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制备 Cu₂O-还原氧化石墨烯纳米复合材料修饰电极用于超灵敏多巴胺检测。

Preparation of Cu₂O-Reduced Graphene Nanocomposite Modified Electrodes towards Ultrasensitive Dopamine Detection.

机构信息

Hunan Key Laboratory of Biomedical Nanomaterials and Devices, School of Life Science and Chemistry, Hunan University of Technology, Zhuzhou 412007, China.

Department of Chemistry and Material Science, Hengyang Normal University, Hengyang 421008, China.

出版信息

Sensors (Basel). 2018 Jan 12;18(1):199. doi: 10.3390/s18010199.

Abstract

Cu₂O-reduced graphene oxide nanocomposite (Cu₂O-RGO) was used to modify glassy carbon electrodes (GCE), and applied for the determination of dopamine (DA). The microstructure of Cu₂O-RGO nanocomposite material was characterized by scanning electron microscope. Then the electrochemical reduction condition for preparing Cu₂O-RGO/GCE and experimental conditions for determining DA were further optimized. The electrochemical behaviors of DA on the bare electrode, RGO- and Cu₂O-RGO-modified electrodes were also investigated using cyclic voltammetry in phosphate-buffered saline solution (PBS, pH 3.5). The results show that the oxidation peaks of ascorbic acid (AA), dopamine (DA), and uric acid (UA) could be well separated and the peak-to-peak separations are 204 mV (AA-DA) and 144 mV (DA-UA), respectively. Moreover, the linear response ranges for the determination of 1 × 10 mol/L1 × 10 mol/L and 1 × 10 mol/L8 × 10 mol/L with the detection limit 6.0 × 10 mol/L (S/N = 3). The proposed Cu₂O-RGO/GCE was further applied to the determination of DA in dopamine hydrochloride injections with satisfactory results.

摘要

氧化亚铜还原氧化石墨烯纳米复合材料(Cu₂O-RGO)被用于修饰玻碳电极(GCE),并应用于多巴胺(DA)的测定。通过扫描电子显微镜对 Cu₂O-RGO 纳米复合材料的微观结构进行了表征。然后,进一步优化了制备 Cu₂O-RGO/GCE 的电化学还原条件和测定 DA 的实验条件。在磷酸盐缓冲溶液(PBS,pH 3.5)中,还通过循环伏安法研究了 DA 在裸电极、RGO 和 Cu₂O-RGO 修饰电极上的电化学行为。结果表明,抗坏血酸(AA)、多巴胺(DA)和尿酸(UA)的氧化峰可以很好地分离,峰-峰分离分别为 204 mV(AA-DA)和 144 mV(DA-UA)。此外,该方法对 1×10mol/L1×10mol/L 和 1×10mol/L8×10mol/L 的 DA 测定具有线性响应范围,检测限为 6.0×10~mol/L(S/N=3)。该方法还进一步应用于盐酸多巴胺注射液中 DA 的测定,结果令人满意。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14da/5795561/30f54802b121/sensors-18-00199-g001.jpg

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