An anti-HCT-interference glucose sensor based on a fiber paper-based screen-printed carbon electrode
•Anti HCT interference blood glucose sensors based on fiber paper-based screen-printed carbon electrode were demonstrated.•The paper-based glucose sensor can reduce HCT interference significantly with HCT range 20% to 70%.•In consensus error grid, 95% of the data points lie within zones A and B. As...
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Veröffentlicht in: | Sensors and actuators. B, Chemical Chemical, 2019-10, Vol.297, p.126763, Article 126763 |
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Sprache: | eng |
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Zusammenfassung: | •Anti HCT interference blood glucose sensors based on fiber paper-based screen-printed carbon electrode were demonstrated.•The paper-based glucose sensor can reduce HCT interference significantly with HCT range 20% to 70%.•In consensus error grid, 95% of the data points lie within zones A and B.
As the number of diabetic patients increases year by year, the demand for a self-monitoring blood glucose test also increases. Additionally, more in-depth studies of blood glucose biosensors have led to increasing accuracy requirements. However, at present, most enzyme glucose sensors have difficulty solving issues related to hematocrit (HCT) interference. Most studies on anti-HCT interference in blood glucose sensing have mainly focused on correction factors, such as glucose correction, and electrical impedance or resistivity characteristics to correct the impact of HCT. In this work, we developed an anti-HCT-interference blood glucose sensor based on a fiber paper-based screen-printed carbon electrode with a mediator (potassium ferricyanide) and glucose oxidase (GOD), which were fixed through inkjet printing. When testing whole blood samples with HCT levels of 20%–70% and a fluid dropping method, the results of a consensus error grid analysis showed that 91% of the data points lied within zones A and B. The glucose sensor was exclusively designed with a 16 μL chamber in the working area of the sensor. When the testing fluid was taken in by capillary sucking, the effect of HCT was further reduced, and 95% of the data points lied within zones A and B in the consensus error grid. |
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ISSN: | 0925-4005 1873-3077 |
DOI: | 10.1016/j.snb.2019.126763 |