Yang Mingpeng, Cheng Jinghan, Zhao Xingqiang, Cai Jun, Zhou Wangping
Jiangsu Collaborative Innovation Centre on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, 219 Ningliu Road, Nanjing, 210044, China.
School of Automation, Nanjing University of Information Science and Technology, 219 Ningliu Road, Nanjing, 210044, China.
Anal Sci. 2025 Apr;41(4):365-376. doi: 10.1007/s44211-024-00705-5. Epub 2024 Dec 20.
In recent years, wearable sweat sensors have garnered significant attention for real-time monitoring of human physiological information because of their ability to continuously and non-invasively detect multiple sweat biomarkers. Among these, potentiometric sensors stand out for their low power consumption, low cost, compact design, and real-time monitoring capabilities, making them an ideal alternative for sweat analysis. However, enhancing the sensitivity of ion-selective electrodes (ISEs), a critical parameter of potentiometric sensors, remains a challenging research focus. In this work, the sensitivity of K ISEs was significantly enhanced by doping two-dimensional nanoparticles graphitic carbon nitride (g-C₃N₄) into the ion-to-electron transducer of the electrode via electrodeposition. The calibration curve slope of the K potentiometric sensors with doped g-CN reached 59.6 mV/dec, representing a 33% increase in sensitivity compared to the control sensor without g-C₃N₄. Furthermore, the developed sensors demonstrated excellent repeatability, and anti-interference capabilities. Finally, the feasibility of the prepared sensors was further validated in artificial sweat. The large specific surface area of g-C₃N₄ combined with the excellent conductivity of PEDOT: PSS, significantly improved the sensitivity of ISEs in this study. This innovative approach paves a new avenue for the application of two-dimensional materials in potentiometric sensors, potentially advancing the field of real-time sweat analysis.
近年来,可穿戴汗液传感器因其能够连续、无创地检测多种汗液生物标志物,在实时监测人体生理信息方面受到了广泛关注。其中,电位传感器因其低功耗、低成本、紧凑的设计和实时监测能力而脱颖而出,使其成为汗液分析的理想选择。然而,提高离子选择性电极(ISEs)的灵敏度,作为电位传感器的一个关键参数,仍然是一个具有挑战性的研究重点。在这项工作中,通过电沉积将二维纳米颗粒石墨相氮化碳(g-C₃N₄)掺杂到电极的离子-电子换能器中,显著提高了钾离子选择性电极的灵敏度。掺杂g-CN的钾电位传感器的校准曲线斜率达到59.6 mV/dec,与不含g-C₃N₄的对照传感器相比,灵敏度提高了33%。此外,所开发的传感器具有出色的重复性和抗干扰能力。最后,在人工汗液中进一步验证了所制备传感器的可行性。g-C₃N₄的大比表面积与PEDOT:PSS的优异导电性相结合,在本研究中显著提高了ISEs的灵敏度。这种创新方法为二维材料在电位传感器中的应用开辟了一条新途径,有望推动实时汗液分析领域的发展。