Subramaniam Thirumalairajan, Kesavan Girija, Venkatachalam Ganesh
Department of Nano Science and Technology, Tamilnadu Agricultural University, Coimbatore 641003, India.
Department of Physics, Dr. N.G.P. Arts and Science College, Coimbatore 641 048, India.
ACS Appl Bio Mater. 2020 Nov 16;3(11):7769-7778. doi: 10.1021/acsabm.0c00966. Epub 2020 Oct 28.
Carbon-based nanomaterials continue to simulate wide interest in diverse disciplines including electrochemical biosensors, which have great ability to function as next-generation clinical diagnostics. Motivated by this point, we for the first time developed a CuAlO-encapsulated reduced graphene oxide (rGO) nanocomposite by a facile wet-chemical process to modify a glassy carbon electrode for dopamine detection with high selectivity and good sensitivity. The size, shape, phase purity, chemical composition, and surface area were investigated for the samples through transmission electron microscopy, scanning electron microscopy, high-resolution transmission electron microscopy, X-ray photoelectron spectroscopy, X-ray diffraction, and Brunauer-Emmett-Teller analysis. The electrocatalytic performance was studied using cyclic voltammetry and amperometric technique. The modified rGO/CuAlO nanocomposite electrode showed an enhanced electrochemical performance compared to other electrodes and pure CuAlO electrodes due to the strong promoting effect between rGO and CuAlO. Both the oxidation current and concentration were proportional and show a linear range of 9.2 × 10 to 1.6 × 10 M having a detection limit of 15 nM at S/N = 3. Further, the biosensor successfully neglected the interference of ascorbic and uric acid and exhibited enhanced selectivity, improved sensitivity, and stability toward dopamine formulations. Most obviously, the real-time analysis of the electrochemical biosensor may be proved using the clinical diagnostics in the near future.
碳基纳米材料持续引发包括电化学生物传感器在内的不同学科的广泛关注,电化学生物传感器具有作为下一代临床诊断工具的巨大潜力。基于这一点,我们首次通过简便的湿化学方法制备了一种CuAlO包覆的还原氧化石墨烯(rGO)纳米复合材料,用于修饰玻碳电极以实现对多巴胺的高选择性和高灵敏度检测。通过透射电子显微镜、扫描电子显微镜、高分辨率透射电子显微镜、X射线光电子能谱、X射线衍射和布鲁诺尔-埃米特-泰勒分析对样品的尺寸、形状、相纯度、化学成分和表面积进行了研究。采用循环伏安法和安培法研究了其电催化性能。由于rGO和CuAlO之间的强促进作用,修饰后的rGO/CuAlO纳米复合电极相较于其他电极和纯CuAlO电极表现出增强的电化学性能。氧化电流与浓度成正比,线性范围为9.2×10至1.6×10 M,在S/N = 3时检测限为15 nM。此外,该生物传感器成功地消除了抗坏血酸和尿酸的干扰,对多巴胺制剂表现出增强的选择性、更高的灵敏度和稳定性。最明显的是,在不久的将来,电化学生物传感器的实时分析可能会应用于临床诊断。