Department of Electrical Engineering and Automation, School of Electrical Engineering, Aalto University, P.O. Box 13500, 00076 Aalto, Finland.
Department of Mechanical and Materials Engineering, Faculty of Technology, University of Turku, Vesilinnantie 5, 20500 Turku, Finland.
Anal Chem. 2023 Feb 7;95(5):2983-2991. doi: 10.1021/acs.analchem.2c04843. Epub 2023 Jan 26.
One of the major challenges for in vivo electrochemical measurements of dopamine (DA) is to achieve selectivity in the presence of interferents, such as ascorbic acid (AA) and uric acid (UA). Complicated multimaterial structures and ill-defined pretreatments have been frequently utilized to enhance selectivity. The lack of control over the realized structures has prevented establishing associations between the achieved selectivity and the electrode structure. Owing to their easily tailorable structure, carbon nanofiber (CNF) electrodes have become promising materials for neurobiological applications. Here, a novel yet simple strategy to control the sensitivity and selectivity of CNF electrodes toward DA is reported. It consists of adjusting the lengths of CNF by modulating the growth phase during the fabrication process while keeping the surface chemistries similar. It was observed that the sensitivity of the CNF electrodes toward DA was enhanced with the increase in the fiber lengths. More importantly, the increase in the fiber length induced (i) in the DA oxidation peak and (ii) in the AA oxidation peak. As the UA oxidation peak remained unaffected at high anodic potentials, the electrodes with long CNFs showed excellent selectivity. Electrodes without proper fibers showed only a single broad peak in the solution of AA, DA, and UA, completely lacking the ability to discriminate DA. Hence, the simple strategy of controlling CNF length without the need to carry out any complex chemical treatments provides us a feasible and robust route to fabricate electrode materials for neurotransmitter detection with excellent sensitivity and selectivity.
在活体电化学测量多巴胺(DA)时,主要挑战之一是在存在干扰物(如抗坏血酸(AA)和尿酸(UA))的情况下实现选择性。通常采用复杂的多材料结构和定义不明确的预处理来提高选择性。由于缺乏对实现结构的控制,无法建立所实现的选择性与电极结构之间的关联。由于其结构易于调整,碳纳米纤维(CNF)电极已成为神经生物学应用的有前途的材料。在这里,报道了一种控制 CNF 电极对 DA 的灵敏度和选择性的新颖但简单的策略。该策略包括通过在制造过程中调整纤维的生长阶段来调节 CNF 的长度,同时保持相似的表面化学性质。结果表明,随着纤维长度的增加,CNF 电极对 DA 的灵敏度增强。更重要的是,纤维长度的增加导致(i)DA 氧化峰增加和(ii)AA 氧化峰增加。由于 UA 氧化峰在高阳极电位下保持不变,因此具有长 CNF 的电极表现出优异的选择性。没有合适纤维的电极在 AA、DA 和 UA 的溶液中仅显示出一个单一的宽峰,完全缺乏区分 DA 的能力。因此,无需进行任何复杂的化学处理即可控制 CNF 长度的简单策略为我们提供了一种可行且稳健的途径,用于制造具有出色灵敏度和选择性的神经递质检测电极材料。