2021年第82回応用物理学会秋季学術講演会

講演情報

一般セッション(口頭講演)

12 有機分子・バイオエレクトロニクス » 12.7 医用工学・バイオチップ

[13p-N322-1~16] 12.7 医用工学・バイオチップ

2021年9月13日(月) 13:30 〜 18:00 N322 (口頭)

加治佐 平(東洋大)、當麻 浩司(医科歯科大)、小野 尭生(阪大)

16:45 〜 17:00

[13p-N322-12] Electrochemical activities of Fe2O3 modified microelectrode for dopamine detection using fast-scan cyclic voltammetry

〇(D)Nicha Sato1、Yasumi Ohta1、Hironari Tekehara1、Makito Haruta1、Hiroyuki Tashiro2、Oratai Jongprateep3、Jun Ohta1 (1.NAIST、2.Kyushu Univ.、3.Kasetsart Univ.)

キーワード:Electrochemical, Nanoparticle, Dopamine

Nowadays, neurotransmitters monitoring tools are challenging due to the response time of the neurotransmitters which are rapidly releasing and the concentrations involved are typically low. The ability of electrochemical sensors which outstanding in repeatability, accuracy, and low power requirements. Effective sensing for non-labeling sensors is commonly required high electrocatalytic activities and extensive electron transfer. Therefore, the small surface area of electrode generates could promote high spatial resolution and negligible tissue damage as well which is the in-vivo electrochemical monitoring of neurotransmitters in the brain.
This study aimed at examining usage of iron oxide (Fe2O3) as electrochemical sensors for dopamine detection. Nanoparticulate Fe2O3 was synthesized by the solution combustion technique. The microelectrode was prepared and applied onto a flexible polyimide substrate which is the pattern with copper layer and gold layer by laser patterning with a diameter of microelectrode is 200 µm. The microelectrode has modified with metal oxide nanoparticles by hydrothermal. The electrochemical performance of microelectrode was evaluated by fast-scan cyclic voltammetry technique (FSCV) in dopamine solutions with concentrations between 0 and 100 µM. The oxidation peak of Fe2O3 was found at an applied voltage of 0.28 V. The peak currents corresponding to oxidation reactions between dopamine and microelectrode were detected. Therefore, the Fe2O3 modified microelectrode has exhibited sensing ability and good candidates for non-labeling sensors towards application in neuroscience research.