Zhang Zhenjie, Wei Wei, Li Anne Ailina, Wang Chenhao, Tang Chengchen, Wang Qing, Zhou Lianqun, Kong Hui
Institute for Future, School of Automation, Shandong Key Laboratory of Industrial ControlTechnology, Qingdao University, Qingdao, 266071, China.
Department of Visceral and Transplant, University Hospital Zurich, Zurich, 8091, Switzerland; University of Zurich, 8006, Zürich, Switzerland.
Biosens Bioelectron. 2025 Nov 1;287:117675. doi: 10.1016/j.bios.2025.117675. Epub 2025 Jun 9.
Here, we report a wearable device integrating a sweat collection unit and a molecularly imprinted polymer (MIP) - based sensor for the non-invasive detection of adrenaline (AD). In this paper, a new MIP method is proposed, which uses AD molecule as template, and electropolymerizes aniline and 3-aminophenylboronic acid (3-APBA) to form molecular imprinting. Surface modifications, incorporating carbon nanotubes (CNT) and MIP optimization, enhanced the device's specific surface area by 166.45 % (±2.82 %), yielding a wide linear detection range of AD (10 μmol L to 10 μmol L). In this study, a three-dimensional response model was constructed by analyzing the current values corresponding to sweat pH levels (4.0-8.0) and AD concentrations, enabling a linear response and accurate prediction of AD levels in sweat. The integrated flexible electronic platform supports real-time data transmission via Bluetooth or NFC to a mobile application, facilitating efficient detection. Comprehensive integration and validation, including artificial sweat testing and correlation with ELISA results, underscore the sensor's potential as a robust and versatile solution for wearable health monitoring.
在此,我们报告了一种可穿戴设备,该设备集成了汗液收集单元和基于分子印迹聚合物(MIP)的传感器,用于无创检测肾上腺素(AD)。本文提出了一种新的MIP方法,该方法以AD分子为模板,通过电聚合苯胺和3-氨基苯硼酸(3-APBA)形成分子印迹。结合碳纳米管(CNT)的表面修饰和MIP优化,使该设备的比表面积提高了166.45%(±2.82%),产生了较宽的AD线性检测范围(10 μmol/L至10 μmol/L)。在本研究中,通过分析与汗液pH值(4.0 - 8.0)和AD浓度相对应的电流值构建了三维响应模型,实现了线性响应并能准确预测汗液中AD水平。集成的柔性电子平台支持通过蓝牙或NFC将实时数据传输到移动应用程序,便于进行高效检测。包括人工汗液测试以及与酶联免疫吸附测定(ELISA)结果的相关性在内的全面集成和验证,突出了该传感器作为可穿戴健康监测的强大且通用解决方案的潜力。