A Janus Fabric with Hexagonal Microcavity Channels for Efficient Urine Transport and Accurate Physiological Monitoring

杰纳斯 六方晶系 材料科学 纳米技术 尿 光电子学 化学 结晶学 生物化学
作者
Shijuan Song,Wenhao Zhou,Xinyue Wei,Huijun Zhao,Dan Hu,Jiaqing Liu,Xin Zhang,Sha Yu,Fengchun Yang
出处
期刊:ACS Sensors [American Chemical Society]
卷期号:10 (3): 2113-2124 被引量:3
标识
DOI:10.1021/acssensors.4c03362
摘要

The current research on wearable electrochemical sensors for urine monitoring is relatively rare, which is primarily limited by the lack of an active management mechanism to effectively manipulate the transportation of excessive liquids. In this work, a Janus fabric with hexagonal microcavity channels (HMJ-FT) was assembled based on a disposable facial towel, which was further introduced to develop the wearable electrochemical sensor (HMJ-Sensor) for the directional manipulation of urine transportation and simultaneous detection of dopamine (DA) and uric acid (UA). The designed hexagonal microcavity structure can synergistically promote horizontal migration and vertical transport of liquid, thus ensuring efficient and rapid manipulation of urine transportation and preventing its accumulation and reflux, which are essential for accurate, real-time monitoring. Therefore, the constructed HMJ-Sensor demonstrated a lower limit of detection (LOD) compared to most reported wearable sensors, which is 10.0770 nM for DA and 1.4100 nM for UA, respectively. Additionally, it also has the widest detection range known to date (DA: 0.0360-4000 μM; UA: 0.0050-6000 μM), which can better adapt to the large volume of urine transport and significant fluctuations on urine concentration in practical applications. After being subjected to a 120-day storage period along with multiple bending, rubbing, and washing treatments, the HMJ-Sensor maintained its excellent detection performance, indicating its high stability and reliability. This work not only provided a novel strategy for the manipulation of urine transport but also enhanced the detection capabilities of urine monitoring, which holds significant potential for boosting wearable applications and medical monitoring in physiological and clinical settings.
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