIP@SPR传感器对番茄样品进行测试,并进行高效液相色谱(HPLC)分析,确认样品中存在MET,从而验证结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of Molecularly Imprinted Surface Plasmon Resonance Sensor for the Detection of Metrafenone at Maximum Residue Levels
In this study, metrafenone (MET), a widely used pesticide, was detected in food, soil, and water samples using a molecularly imprinted surface plasmon resonance (MIP@SPR) sensor. For this purpose, MET-imprinted MET imprinted poly [2-hydroxyethyl methacrylate (HEMA)-N-methacryloyl-L-phenylalanine methyl ester (MAPA)] (MET-MIP) nanoparticles were synthesized and immobilized onto the surface of the sensors, thereby creating MET-specific recognition sites. The characterization of MET-MIP nanoparticles was performed using Nano zetasizer measurements and scanning electron microscopy (SEM). The surface characterization of the MIP@SPR sensors was conducted using atomic force microscopy (AFM), contact angle (CA) measurements, and Fourier-transform infrared spectroscopy with attenuated total reflectance (FTIR-ATR) analysis. Kinetic analyses were performed using the SPR system with MET solutions prepared in the concentration range of 0.01–10 mg/L. The obtained results indicated that the limit of detection (LOD) of the MIP@SPR sensor for MET detection was 0.0031 mg/L. For selectivity studies, novaluron was used as the competitor molecule. The MIP@SPR sensors exhibited a 19.92-fold higher selectivity for MET than novaluron. To evaluate the success of the imprinting process, nonimprinted poly [2-hydroxyethyl methacrylate (HEMA)-N-methacryloyl-L-phenylalanine methyl ester (MAPA)] (NIP) nanoparticles were synthesized, and the imprinting factor of the MIP@SPR sensor was calculated as 17.78. For real sample analysis, tomato samples were tested using the MIP@SPR sensor, and high-performance liquid chromatography (HPLC) analysis was conducted to confirm the presence of MET in the samples, thereby validating the results.
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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