Wearable Multiparameter Platform Based on AlGaN/GaN High-electron-mobility Transistors for Real-time Monitoring of pH and Potassium Ions in Sweat
Wearable Multiparameter Platform Based on AlGaN/GaN High-electron-mobility Transistors for Real-time Monitoring of pH and Potassium Ions in Sweat
复制标题
基于AlGaN/GaN高电子迁移率晶体管的可穿戴多参数平台，用于实时监测汗液中的pH和钾离子
DOI：
10.1002/elan.201900405
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发表时间：
2019-09-18
期刊：
影响因子：
3
通讯作者：
Li, Jiadong
中科院分区：
文献类型：
--
作者：
Liu, Xinsheng;Zhao, Lei;Li, Jiadong
基于场效应晶体管（FET）结构的生物传感器由于其快速、廉价的并行传感和超灵敏的无标记检测而引起了人们的广泛关注。然而，无法进行长期可重复的检测，并且Ag/AgCl参比电极设计复杂，这阻碍了FET生物传感器成为真正的可穿戴健康监测平台。提出了一种基于AlGaN/GaN高电子迁移率晶体管（HEMT）的新型可穿戴检测平台。该平台采用吸汗带连续采集汗液，通过对不同敏感膜进行修饰，形成pH检测单元和钾离子检测单元，实现pH和钾离子的长期稳定、可重复检测。实验数据表明，基于AlGaN/GaN HEMT的可穿戴检测平台具有良好的灵敏度（pH 3-7灵敏度为45.72 μ A/pH，pH7.4 -9灵敏度为51.073 μ A/pH; K+灵敏度为4.94 μ A/lg α（+）（K）），稳定性（28天）和重复性（pH 3-7灵敏度的相对标准偏差（RSD）为2.6%，pH 7.4-9灵敏度的RSD为2.1%，K+灵敏度的RSD为7.3%）。我们新提出的可穿戴平台具有预测分析和个性化医疗的巨大潜力。
Biosensors based on field-effect transistor (FET) structures have attracted considerable attention because they offer rapid, inexpensive parallel sensing and ultrasensitive label-free detection. However, long-term repeatable detection cannot be performed, and Ag/AgCl reference electrode design is complicated, which has hindered FET biosensors from becoming truly wearable health-monitoring platforms. In this paper, we propose a novel wearable detection platform based on AlGaN/GaN high-electron-mobility transistors (HEMTs). In this platform, a sweatband was used to continuously collect sweat, and a pH detecting unit and a potassium ion detecting unit were formed by modifying different sensitive films to realize the long-term stable and repeatable detection of pH and potassium ions. Experimental data show that the wearable detection platform based on AlGaN/GaN HEMTs has good sensitivity (pH 3-7 sensitivity is 45.72 mu A/pH; pH 7.4-9 sensitivity is 51.073 mu A/pH; and K+ sensitivity is 4.94 mu A/lg alpha(+)(K)), stability (28 days) and repeatability (the relative standard deviation (RSD) of pH 3-7 sensitivity is 2.6 %, the RSD of pH 7.4-9 sensitivity is 2.1 %, and the RSD of K+ sensitivity is 7.3 %). Our newly proposed wearable platform has excellent potential for predictive analytics and personalized medical treatment.