Animashaun Christopher, Lahcen Abdellatif Ait, Slaughter Gymama
Center for Bioelectronics, Old Dominion University, Norfolk, VA 23508, USA.
Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA 23508, USA.
Biosensors (Basel). 2025 Jun 13;15(6):384. doi: 10.3390/bios15060384.
We are reporting the development of a high-performance, non-enzymatic electrochemical biosensor for selective lactate detection, integrating laser-induced graphene (LIG), gold nanoparticles (AuNPs), and a molecularly imprinted polymer (MIP) synthesized from poly(3,4-ethylenedioxythiophene) (PEDOT). The LIG electrode offers a highly porous, conductive scaffold, while electrodeposited AuNPs enhance catalytic activity and signal amplification. The PEDOT-based MIP layer, electropolymerized via cyclic voltammetry, imparts molecular specificity by creating lactate-specific binding sites. Cyclic voltammetry confirmed successful molecular imprinting and enhanced interfacial electron transfer. The resulting LIG/AuNPs/MIP biosensor demonstrated a wide linear detection range from 0.1 µM to 2500 µM, with a sensitivity of 22.42 µA/log(µM) and a low limit of detection (0.035 µM). The sensor showed excellent selectivity against common electroactive interferents such as glucose and uric acid, long-term stability, and accurate recovery in artificial saliva (>95.7%), indicating strong potential for practical application. This enzyme-free platform offers a robust and scalable strategy for continuous lactate monitoring, particularly suited for wearable devices in sports performance monitoring and critical care diagnostics.
我们报告了一种用于选择性检测乳酸的高性能非酶电化学生物传感器的研发情况,该传感器集成了激光诱导石墨烯(LIG)、金纳米颗粒(AuNPs)以及由聚(3,4 - 乙撑二氧噻吩)(PEDOT)合成的分子印迹聚合物(MIP)。LIG电极提供了一个高度多孔的导电支架,而电沉积的AuNPs增强了催化活性并实现信号放大。通过循环伏安法电聚合的基于PEDOT的MIP层,通过创建乳酸特异性结合位点赋予了分子特异性。循环伏安法证实了成功的分子印迹和增强的界面电子转移。所得的LIG/AuNPs/MIP生物传感器显示出从0.1 μM到2500 μM的宽线性检测范围,灵敏度为22.42 μA/log(μM),检测下限低(0.035 μM)。该传感器对葡萄糖和尿酸等常见电活性干扰物表现出优异的选择性、长期稳定性以及在人工唾液中的准确回收率(>95.7%),表明其具有很强的实际应用潜力。这个无酶平台为连续乳酸监测提供了一种强大且可扩展的策略,特别适用于运动表现监测和重症监护诊断中的可穿戴设备。