Multi-biosensing hairband for emergency health assessment

Ming Li, Ganghua Li, Tong Xu, Yiwen Wang, Ruidong Xu, Xinwei Zhang, Fuxing Chen, Ning Yu () and Mingwei Tian ()
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Ming Li: Qingdao University
Ganghua Li: Qingdao University
Tong Xu: Qingdao University
Yiwen Wang: Qingdao University
Ruidong Xu: Qingdao University
Xinwei Zhang: Qingdao University
Fuxing Chen: Qingdao University
Ning Yu: The Affiliated Hospital of Qingdao University
Mingwei Tian: Qingdao University

Nature Communications, 2025, vol. 16, issue 1, 1-12

Abstract: Abstract Blood analysis is regarded as the gold standard for monitoring analytes in clinical diagnostics. However, the time-consuming and site-limited nature often delays medical interventions that are crucial for patients in emergency scenarios. Herein, a weavable multi-biosensor array is developed through coaxial wet spinning for real-time multiplex detection of sweat biomarkers (pH, Na+, K+, and Ca2+) and body temperature. The engineered microstructure of the multi-biosensor array exhibits a surface area that is around 200 times larger than that of conventional coated yarns, thereby facilitating directional sweat transport. The sensitivities of the pH, Na+, K+, Ca2+and temperature sensors have been determined to be 39.52 ± 0.5 mV pH−1 (3-7), 56.33 ± 1 mV dec−1 (10-160 mM), 34.13 ± 0.6 mV dec−1 (2-32 mM), 30.61 ± 0.8 mV dec−1 (0.5-2.53 mM), and 1.2 Ω ± 0.02 °C−1 (25-45 °C), respectively. It is noteworthy that the multi-biosensors exhibit consistent operational stability over 24 hours with minimal signal drift (pH: 0.13 ± 0.01 mV h−1, Na+: 0.17 ± 0.02 mV h−1, K+:0.1 ± 0.008 mV h−1, Ca2+: 0.19 ± 0.01 mV h−1, temperature: 0.05 ± 0.004 Ω h−1). By integrating the multi-biosensors and a circuit patch into the textile substrate, a wireless hairband system is constructed for tracking human physiological dynamics. Such significant technological advancement offers an innovative strategy for constructing real-time biosensing systems, which have the potential to revolutionize personalized healthcare and enable early diagnosis in emergency situations.

Date: 2025
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DOI: 10.1038/s41467-025-62556-6

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