崔 虹,孙书荃,刘宝林.基于Au@PtNPs-Cu-MOF/GCE传感器检测果蔬中葡萄糖[J].食品安全质量检测学报,2022,13(14):4620-4625
基于Au@PtNPs-Cu-MOF/GCE传感器检测果蔬中葡萄糖
Detection of glucose in fruits and vegetables based on Au@PtNPs-Cu-MOF/GCE sensor
投稿时间:2022-04-06  修订日期:2022-05-28
DOI:
中文关键词:  葡萄糖  纳米材料  铜金属有机骨架  传感器
英文关键词:glucose  nanometer material  copper metal organic skeleton  sensors
基金项目:河南省高等学校重点科研计划项目(21A170015)
作者单位
崔 虹 黄河水利职业技术学院环境工程学院 
孙书荃 黄河水利职业技术学院环境工程学院 
刘宝林 河南大学化学化工学院 
AuthorInstitution
CUI Hong College of Environmental Engineering, Yellow River Conservancy Technical Institute 
SUN Shu-Quan College of Environmental Engineering, Yellow River Conservancy Technical Institute 
LIU Bao-Lin College of Chemistry and Chemical Engineering, Henan University 
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中文摘要:
      目的 制备新型金@铂纳米复合材料-铜金属有机骨架/玻碳电极(gold platinum nanocomposites-copper metal organic framework/glassy carbon electrode, Au@PtNPs-Cu-MOF/GCE)传感器, 并对水果中的葡萄糖进行快速检测分析。方法 先制备二维Cu-MOF纳米材料, 并在其表面负载核壳结构的Au@PtNPs, 合成Au@PtNPs-Cu-MOF纳米复合材料, 最终构建一种新型Au@PtNPs-Cu-MOF/GCE传感器, 通过对电解质pH、计时安培电位的优化确定Au@PtNPs-Cu-MOF/GCE传感器的最佳工作条件, 并应用于梨中葡萄糖的定量分析。结果 葡萄糖浓度与其峰电流分别在0.1~10.0和10.0~2600.0 μmol/L范围内呈良好的线性关系, 检出限为0.0872 μmol/L, 定量限为0.9632 μmol/L, 线性范围宽、检出限低, 明显优于其他的葡萄糖无酶传感器。Au@PtNPs-Cu-MOF/GCE传感器的重复性和抗干扰能力较好, 8次扫描的相对标准偏差为1.32%。对梨汁中的检测结果为1.7449 mmol/L, 与高效液相色谱法一致且偏差仅为5.46%。结论 Au@PtNPs-Cu-MOF/GCE操作简便、快捷且成本低廉, 可用于果蔬中葡萄糖的快速定量分析。
英文摘要:
      Objective To prepare a new gold platinum nanocomposites-copper metal organic framework/glassy carbon electrode (Au@PtNPs-Cu-MOF/GCE) sensor for the detection of glucose in fruits rapidly. Methods Two dimensional Cu-MOF nanomaterials were prepared and Au@PtNPs with core-shell structure was loaded on surface for synthesizing a new Au@PtNPs-Cu-MOF nanocomposites. Finally, a novel Au@PtNPs-Cu-MOF/GCE sensor was constructed, the optimal working conditions of Au@PtNPs-Cu-MOF/GCE were determined by optimizing the electrolyte pH and chronoamperometric potential, it was applied to quantitative analysis of glucose in pear. Results The linear relationships between glucose concentration and its peak current in the range of 0.1?10.0 and 10.0?2600.0 μmol/L, respectively, the limit of detection (S/N=3) was 0.0872 μmol/L and the limit of quantitation was 0.9632 μmol/L, the linear range was wide and the limit of detection was low, which was superior to other glucose enzyme-free sensors. Au@PtNPs-Cu-MOF/GCE sensor had good repeatability and anti-interference ability, and the relative standard deviation of 8 scans was 1.32%. The detection result of pear juice was 1.7449 mmol/L, which was consistent with that of high performance liquid chromatography, and the deviation was only 5.46%. Conclusion Au@PtNPs-Cu-MOF/GCE is simple, fast, low-cost, and can be used for detecting glucose in fruits and vegetables rapidly.
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