摘要
通过简单的热解过程成功制备了结构优化的多孔石墨烯(PG),并用于构建复杂体系中毛蕊异黄酮(CYS)痕量分析的电化学传感器。采用拉曼光谱法、傅里叶红外光谱分析法及扫描电子显微镜对制备过程进行了表征。循环伏安法(CV)和交流阻抗法(EIS)研究了PG修饰的玻碳电极(PG@GCE)的电化学行为,结果表明,PG有效增加了修饰电极的有效比表面积和电极表面的电子传递速率,中药电活性成分CYS在PG@GCE表面具有良好的电化学响应。在优化的条件下,采用差分脉冲伏安法(DPV)对CYS进行分析,CYS在1.8×10^(-7)～4.4×10^(-5)mol/L浓度范围内具有良好的线性关系,检出限为5.8×10^(-8)mol/L(S/N=3)。将此传感器用于中药黄芪、红芪的提取物及血浆样品中CYS的分析时,呈现良好的分析性能。本研究为中药黄芪和红芪中指标性成分的快速分析及生物样品中CYS的痕量分析提供了一种新颖的分析手段,也进一步深化了PG在药物分析领域的应用。
The porous graphene(PG)with excellent structure was successfully prepared by a simple pyrolysis process,which was then applied to the construction of electrochemical sensor(PG@GCE)for detection of calycosin.The porous graphene was characterized by Raman spectroscopy,Fourier transform infrared spectroscopy,and scanning electron microscopy.Also,the electrochemical properties of the proposed sensors were characterized by cyclic voltammetry(CV)and electrochemical impedance spectroscopy(EIS),indicating that the sensor had relatively large specific surface area and higher electron transport rate.Based on all those characteristics,the PC@GCE sensor displayed a great response to calycosin,a traditional Chinese medicine(TCM)active ingredient.Under the optimized conditions,the sensors displayed a good linear relationship between the peak current and the calycosin concentration in the range of 1.8×10^-7-4.4×10^-5 mol/L with a detection limit of 5.8×10^-8 mol/L(S/N=3).This study provided a novel analytical method for trace detection of calycosin,and rapid identification of Radix Hedysari and Radix Astragali in biological samples.At the same time,it would also deepen the application of porous graphene in the field of pharmaceutical analysis.
作者
孙伯禄
蔡金颖
李玳
苟晓丹
苟于强
李文
胡芳弟
SUN Bo-Lu;CAI Jin-Ying;LI Dai;GOU Xiao-Dan;GOU Yu-Qiang;LI Wen;HU Fang-Di(School of Pharmacy,Lanzhou University,Lanzhou 730000,China;School of Chemistry and Chemical Engineering,Nanjing University,Nanjing 210046,China;Lanzhou Military Command Center for Disease Prevention and Control,Lanzhou 730000,China)
出处
《分析化学》
SCIE
EI
CAS
CSCD
北大核心
2019年第2期271-280,共10页
Chinese Journal of Analytical Chemistry
基金
甘肃省科技厅科技重大专项项目(No.17ZD2FA009)
兰州市科技局专利转化项目(No.2017-4-119)
兰州市成果转化基地项目(No.2016-2-80)
国家重点研发计划项目(No.2018YFC1706300)
国家中药标准化项目(No.ZYBZH-Y-GS-10)资助~~
