基于rGO/g-C3N4纳米材料电化学传感器制备及其在日落黄检测中的应用

Preparation of electrochemical sensor base on rGO/g-C3N4 nanomaterials and its application in sunset yellow detection

中文关键词:  日落黄  rGO/g-C3N4  差分脉冲伏安法  检测

英文关键词:sunset yellow  rGO/g-C3N4  differential pulse voltammetry  detection

中文摘要:

      目的 开发一种简单、高灵敏度的电化学传感器, 用于定量测定商业食品中日落黄(sunset yellow, SY)的含量。方法 以氧化石墨烯(graphene oxide, GO)、石墨相氮化碳(g-C3N4)为原料, 水热还原制备复合材料(rGO/g-C3N4)。通过滴涂法将所制备的复合物溶液滴到工作电极上, 制备传感器。结果 在最优实验条件下, 用差分脉冲伏安法(differential pulse voltammetry, DPV)对不同质量浓度(20~120 mg/L)的SY进行检测, 线性方程为△I=0.06864C+0.06205, 检出限为0.125 mg/L。本传感器特异性和稳定性良好, 在实际样品检测中, 回收率为97.8%~101.2%。结论 rGO/g-C3N4复合纳米材料制备的传感器能够实现对SY的快速、灵敏检测, 且该方法操作简单、成本低, 在食品工业、安全检测等领域有巨大的应用前景。

英文摘要:

      Objective To develop a simple and highly sensitive electrochemical sensor for quantitative determination of sunset yellow (SY) in commercial food. Methods The composite (rGO/g-C3N4) was prepared by hydrothermal reduction using graphene oxide (GO) and graphite phase nitrogen carbide (g-C3N4) as raw materials. The prepared composite solution was dropped onto the working electrode by a drop coating method to prepare the sensor. Results Under the optimal experimental conditions, differential pulse voltammetry (DPV) was used to detect SY at different mass concentrations (20?120 mg/L). The linear equation was △I=0.06864C+0.06205, and the limit of detection was 0.125 mg/L. The specificity and stability of the sensor were studied well. In the actual sample detection, the recovery rate was 97.8%?101.2%. Conclusion The sensor made of rGO/g-C3N4 composite nanomaterial can quickly and sensitively detect SY, and the method is simple to operate and cheap, which has great application prospects in food industry, safety detection and other fields.