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首页> 外文期刊>Electrocatalysis >3,8-Diaminobenzo[c]Cinnoline Derivatived Graphene Oxide Modified Graphene Oxide Sensor for the Voltammetric Determination of Cd2+ and Pb2+
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3,8-Diaminobenzo[c]Cinnoline Derivatived Graphene Oxide Modified Graphene Oxide Sensor for the Voltammetric Determination of Cd2+ and Pb2+

机译：3,8-二氨基苯并[c]五氢化萘衍生物氧化石墨烯修饰的氧化石墨烯伏安法测定Cd2 +和Pb2 +

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摘要

Highly sensitive 3,8-diaminobenzo[c]cinnoline (3,8-DABCC) modified graphene oxide (GO) electrode was prepared, and it was denoted as pGO-DABCC. The electrode material was characterized with infrared spectroscopy (IR), X-ray photoelectron spectroscopy (XPS), cyclic voltammetry (CV), and electrochemical impedance spectroscopy (EIS). pGO-DABCC on glassy carbon (GC/pGO-DABCC) electrode was investigated for simultaneous determination of Cd2+ and Pb2+ in aqueous media by differential pulse anodic stripping voltammetry (DPASV). Optimum conditions of the electrode were determined with some parameters such as constant potential, incubation time, pH, and volume of suspension on the electrode. The calibration equations for Cd2+ and Pb2+ determination were calculated as Ip(mu A) = 0.3606[Cd2+] + 0.4346 with a correlation coefficient of 0.9972 and Ip(mu A) = 0.2496[Pb2+] + 0.2878 with a correlation coefficient of 0.9968 (N = 5), respectively. The detection limits (LODs) for Cd2+ and Pb2+ were calculated as 0.12 and 0.21 mu g/L, respectively. The remarkable results, such as good selectivity, repeatability, and reproducibility were obtained with the modified electrode. Application of the sensors to milk samples produced recovery values in the range 95 to 102 %.
机译：制备了高灵敏度的3,8-二氨基苯并[c] cinnoline（3,8-DABCC）修饰的氧化石墨烯（GO）电极，称为pGO-DABCC。电极材料通过红外光谱（IR），X射线光电子能谱（XPS），循环伏安法（CV）和电化学阻抗谱（EIS）进行表征。研究了玻碳电极上的pGO-DABCC（GC / pGO-DABCC）电极，通过差分脉冲阳极溶出伏安法（DPASV）同时测定水性介质中的Cd2 +和Pb2 +。电极的最佳条件由一些参数确定，例如恒定电势，孵育时间，pH和电极上的悬浮液体积。计算Cd2 +和Pb2 +的校准方程为Ip（mu A）= 0.3606 [Cd2 +] + 0.4346（相关系数为0.9972）和Ip（mu A）= 0.2496 [Pb2 +] + 0.2878（相关系数为0.9968（N = 5）。 Cd2 +和Pb2 +的检出限（LOD）分别计算为0.12和0.21μg / L。用修饰的电极获得了显着的结果，例如良好的选择性，可重复性和可重复性。将传感器应用于牛奶样品可产生95％至102％的回收率。

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