Zeolitic-Imidazolate Frameworks Enhanced Surface Plasmon Resonance Sensor for Organic Dyes Sensing

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Sensors Journal Pub Date : 2024-07-10 DOI:10.1109/JSEN.2024.3421640
Nur Hidayah Azeman;Ahmad Rifqi Md Zain;Wan Mohd Ebtisyam Mustaqim Mohd Daniyal;Mohd Suzeren Md Jamil;Mohd Hafiz Abu Bakar;Nur Afifah Ahmad Nazri;Muhammad Asif Ahmad Khushaini;Mohd Hadri Hafiz Mokhtar;Ahmad Ashrif A. Bakar
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Abstract

This work highlights the development of zeolitic-imidazolate frameworks 8 (ZIFs-8) to enhance surface plasmon resonance (SPR) sensor for methylene blue compound detection. ZIF-8 was synthesized via the solvothermal method. XRD results show the appearance of diffraction peaks at $2\theta = 7.4^{\circ }$ , 10.4°, 12.7°, and 18.0°, which are assigned to 011, 002, 112, 022, 013, and 222 lattice planes, respectively, confirming the high crystalline ZIF-8 produced. The X-ray photoelectron spectroscopy (XPS) analysis exhibits the presence of C, O, Zn, and N elements on the surface of the ZIF-8 structure. Methylene blue was detected through the donor-acceptor interaction of a lone pair of Zn atoms in ZIF-8 with methylene blue. These two materials can also interact through $\pi $ $\pi $ interactions because both ZIF-8 and methylene blue possess aromatic rings in their structure. The FESEM characterization shows a uniform particle size produced on a surface of Au thin film in the 100–130-nm range. A good sensitivity of 1.3821° ppm $^{-{1}}$ with a detection and quantification limit of 0.92 and 2.79 ppm, respectively, was obtained for the SPR sensor using ZIF-8 as a sensing material at a low methylene blue concentration range in comparison to bare Au. Nonetheless, the steepness of the graph started to decline after 1 ppm methylene blue concentration due to the fully occupied active sites on the surface of ZIF-8. In the selectivity study, a prominent SPR shift was observed when ZIF-8 interacted with methylene blue, compared to other interferences, proving that ZIF-8 has a good selectivity toward methylene blue.
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用于有机染料传感的沸石咪唑酸框架增强型表面等离子体共振传感器
本研究重点介绍了沸石-咪唑酸盐框架 8(ZIFs-8)的开发情况,以增强用于亚甲基蓝化合物检测的表面等离子体共振(SPR)传感器。ZIF-8 是通过溶热法合成的。X 射线衍射结果表明,在 $2\theta = 7.4^{\circ }$ 、10.4°、12.7°和 18.0°处出现了衍射峰,分别归属于 011、002、112、022、013 和 222 晶格平面,证实了所制备的 ZIF-8 结晶度很高。X 射线光电子能谱(XPS)分析表明,ZIF-8 结构表面存在 C、O、Zn 和 N 元素。通过 ZIF-8 中 Zn 原子的孤对与亚甲基蓝的供体-受体相互作用,检测到了亚甲基蓝。由于 ZIF-8 和亚甲基蓝的结构中都有芳香环,因此这两种材料还可以通过 $\pi $ - $\pi $ 相互作用而相互作用。FESEM 表征显示,金薄膜表面产生的颗粒大小均匀,范围在 100-130 纳米之间。与裸金相比,使用 ZIF-8 作为传感材料的 SPR 传感器在低亚甲基蓝浓度范围内的灵敏度为 1.3821° ppm $^{-{1}}$,检测限和定量限分别为 0.92 ppm 和 2.79 ppm。然而,由于 ZIF-8 表面的活性位点被完全占据,在亚甲基蓝浓度达到 1 ppm 后,曲线的陡度开始下降。在选择性研究中,与其他干扰相比,当 ZIF-8 与亚甲基蓝相互作用时,观察到明显的 SPR 偏移,这证明 ZIF-8 对亚甲基蓝具有良好的选择性。
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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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