DNA杂交玻碳电极非法拉第电化学检测茄枯菌

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Rhea Patel;Naresh Mandal;Raman Ramesh;Maryam Shojaei Baghini;Bidhan Pramanick
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引用次数: 0

摘要

在此,我们首次报道了一种无标签、非快速、灵敏的基于dna的障碍传感器的开发,用于检测土壤传播的农业疾病稻枯病。该传感器使用碳-微机电系统(mems)工艺生产的玻碳电极(GCE)。该传感器通过使用相应的DNA探针使电极表面功能化,选择性地与目标茄青脱氧核糖核酸(DNA)结合。这导致阻抗可检测的变化。非法拉第法提高了灵敏度,降低了背景噪声,是一种可靠的病原菌检测方法。GCE具有低本底干扰和与各种生物实验兼容的特点,可用于生物传感领域。在我们早期的研究中,我们已经使用了一种基于金交叉指电极(IDE)的方法,通过DNA杂交来检测茄青霉。在这项研究中,使用了c - mems衍生的GCE,它提供了一种多功能,经济高效且稳定的金ide替代品,特别是在需要高化学稳定性,表面可定制性和成本效率的应用中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nonfaradaic Electrochemical Detection of Ralstonia solanacearum Using DNA Hybridized Glassy Carbon Electrodes
Here, we report for the first time on the development of a label-free, nonfaradaic, and sensitive DNA-based impedimetric sensor to detect the soil-borne agricultural disease Ralstonia solanacearum. The sensor uses a glassy carbon electrode (GCE) produced using the carbon-micro-electromechanical systems (MEMSs) process. The sensor binds to the target R. solanacearum deoxyribonucleic acid (DNA) selectively by functionalizing the electrode surface with a corresponding DNA probe. This results in detectable changes in impedance. The nonfaradaic method provides a strong and dependable method for pathogen detection by increasing sensitivity and reducing background noise. GCE can be used for biosensing applications because of its low background interference and compatibility with various biological experiments. We have already used a gold interdigitated electrode (IDE)-based method in our earlier investigation to detect R. solanacearum via DNA hybridization. In this study, C-MEMS-derived GCE is used, which offers a versatile, cost-effective, and stable alternative to gold IDEs, particularly in applications requiring high chemical stability, surface customizability, and cost efficiency.
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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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