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Reusable, Non-Invasive, and Ultrafast Radio Frequency Biosensor Based on Optimized Integrated Passive Device Fabrication Process for Quantitative Detection of Glucose Levels

Overview
Journal Sensors (Basel)
Publisher MDPI
Specialty Biotechnology
Date 2020 Mar 15
PMID 32168963
Citations 7
Authors
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Abstract

The increase in the number of people suffering diabetes has been the driving force behind the development of glucose sensors to overcome the current testing shortcomings. In this work, a reusable, non-invasive and ultrafast radio frequency biosensor based on optimized integrated passive device fabrication process for quantitative detection of glucose level was developed. With the aid of the novel biosensor design with hammer-shaped capacitors for carrying out detection, both the resonance frequency and magnitude of reflection coefficient can be applied to map the different glucose levels. Meanwhile, the corresponding fabrication process was developed, providing an approach for achieving quantitative detection and a structure without metal-insulator-metal type capacitor that realizes low cost and high reliability. To enhance the sensitivity of biosensor, a 3-min dry etching treatment based on chlorine/argon-based plasma was implemented for realizing hydrophilicity of capacitor surface to ensure that the biosensor can be touched rapidly with glucose. Based on above implementation, a non-invasive biosensor having an ultrafast response time of superior to 0.85 s, ultralow LOD of 8.01 mg/dL and excellent reusability verified through five sets of measurements are realized. The proposed approaches are not limited the development of a stable and accurate platform for the detection of glucose levels but also presents a scheme toward the detection of glucose levels in human serum.

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References
1.
Fagherazzi G, Ravaud P . Digital diabetes: Perspectives for diabetes prevention, management and research. Diabetes Metab. 2018; 45(4):322-329. DOI: 10.1016/j.diabet.2018.08.012. View

2.
Hu R, Stevenson A, Lowe C . An acoustic glucose sensor. Biosens Bioelectron. 2012; 35(1):425-428. DOI: 10.1016/j.bios.2012.02.026. View

3.
Li X, Li Y, Qiu Q, Wen Q, Zhang Q, Yang W . Efficient biofunctionalization of MoS nanosheets with peptides as intracellular fluorescent biosensor for sensitive detection of caspase-3 activity. J Colloid Interface Sci. 2019; 543:96-105. DOI: 10.1016/j.jcis.2019.02.011. View

4.
Wang G, Qin J, Zhao Y, Wei J . Nanoporous carbon spheres derived from metal-phenolic coordination polymers for supercapacitor and biosensor. J Colloid Interface Sci. 2019; 544:241-248. DOI: 10.1016/j.jcis.2019.03.001. View

5.
Muguruma H, Hoshino T, Nowaki K . Electronically type-sorted carbon nanotube-based electrochemical biosensors with glucose oxidase and dehydrogenase. ACS Appl Mater Interfaces. 2014; 7(1):584-92. DOI: 10.1021/am506758u. View