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基于自组装石墨烯纳米片-多壁碳纳米管-壳聚糖纳米结构测定牛奶样品中双酚 A 的高灵敏度和选择性。

Highly-sensitive and selective determination of bisphenol A in milk samples based on self-assembled graphene nanoplatelets-multiwalled carbon nanotube-chitosan nanostructure.

机构信息

College of Chemistry and Chemical Engineering, Key Laboratory of Hunan Province for Water Environment and Agriculture Product Safety, Central South University, Changsha, Hunan 410083, China.

College of Science, Hunan Agricultural University, Changsha 410128, China.

出版信息

Mater Sci Eng C Mater Biol Appl. 2019 Oct;103:109848. doi: 10.1016/j.msec.2019.109848. Epub 2019 Jun 3.

Abstract

Graphene nanoplatelets (GNPs), multiwalled carbon nanotube (MWCNTs) and chitosan (CS) were self-assembled by a facile one-step hydrothermal reaction to obtain novel MWCNTs-CS enfolded GNPs (GNPs-MWCNTs-CS) composite. Fourier transform infrared (FT-IR) spectroscopy, Raman spectroscopy, scanning electron microscopy (SEM), UV-visible (UV-vis) absorption spectroscopy and zeta potential analysis were employed to characterize the morphology, surface composition, interaction, surface charge and stability of the GNPs-MWCNTs-CS composite. The electrochemical behaviors of GNPs-MWCNTs-CS composite modified glassy carbon electrode (GNPs-MWCNTs-CS/GCE) were investigated using cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS). The GNPs-MWCNTs-CS/GCE was used for fast and high sensitive determination of bisphenol A (BPA) by differential pulse voltammetry (DPV). Under the optimum conditions, the calibration curve obtained is linear for the current versus the BPA concentration in the range 0.1-100 μM with a detection limit of 0.05 nM (signal-to-noise ratio of 3, S/N = 3). The between-sensor reproducibility was 1.29% (n = 6) for 0.04 mM BPA. The proposed GNPs-MWCNTs-CS/GCE based sensor showed high resistance to interference, good repeatability and excellent reproducibility. Trace BPA in milk samples could also be reliably determined.

摘要

石墨烯纳米片(GNPs)、多壁碳纳米管(MWCNTs)和壳聚糖(CS)通过简便的一步水热反应自组装,得到新型 MWCNTs-CS 包裹的 GNPs(GNPs-MWCNTs-CS)复合材料。傅里叶变换红外(FT-IR)光谱、拉曼光谱、扫描电子显微镜(SEM)、紫外-可见(UV-vis)吸收光谱和 zeta 电位分析用于表征 GNPs-MWCNTs-CS 复合材料的形态、表面组成、相互作用、表面电荷和稳定性。使用循环伏安法(CV)和电化学阻抗谱(EIS)研究了 GNPs-MWCNTs-CS 复合材料修饰玻碳电极(GNPs-MWCNTs-CS/GCE)的电化学行为。在最佳条件下,通过差分脉冲伏安法(DPV)获得的电流与 BPA 浓度在 0.1-100μM 范围内的校准曲线呈线性关系,检测限为 0.05nM(信噪比为 3,S/N=3)。对于 0.04mM BPA,传感器之间的重现性为 1.29%(n=6)。所提出的基于 GNPs-MWCNTs-CS/GCE 的传感器具有高抗干扰性、良好的重复性和优异的重现性。还可以可靠地测定牛奶样品中的痕量 BPA。

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