基于 Fe3O4-Citosan/MXene-Assisted MMF-MCF-MMF 的 WaveFlex 生物传感器具有更好的多柔比星检测功能

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Xiangshan Li;Ragini Singh;Krishna Kumar;Bingyuan Zhang;Jiajun Guo;Santosh Kumar;Guoru Li
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引用次数: 0

摘要

在光纤生物传感器中集成混合纳米材料和混合光纤结构已成为增强传感能力的有效策略。在这项研究中,我们开发了一种基于光纤的 WaveFlex 生物传感器,它采用锥形多模光纤 (MMF) 到多芯光纤 (MCF) 再到 MMF 的配置,表面涂有金纳米粒子 (AuNPs)、磁铁矿 (Fe3O4)、壳聚糖和 MXene 的复合材料。这种生物传感器专门用于检测多柔比星(DOX)药物。Fe3O4 和壳聚糖与 MXene 的协同组合充分利用了每种成分的有益特性,从而创建了一个具有更多配体固定结合位点的增强型平台。这反过来又大大提高了传感器的性能。此外,复合芯模态结构还有利于激发高阶模态,而众所周知,高阶模态可提高光纤传感器的灵敏度。周期性的 WaveFlex 光纤结构在发光时会产生大量的蒸发波 (EW),从而增强传感器与分析物之间的相互作用。通过一系列透射实验,我们确定 DOX WaveFlex 生物传感器在 0- $10~\mu $ M 浓度范围内的灵敏度和检测限(LoD)分别为 0.885 nm/ $\mu $ M 和 0.37~\mu $ M。我们的研究结果表明,通过加入二维材料和创新的光纤配置,局部表面等离子体共振(LSPR)效应显著增强。这一进展为提高 WaveFlex 生物传感器的灵敏度提供了一条新途径,在生物传感领域具有潜在的应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fe3O4-Chitosan/MXene-Assisted MMF-MCF-MMF-Based WaveFlex Biosensor With Improved Features for Doxorubicin Detection
The integration of hybrid nanomaterials and hybrid fiber structures within fiber optic biosensors has emerged as a potent strategy to augment sensing capabilities. In this study, we developed a fiber optic-based WaveFlex biosensor that features a tapered multimode fiber (MMF) to multicore fiber (MCF) to MMF configuration, coated with a composite of gold nanoparticles (AuNPs), magnetite (Fe3O4), chitosan, and MXene. This biosensor was specifically designed for the detection of the doxorubicin (DOX) drug. The synergistic combination of Fe3O4 and chitosan with MXene leverages the beneficial properties of each constituent, thereby creating an enhanced platform with an increased number of binding sites for ligand immobilization. This, in turn, significantly boosts the sensor’s performance. Furthermore, the composite-core modal structure facilitates the excitation of higher-order modes, a mechanism that is known to amplify the sensitivity of fiber optic sensors. The periodic WaveFlex fiber architecture, when illuminated, generates an abundance of evanescent waves (EWs), thereby enhancing the interaction between the sensor and the analyte. Through a series of transmittance experiments, we determined that the sensitivity and limit of detection (LoD) of the DOX WaveFlex biosensor, within the concentration range of 0– $10~\mu $ M, were 0.885 nm/ $\mu $ M and $0.37~\mu $ M, respectively. Our findings suggest that the localized surface plasmon resonance (LSPR) effect is significantly enhanced through the incorporation of 2-D materials and an innovative fiber optic configuration. This advancement presents a novel avenue for enhancing the sensitivity of WaveFlex biosensors, offering potential applications in the field of biosensing.
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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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