Journal of Sensor Science and Technology (센서학회지)

The Korean Sensors Society (한국센서학회)
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Laser-induced Graphene Based Wearable Glucose Patch Sensor with Ultra-low Detection Limit

레이저 유도 그래핀 기반의 고성능 웨어러블 포도당 패치센서

  • 나중산 (광운대학교 전자공학과) ;
  • 윤효상 (광운대학교 전자공학과) ;
  • 선성 (광운대학교 전자공학과) ;
  • 김지영 (광운대학교 전자공학과) ;
  • 박재영 (광운대학교 전자공학과)
  • Received : 2018.12.27
  • Accepted : 2019.01.25
  • Published : 2019.01.31
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Abstract

Sweat-based glucose sensors are being widely investigated and researched as they facilitate painless and continuous measurement. However, because the concentration of sweat glucose is almost a hundred times lower than that of blood glucose, it is important to develop electrochemical sensing electrode materials that are highly sensitive to glucose molecules for the detection of low concentrations of glucose. The preparation of a flexible and ultra-sensitive sensor for detection of sweat glucose is presented in this study. Oxygen and nitrogen are removed from the surface of a polyimide film by exposure to a CO2 laser; hence, laser-induced graphene (LIG) is formed. The fabricated LIG electrode showed favorable properties of high roughness and good stability, flexibility, and conductivity. After the laser scanning, Pt nanoparticles (PtNP) with good catalytic behavior were electrodeposited and the glucose sensor thus developed, with a LIG/PtNP hybrid electrode, exhibited a high order of sensitivity and detection limit for sweat glucose.

Keywords

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Fig. 1. fabrication of laser-induced graphene-based flexible biosensors with ultra-low detection.

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Fig. 2. Optical image of the fabricated enzymatic glucose sensor

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Fig. 3. FE-SEM images of laser-induced graphene after electroplating Pt nanoparticles ; (a) 2000 times magnification, (b) 5000 times magnification, (c) 10000 times magnification, and (d) 50000 times magnification.

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Fig. 4. Graph of cyclic voltammetry curves before and after electroplating of Pt nanoparticles on laser induced graphene.

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Fig. 5. Graph of change in current with injection of glucose.

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Fig. 6. Linear Regression Analysis of Current Response to Glucose Concentration Change.

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Fig. 7. Comparison of amperometric response between glucose and disturbance species.

Table 1. Comparison with Previous Studies

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