Microfluidic-Integrated Multimodal Wearable Hybrid Patch for Wireless and Continuous Physiological Monitoring

被引:20
|
作者
Zahed, Md Abu [1 ,2 ]
Kim, Dong Kyun [1 ,2 ]
Jeong, Seong Hoon [1 ,2 ]
Reza, Md Selim [1 ,2 ]
Sharifuzzaman, Md [1 ,2 ]
Pradhan, Gagan Bahadur [1 ,2 ]
Song, Hyesu [1 ,2 ]
Asaduzzaman, Md [1 ,2 ]
Park, Jae Yeong [1 ,2 ,3 ]
机构
[1] Kwangwoon Univ, Dept Elect Engn, Seoul 139701, South Korea
[2] Kwangwoon Univ, Human IoT Focused Res Ctr, Seoul 139701, South Korea
[3] SnE Solut Co Ltd, Seoul 139701, South Korea
基金
新加坡国家研究基金会;
关键词
wearable; glucose; electrocardiogram; microfluidic; multimodal; SENSORS; IMMUNOSENSOR; PLATINUM;
D O I
10.1021/acssensors.3c00148
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Despite extensive advances in wearable monitoring systems,mostdesigns focus on the detection of physical parameters or metabolitesand do not consider the integration of microfluidic channels, miniaturization,and multimodality. In this study, a combination of multimodal (biochemicaland electrophysiological) biosensing and microfluidic channel-integratedpatch-based wireless systems is designed and fabricated using flexiblematerials for improved wearability, ease of operation, and real-timeand continuous monitoring. The reduced graphene oxide-based microfluidicchannel-integrated glucose biosensor exhibits a good sensitivity of19.97 (44.56 without fluidic channels) & mu;A mM(-1) cm(-2) within physiological levels (10 & mu;M-0.4mM) with good long-term and bending stability. All the sensors inthe patch are initially validated using sauna gown sweat-based on-bodyand real-time tests with five separate individuals who perspired threetimes each. Multimodal glucose and electrocardiogram (ECG) sensing,along with their real-time adjustment based on sweat pH and temperaturefluctuations, optimize sensing accuracy. Laser-burned hierarchicalMXene-polyvinylidene fluoride-based conductive carbon nanofiber-baseddry ECG electrodes exhibit low skin contact impedance (40.5 k & omega;cm(2)) and high-quality electrophysiological signals (signal-to-noiseratios = 23.4-32.8 dB). The developed system is utilized toaccurately and wirelessly monitor the sweat glucose and ECG of a humansubject engaged in physical exercise in real time.
引用
收藏
页码:2960 / 2974
页数:15
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