基于黑磷纳米片/金纳米粒子/碳化硅纳米复合材料的多巴胺电化学传感器研究

Electrochemical sensor based on black phosphorus nanosheets/gold nanoparticles/silicon carbide nanocomposites for dopamine

  • 摘要: 基于黑磷纳米片/金纳米粒子/碳化硅纳米复合物(β-CD@BP/SiC/AuNPs)构建了一种新型电化学传感器,其中黑磷纳米片拥有优异的电荷转移能力,黑磷纳米片/碳化硅作为导电材料能够增敏电化学信号,通过β-环糊精对多巴胺的主客体识别作用形成复合物,增加多巴胺在电极表面吸附以产生电信号,通过电信号的变化检测未知溶液中的多巴胺含量. 采用透射、扫描电镜、傅里叶变换红外光谱等方法对不同修饰电极进行材料合成表征,并进一步优化电化学还原条件和测定多巴胺实验条件. 在最优测量条件下,电化学测量线性范围为:5~20 μmol/L和20~1000 μmol/L. 最低检出限(RSN=3)为0.55 μmol/L. 将该方法用于实际血液的检测,加标回收率为93.35%~104.23%,相对标准偏差为0.37%~7.37%,具有良好的加标回收率和准确度. 以上结果表明该电化学传感器在检测多巴胺方面具有潜在的应用价值,有望灵敏检测食品中的瘦肉精含量和人血清中的多巴胺含量.

     

    Abstract: A novel electrochemical sensor was constructed based on black phosphorus nanosheets/gold nanoparticles/silicon carbide nanocomposites (β-CD@BP/SiC/AuNPs). The black phosphorus nanosheets have excellent charge transfer ability, and the black phosphorus nanosheets/silicon carbide as conductive materials can enhance the electrochemical signal. Through the host-guest recognition effect of β-cyclodextrin on dopamine to form a complex, the adsorption of dopamine on the electrode surface is increased to generate an electrical signal. The content of dopamine in the unknown solution is detected by the change of the electrical signal. In this paper, transmission electron microscopy, scanning electron microscopy, Fourier transform infrared spectroscopy and other methods were used to characterize the material synthesis of different modified electrodes, and the electrochemical reduction conditions and the experimental conditions for determining dopamine were further optimized. Under the optimal measurement conditions, the electrochemical measurement linear range was 5−20 μmol/L and 20−1000 μmol/L. The lowest detection limit (RSN=3) was 0.55 μmol/L. This method was applied to the detection of actual blood, and the recovery rate of the standard addition was 93.35%−104.23%, with a relative standard deviation of 0.37%−7.37%, showing good recovery rate and accuracy. The above results indicate that this electrochemical sensor has potential application value in the detection of dopamine and is expected to sensitively detect the content of clenbuterol in food and dopamine in human serum.

     

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