The Development of Aptamer-Coupled Microelectrode Fiber Sensors (apta-?FS) for Highly Selective Neurochemical Sensing

被引:7
作者
Saizaki, Tomoki [1 ]
Kubo, Mahiro [2 ]
Sato, Yuichi [3 ]
Abe, Hiroya [3 ,4 ]
Ohshiro, Tomokazu [5 ]
Mushiake, Hajime [5 ]
Sorin, Fabien [6 ]
Guo, Yuanyuan [3 ,5 ,7 ]
机构
[1] Tohoku Univ, Sch Engn, Dept Mech & Aerosp Engn, Sendai, Miyagi 9808579, Japan
[2] Tohoku Univ, Sch Engn, Dept Mat Sci & Engn, Sendai, Miyagi 9808579, Japan
[3] Tohoku Univ, Frontier Res Inst Interdisciplinary Sci FRIS, Sendai, Miyagi 9800845, Japan
[4] Tohoku Univ, Grad Sch Engn, Dept Finemech, Sendai, Miyagi 9808579, Japan
[5] Tohoku Univ, Grad Sch Med, Dept Physiol, Sendai, Miyagi 9808575, Japan
[6] Ecole Polytech Fed Lausanne EPFL, Inst Mat, CH-1015 Lausanne, Switzerland
[7] Tohoku Univ, Grad Sch Biomed Engn, Sendai, Miyagi 9808579, Japan
关键词
DOPAMINE; VOLTAMMETRY; COMPOSITE;
D O I
10.1021/acs.analchem.2c05046
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The selective and sensitive sensing of neurochemicals is essential to decipher in-brain chemistry underlying brain pathophysiology. The recent development of flexible and multifunctional polymer-based fibers has been shown useful in recording and modulating neural activities, primarily electrical ones. In this study, we were able to realize fiber-based neurochemical sensing with high sensitivity and selectivity. We achieved a generalizable method to couple aptamers, a type of synthetic receptors on the carbon composites within fibers, as microsensors for highly selective neurochemical detection. Such an aptamer-coupled microelectrode fiber sensor (apta-mu FS) enables simple, label free, and sensitive dopamine (DA) detection down to 5 nM with ultrahigh specificity across major interferents. We succeeded in monitoring DA selectively within the living brain using our apta-mu FS. We further showed the proof-of concept of using microelectronic fiber-based toolsets to target neural pathways across electrical and chemical modalities. In summary, such fiber-based toolsets hold great potential to advance multimodal mechanistic understanding of brain pathophysiology.
引用
收藏
页码:6791 / 6800
页数:10
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