Dong Yan, An Wenzheng, Zhang Yongbin, Kang Zehao, Gao Botao, Lv Juntai, Jiang Yixuan, Niu Chang, Mao Yuling, Zhang Dongzhi
State Key Laboratory of Chemical Safety, College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, 266580, China.
State Key Laboratory of Chemical Safety, College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, 266580, China.
Biosens Bioelectron. 2025 Nov 15;288:117844. doi: 10.1016/j.bios.2025.117844. Epub 2025 Aug 5.
Wearable biochemical sensors enabling non-invasive monitoring of biomarkers in bodily fluids play a pivotal role in advancing personalized healthcare. The state-of-the-art wireless and wearable biochemical sensors still suffer from large form factors, poor detection accuracy due to sample-to-sample variation, short and weak wireless communication, and difficulty to integrate with data processing algorithm on a system level. To solve these problems, this work develops an all-range wireless and wearable biochemical sensing platform which can be integrated in a diaper for monitoring four urine biomarkers (dimethylamine, creatinine, glucose, and H) with two switchable wireless modes. To simplify the circuit design and reducing the form factor of the wearable sensing platform, this work develops flexible and passive potentiometric sensing interfaces for dimethylamine and creatinine detection by developing high-performance ion-selective electrode (ISE) with customized molecularly imprinted polymers (MIPs) as ionophores. The narrowband Internet of Things (NB-IoT) far-field wireless mode enables remote, and concurrent monitoring of urine biomarkers with a working range up to tens of kilometers, while the LC resonance near-field wireless mode is capable of battery-free and intermittent detection of urine biomarkers. The wearable sensor can be easily switched between the NB-IoT far-field wireless mode and the near-field wireless mode to fit different application scenarios. The wireless sensing platform enables system level integration of the wearable biochemical sensor with a multilayer perceptron data calibration system for data auto-calibration, which reduces the errors caused by varying pH and thus improves the detection accuracy, enabling deeper AI-wearable biochemical sensor fusion for next-generation healthcare applications.
可穿戴生化传感器能够对体液中的生物标志物进行无创监测，在推动个性化医疗方面发挥着关键作用。当前最先进的无线可穿戴生化传感器仍存在诸多问题，如外形尺寸较大、因样本间差异导致检测精度差、无线通信短且弱，以及在系统层面难以与数据处理算法集成。为解决这些问题，本研究开发了一种全量程无线可穿戴生化传感平台，该平台可集成在尿布中，通过两种可切换的无线模式监测四种尿液生物标志物（二甲胺、肌酐、葡萄糖和氢离子）。为简化电路设计并减小可穿戴传感平台的外形尺寸，本研究通过开发以定制分子印迹聚合物（MIP）为离子载体的高性能离子选择性电极（ISE），研制了用于二甲胺和肌酐检测的柔性无源电位传感接口。窄带物联网（NB-IoT）远场无线模式可实现对尿液生物标志物的远程并发监测，工作范围可达数十公里，而LC谐振近场无线模式能够对尿液生物标志物进行无电池间歇检测。可穿戴传感器可在NB-IoT远场无线模式和近场无线模式之间轻松切换，以适应不同的应用场景。该无线传感平台实现了可穿戴生化传感器与多层感知器数据校准系统在系统层面的集成，用于数据自动校准，减少了因pH值变化引起的误差，从而提高了检测精度，实现了更深层次的人工智能与可穿戴生化传感器融合，以用于下一代医疗应用。
