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Quantitative detection of glucose level based on radiofrequency patch biosensor combined with volume-fixed structures

  • Tian Qiang
  • , Cong Wang*
  • , Nam Young Kim
  • *Corresponding author for this work
  • Kwangwoon University

Research output: Contribution to journalArticlepeer-review

Abstract

A concept for characterizing a radiofrequency (RF) patch biosensor combined with volume-fixed structures is presented for timely monitoring of an individual's glucose levels based on frequency variation. Two types of patch biosensors—separately integrated with a backside slot (0.53 μL) and a front-side tank (0.70 μL) structure—were developed to achieve precise and efficient detection while excluding the effects of interference due to the liquidity, shape, and thickness of the tested glucose sample. A glucose test analyte at different concentrations (50–600 mg/dL) was dropped into the volume-fixed structures. It fully interacted with the RF patch electromagnetic field, effectively and sensitively changing the resonance frequency and magnitude of the reflection coefficient. Measurement results based on the resonance frequency showed high sensitivity up to 1.13 MHz and 1.97 MHz per mg/dL, and low detection limits of 26.54 mg/dL and 15.22 mg/dL, for the two types of patch biosensors, respectively, as well as a short response time of less than 1 s. Excellent reusability of the proposed biosensors was verified through three sets of measurements for each individual glucose sample. Regression analysis revealed a good linear correlation between glucose concentrations and the resonance frequency shift. Moreover, to facilitate a multi-parameter-sensitive detection of glucose, the magnitude of the reflection coefficient was also tested, and it showed a good linear correlation with the glucose concentration. Thus, the proposed approach can be adopted for distinguishing glucose solution levels, and it is a potential candidate for early-stage detection of glucose levels in diabetes patients.

Original languageEnglish
Pages (from-to)357-363
Number of pages7
JournalBiosensors and Bioelectronics
Volume98
DOIs
StatePublished - 15 Dec 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Excellent biosensing performance
  • Glucose level detection
  • Quantitative detection
  • Radiofrequency patch
  • Volume-fixed structures

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