Reduced Graphene Oxide Based Electrochemical Nonenzymatic Human Serum Glucose Sensor

Medha Gijare, Sharmila Chaudhari, S. Ekar, A. Garje
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引用次数: 40

Abstract

Present work proposes green synthesis of reduced graphene oxide using lemon peel extract(vitamin-c) and its application as an electrochemical nonenzymatic human serum glucose sensor. Improved modified Hummer’s method was preferred for the preparation of graphene oxide. X-ray diffraction (XRD), Ultraviolet-visible absorption spectroscopy (UV-Vis) and X-ray photon spectroscopy (XPS) analysis revealed the successful reduction of Graphene oxide (GO) using lemon peel extract. Field emission scanning electron microscopy (FESEM), Fourier transform infra-red spectroscopy (FTIR) and Raman spectroscopy supports the formation of reduced graphene oxide (rGO) nanosheets. The proposed glucose sensor exhibits high sensitivity of 1402 μA·cm −2 mM −1 (S/N=3) along with correlation coefficient of 0.9887 and low detection limit of 0.011 μM. The sensor has detected glucose with RSD of 1.99% in human blood serum. The measured values are well agreed with the values obtained using professional glucose sensor used in hospitals.
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基于还原氧化石墨烯的电化学非酶人血清葡萄糖传感器
目前,研究人员提出利用柠檬皮提取物(维生素c)绿色合成还原性氧化石墨烯,并将其应用于电化学非酶人血清葡萄糖传感器。改进后的Hummer方法是制备氧化石墨烯的首选方法。x射线衍射(XRD)、紫外可见吸收光谱(UV-Vis)和x射线光子光谱(XPS)分析表明,柠檬皮提取物成功还原了氧化石墨烯(GO)。场发射扫描电子显微镜(FESEM)、傅里叶变换红外光谱(FTIR)和拉曼光谱支持还原氧化石墨烯(rGO)纳米片的形成。该传感器灵敏度为1402 μA·cm−2 mM−1 (S/N=3),相关系数为0.9887,检出限为0.011 μM。该传感器对人血清中葡萄糖的检测RSD为1.99%。测量值与医院使用的专业血糖传感器测量值吻合良好。
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