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制备六方氮化硼掺杂石墨烯薄膜修饰传感器,用于烟草样品中尼古丁的选择性电化学检测。

Preparation of hexagonal boron nitride doped graphene film modified sensor for selective electrochemical detection of nicotine in tobacco sample.

机构信息

Department of Chemistry, SRM Institute of Science and Technology, Kattankulathur, 603 203, Tamil Nadu, India.

Department of Chemistry, SRM Institute of Science and Technology, Kattankulathur, 603 203, Tamil Nadu, India.

出版信息

Anal Chim Acta. 2020 Oct 2;1132:110-120. doi: 10.1016/j.aca.2020.07.060. Epub 2020 Aug 6.

DOI:10.1016/j.aca.2020.07.060
PMID:32980101
Abstract

The selective detection of nicotine is necessary in biological and biomedical samples to screen the patients who has the neurodegenerative diseases due to tobacco addiction. For this purpose, we have synthesized a hybrid binary composite made of 2D hexagonal boron nitride nanosheets (BN) doped graphene film via a scalable top-down technique for the electrochemical detection of nicotine. Transmission electron microscopy (TEM) images showed that layered graphene sheets bounded with BN nanosheets. Moreover, Fourier-transform infrared (FT-IR), UV-visible (UV-vis), and X-ray photoelectron spectroscopies (XPS) confirmed successful integration of BN within graphene. In addition, the electrical conductivity of the nanocomposite was tested using electrochemical impedance spectroscopy (EIS), which showed high electrical conductivity of BN/graphene coated electrode with low charge transfer resistance. To develop a selective nicotine sensor, glassy carbon electrode (GCE) surface was coated with BN/graphene hybrid film and tested its electro-catalytic activity against nicotine. It was found that BN/graphene/GCE based sensor exhibited excellent electro-catalytic activity for nicotine oxidation at lower potential of +0.97 V in phosphate buffer solution (PBS, pH 7.0) and the linear response was observed from 1 to 1000 μM. The limit of detection (LOD) was estimated as 0.42 μM. The common interferent compounds such as uric acid (UA), paracetamol (PA), glucose (Glu), melamine (Mel), cysteine (Cys) and dopamine (DA) did not interfere on the sensor selectivity. Furthermore, BN/graphene/GCE exhibited high stability and reproducibility. Finally, BN/graphene/GCE-based sensor was successfully applied to detect nicotine in a tobacco sample with high recovery.

摘要

选择性检测生物和生物医学样本中的尼古丁对于筛选因烟草成瘾而患有神经退行性疾病的患者是必要的。为此,我们通过可扩展的自上而下技术合成了一种由二维六方氮化硼纳米片(BN)掺杂石墨烯薄膜组成的混合二元复合材料,用于电化学检测尼古丁。透射电子显微镜(TEM)图像显示层状石墨烯片与 BN 纳米片结合。此外,傅里叶变换红外(FT-IR)、紫外-可见(UV-vis)和 X 射线光电子能谱(XPS)证实 BN 成功地整合到石墨烯中。此外,通过电化学阻抗谱(EIS)测试了纳米复合材料的电导率,结果表明 BN/石墨烯涂覆电极具有低电荷转移电阻,具有高电导率。为了开发一种选择性的尼古丁传感器,将 BN/石墨烯杂化薄膜涂覆在玻碳电极(GCE)表面,并测试其对尼古丁的电催化活性。结果表明,BN/石墨烯/GCE 基传感器在磷酸盐缓冲溶液(PBS,pH 7.0)中具有较低的+0.97 V 下对尼古丁氧化表现出优异的电催化活性,并且在 1 至 1000 μM 范围内观察到线性响应。检测限(LOD)估计为 0.42 μM。常见的干扰化合物,如尿酸(UA)、对乙酰氨基酚(PA)、葡萄糖(Glu)、三聚氰胺(Mel)、半胱氨酸(Cys)和多巴胺(DA),对传感器的选择性没有干扰。此外,BN/石墨烯/GCE 表现出高稳定性和重现性。最后,BN/石墨烯/GCE 基传感器成功应用于烟草样品中尼古丁的检测,回收率高。

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