Wearable energy devices on mask-based printed electrodes for self-powered glucose biosensors

被引:17
|
作者
Jeerapan, Itthipon [1 ,2 ,3 ,4 ]
Sangsudcha, Warawut [1 ]
Phokhonwong, Panida [1 ]
机构
[1] Prince Songkla Univ, Ctr Excellence Trace Anal & Biosensor, Hat Yai 90110, Songkhla, Thailand
[2] Prince Songkla Univ, Fac Sci, Div Phys Sci, Hat Yai 90110, Songkhla, Thailand
[3] Prince Songkla Univ, Fac Sci, Ctr Excellence Innovat Chem, Hat Yai 90110, Songkhla, Thailand
[4] Prince Songkla Univ, Hat Yai 90110, Songkhla, Thailand
关键词
Wearable sensors; Glucose; Biofuel cells; Self-powered sensors; Energy harvesting; Flexible electrodes; FORMULATION; STABILITY; SENSORS; SWEAT;
D O I
10.1016/j.sbsr.2022.100525
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Wearable sensor technology is a key to sustainable healthcare systems because of its unique capability to assess a wearer's state of wellbeing. We must continue to explore the sensible integration of sensors into wearable and energy-sustainable systems. This article reveals a new example of self-powered bioelectronics on a mask for continuously monitoring glucose by leveraging printed biofuel-cell-based carbon-nanotube-modified bio-electronics. The bioanode relies on the oxidation of glucose with the assistance of glucose oxidase and tetra-thiafulvalene functionalized on the polyaniline-modified electrode, whereas the cathode, with the assistance of platinum-poly(3,4-ethylenedioxythiophene) materials, utilizes oxygen reduction reaction. The developed flexible electrodes show enhanced capacitance and favorable biocatalytic performances. This mask biodevice yields an open circuit voltage (OCV) of 0.37 V and achieves a maximum output density of 14 mu W cm 2. The applicability to glucose detection shows that the self-powered analytical signal is proportional to the glucose concentration up to 10.00 mM with the limit of detection of 0.22 mM. This self-powered biosensor is also not affected by common interfering agents, such as lactic acid, uric acid, ascorbic acid, and creatinine. It is envisioned that this platform would further improve a wide range of digital e-health diagnostic and physiological monitoring applications.
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页数:8
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