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基于 MPECVD 碳纳米片的烟酰胺腺嘌呤二核苷酸(NADH)电化学测定。

Electrochemical determination of NADH based on MPECVD carbon nanosheets.

机构信息

Institute for Sustainability Research and Education, Hosei University, 2-17-1, Fujimi, Tokyo 102-8160, Japan.

出版信息

Talanta. 2012 Sep 15;99:487-91. doi: 10.1016/j.talanta.2012.06.014. Epub 2012 Jun 18.

Abstract

Characterization and application of carbon nanosheets (CNSs) grown by microwave plasma enhanced chemical vapor deposition (MPECVD) have been investigated for the electrochemical biosensor. The as-grown CNS films possess a porous structure with a large amount of graphene edges which most of them are less than 2 nm in thickness, as confirmed by scanning and transmission electron microscopes. "Surface-sensitive" probe, Fe(CN)(6)(3-/4-), exhibits that the original CNSs have faster electron transfer than glassy carbon electrode, owing to much more edge plane sites on the original CNS surface. "Oxygen-sensitive" probe, Fe(3+/2+) also confirmed that the oxygen species in the CNS film can improve its electrochemical activity. The modified electrode by MPECVD CNS films has been used to detect NADH for the first time. The CNSs with many graphene edges efficiently catalyse the oxidation of NADH at 0.336 V. The biosensor linearly responds to NADH in the range of 0-500 μM (R=0.99665), the sensitivity of the electrode is 85.8 mA M(-1) or 715 mA M(-1) cm(-2), and the detection limit of NADH is about 0.44 μM (S/N=3). The biosensor also displays excellent stability for NADH detection and good selectivity in the interference from ascorbic acid.

摘要

采用微波等离子体增强化学气相沉积(MPECVD)生长的碳纳米片(CNSs)的特性及其在电化学生物传感器中的应用得到了研究。生长的 CNS 薄膜具有多孔结构,具有大量的石墨烯边缘,其中大多数厚度小于 2nm,这一点通过扫描和透射电子显微镜得到了证实。“表面敏感”探针 Fe(CN)(6)(3-/4-)表明,原始 CNS 具有比玻璃碳电极更快的电子转移速度,这是由于原始 CNS 表面具有更多的边缘平面位。“氧敏感”探针 Fe(3+/2+)也证实了 CNS 薄膜中的氧物种可以提高其电化学活性。通过 MPECVD CNS 薄膜修饰的电极首次用于检测 NADH。具有许多石墨烯边缘的 CNS 有效地催化 NADH 在 0.336V 处的氧化。该生物传感器在 0-500μM 的范围内对 NADH 呈线性响应(R=0.99665),电极的灵敏度为 85.8 mA M(-1)或 715 mA M(-1) cm(-2),NADH 的检测限约为 0.44μM(S/N=3)。该生物传感器在检测 NADH 时还表现出出色的稳定性和对抗坏血酸的良好选择性。

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