Mónica Moreno, Alberto Sánchez Arribas, Silvia Royano, Yaiza Izquierdo, Manuel Chicharro
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引用次数: 0
摘要
本研究介绍了一种简单的一步法合成苯酚官能化还原氧化石墨烯用于电分析的方法,只需使用没食子酸(GA)和氧化石墨烯(GO)。没食子酸既是 GO 的还原剂,也是一种稳定剂和功能化剂,可为纳米材料引入酚基。这种功能化赋予了纳米材料显著的特性,使其能够完全分散在水溶液中,并调整其电化学性能,从而非常便于电极改性。通过紫外-可见光谱、傅立叶变换红外光谱(FTIR)、拉曼光谱以及扫描电子显微镜(SEM)对所制备的纳米材料(GA-rGO)进行了表征。在伏安实验中使用了用这些纳米材料的水分散液修饰的玻璃碳电极(GA-rGO/GCE),以评估电分析应用的最佳分散液组成。GA-rGO 的独特功能化促进了多巴胺(DA)和尿酸(UA)在电极表面的选择性积累,即使在混合物中存在大量抗坏血酸(AA)的情况下也是如此。在特定条件下,DA 的伏安电流在 3.0 x 10-7 M 至 2.0 x 10-5 M 和 UA 的 7.0 x 10-6 M 至 1.0 x 10-4 M 的浓度范围内呈线性递增。该传感器对 DA 和 UA 的检测限分别为 0.090 μM 和 2.1 μM。通过对药物中的 DA 以及人体尿样中的 DA 和 UA 进行定量,证明了该传感器在实际样品中的电分析性能非常可靠,其回收率在 82 % 到 105 % 之间,相对标准偏差低于 11 %。
Electroanalytical application of phenol-functionalized reduced graphene oxide produced using gallic acid in a single step
This study introduces a simple one-step approach for synthesizing phenol-functionalized reduced graphene oxide for electroanalytical purposes, just using gallic acid (GA) and graphene oxide (GO). GA serves as both a reductant for GO and a stabilizing, functionalizing agent, introducing phenolic groups to the nanomaterial. This functionalization imparts remarkable attributes to the nanomaterial, allowing complete dispersion in aqueous solutions and tuning of its electrochemical performance, making it very convenient for electrode modification. The resulting nanomaterials (GA-rGO) underwent characterization through UV–visible, Fourier-transform infrared (FTIR), and Raman spectroscopies, as well as scanning electron microscopy (SEM). Glassy carbon electrodes modified with aqueous dispersions of these nanomaterials (GA-rGO/GCE) were employed in voltammetric experiments to evaluate the optimal dispersion composition for electroanalytical application.
These GA-rGO/GCE displayed high electrocatalytic activity for the electrochemical oxidation of relevant clinical and environmental analytes. The unique functionalization of GA-rGO facilitated the selective accumulation of dopamine (DA) and uric acid (UA) on the electrode surface, even in the presence of significant amounts of ascorbic acid (AA) in mixtures. Under the specified conditions, voltammetric currents display linear increments over the concentration ranges of 3.0 x 10-7 M to 2.0 x 10-5 M for DA and 7.0 x 10-6 M to 1.0 x 10-4 M for UA. The sensor demonstrated a low detection limit of 0.090 and 2.1 μM for DA and UA, respectively. The reliability of the electroanalytical performance of the proposed sensor in real samples was demonstrated by the quantification of DA in medications, as well as DA and UA in human urine samples, yielding recovery values between 82 % and 105 %, with relative standard deviation below 11 %.
期刊介绍:
FlatChem - Chemistry of Flat Materials, a new voice in the community, publishes original and significant, cutting-edge research related to the chemistry of graphene and related 2D & layered materials. The overall aim of the journal is to combine the chemistry and applications of these materials, where the submission of communications, full papers, and concepts should contain chemistry in a materials context, which can be both experimental and/or theoretical. In addition to original research articles, FlatChem also offers reviews, minireviews, highlights and perspectives on the future of this research area with the scientific leaders in fields related to Flat Materials. Topics of interest include, but are not limited to, the following: -Design, synthesis, applications and investigation of graphene, graphene related materials and other 2D & layered materials (for example Silicene, Germanene, Phosphorene, MXenes, Boron nitride, Transition metal dichalcogenides) -Characterization of these materials using all forms of spectroscopy and microscopy techniques -Chemical modification or functionalization and dispersion of these materials, as well as interactions with other materials -Exploring the surface chemistry of these materials for applications in: Sensors or detectors in electrochemical/Lab on a Chip devices, Composite materials, Membranes, Environment technology, Catalysis for energy storage and conversion (for example fuel cells, supercapacitors, batteries, hydrogen storage), Biomedical technology (drug delivery, biosensing, bioimaging)