Kuangyi Zou, Qianming Li, Dan Li, Yiding Jiao, Lie Wang, Luhe Li, Jiacheng Wang, Yiran Li, Rui Gao, Fangyan Li, Er He, Tingting Ye, Wentao Tang, Jie Song, Jiang Lu, Xusong Li, Hanting Zhang, Xinyin Cao and Ye Zhang*,
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引用次数: 0
摘要
高香草酸(HVA)是一种主要的多巴胺代谢产物,血液中的高香草酸被认为是中枢神经系统(CNS)多巴胺生物标志物,可反映与多巴胺相关的中枢神经系统疾病的进展以及对治疗药物的行为反应。然而,面对血液中各种活性物质的干扰,尤其是结构相似的儿茶酚胺及其代谢物,实时、准确地监测血液 HVA 仍是一项挑战。本文报告了一种基于分子印迹聚合物的高选择性植入式电化学纤维传感器,可在体内准确监测 HVA。该传感器具有高选择性,对 HVA 的响应强度是儿茶酚胺及其代谢物的 12.6 倍,在体内的准确率达到 97.8%。将传感器注入大鼠尾静脉后,可追踪血液中 HVA 的实时变化,而 HVA 的变化与大脑多巴胺的波动同步,并显示行为对多巴胺增加的反应。这项研究为提高植入式电化学传感器的选择性提供了一种通用设计策略。
A Highly Selective Implantable Electrochemical Fiber Sensor for Real-Time Monitoring of Blood Homovanillic Acid
Homovanillic acid (HVA) is a major dopamine metabolite, and blood HVA is considered as central nervous system (CNS) dopamine biomarker, which reflects the progression of dopamine-associated CNS diseases and the behavioral response to therapeutic drugs. However, facing blood various active substances interference, particularly structurally similar catecholamines and their metabolites, real-time and accurate monitoring of blood HVA remains a challenge. Herein, a highly selective implantable electrochemical fiber sensor based on a molecularly imprinted polymer is reported to accurately monitor HVA in vivo. The sensor exhibits high selectivity, with a response intensity to HVA 12.6 times greater than that of catecholamines and their metabolites, achieving 97.8% accuracy in vivo. The sensor injected into the rat caudal vein tracked the real-time changes of blood HVA, which paralleled the brain dopamine fluctuations and indicated the behavioral response to dopamine increase. This study provides a universal design strategy for improving the selectivity of implantable electrochemical sensors.
期刊介绍:
ACS Nano, published monthly, serves as an international forum for comprehensive articles on nanoscience and nanotechnology research at the intersections of chemistry, biology, materials science, physics, and engineering. The journal fosters communication among scientists in these communities, facilitating collaboration, new research opportunities, and advancements through discoveries. ACS Nano covers synthesis, assembly, characterization, theory, and simulation of nanostructures, nanobiotechnology, nanofabrication, methods and tools for nanoscience and nanotechnology, and self- and directed-assembly. Alongside original research articles, it offers thorough reviews, perspectives on cutting-edge research, and discussions envisioning the future of nanoscience and nanotechnology.