Graphene Quantum Dots/Multiwalled Carbon Nanotubes Composite-Based Electrochemical Sensor for Detecting Dopamine Release from Living Cells

Graphene Quantum Dots/Multiwalled Carbon Nanotubes Composite-Based Electrochemical Sensor for Detecting Dopamine Release from Living Cells
复制标题

用于检测活细胞释放多巴胺的石墨烯量子点/多壁碳纳米管复合电化学传感器

DOI:
10.1021/acssuschemeng.9b06623
复制
发表时间:
2020-01-27
影响因子:
8.4
通讯作者:
Tong, Qing-Xiao
Tong, Qing-Xiao
中科院分区:
化学1区
文献类型:
--
作者:
Huang, Qitong;Lin, Xiaofeng;Tong, Qing-Xiao

文献摘要

被引文献

相似文献

多巴胺(DA)是一种与神经信号和某些疾病相关的重要神经递质。因此,检测患者体内的多巴胺对调节机体功能具有重要意义。与其他传统方法相比,这些电化学传感器具有灵敏度高、快速、简单、经济等固有优势。本文制备了石墨烯量子点/多壁碳纳米管(GQDS-MWCNTs)复合超灵敏电化学传感器,用于检测多巴胺(DA)。作为碳纳米材料,碳量子点具有较大的比表面积,可以提高电极的导电性,是一种优良的电极材料。正如预期的那样,该传感器在其他干扰生物分析物中具有良好的多巴胺选择性。在最佳条件下,该电化学传感器在100.0~0.005µM范围内具有良好的线性关系,检测下限为0.87 nm(3S/N),对DA的测定具有良好的线性关系。此外,该电化学传感器成功地应用于人血清中DA的检测,并首次以优异的性能检测活体PC12细胞分泌的DA。
Dopamine (DA) is an important neurotransmitter associated with nerve signaling and some diseases. Therefore, it is very significant to detect DA in patients to regulate body function. Compared with other traditional methods, these electrochemical sensors have their intrinsic advantages of high sensitivity, celerity, simplicity, and economy. In this article, a graphene quantum dots/multiwalled carbon nanotubes (GQDs-MWCNTs) composite-based ultrasensitive electrochemical sensor for detecting dopamine (DA) was fabricated. As the carbon nanomaterials, GQDs have large surface areas to improve the conductivity of the electrodes, and the MWCNTs are excellent electrode materials. As expected, the sensor has excellent selectivity of dopamine among other interfering bioanalytes. Under optimum conditions, this electrochemical sensor exhibited maximum performance toward DA determination with good linearity in a broad linear range of 0.005 to 100.0 mu M with the detection limit of 0.87 nM (3S/N). Furthermore, this electrochemical sensor was successfully applied for detecting DA in human serum, and it was the first example to measure DA secreted from live PC12 cells with excellent performance.