李 亭,李书国.基于纳米材料的免疫传感器法快速检测水产品中的呋喃西林代谢物[J].食品安全质量检测学报,2022,13(3):866-873 |
基于纳米材料的免疫传感器法快速检测水产品中的呋喃西林代谢物 |
Rapid determination of furacilin metabolites in aquatic products by immunosensor based on nano material |
投稿时间:2021-10-05 修订日期:2021-12-22 |
DOI: |
中文关键词: 呋喃西林代谢物 食品安全 纳米免疫传感器 水产品 快速检测 |
英文关键词:furacillin metabolites food safety nano immunosensor aquatic product rapid determination |
基金项目:国家自然科学基金项目(20876165)、河北省市场监督管理局科技计划重点项目(2020ZD15) |
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中文摘要: |
目的 建立纳米免疫传感器法快速检测水产品中呋喃西林代谢物的分析方法。方法 采用电沉积法, 在0~1.5 V电位区间内扫描3圈, 将纳米金负载到玻碳电极上, 依次将壳聚糖包埋的羧基化多壁碳纳米管修饰液和呋喃西林代谢物抗体滴涂在电极表面, 制得呋喃西林代谢物抗体/纳米金/壳聚糖/羧基化多壁碳纳米管修饰的纳米免疫传感器, 利用循环伏安法(扫描电位: ?0.2~0.6 V)对免疫传感器的性能进行表征, 差分脉冲伏安法(扫描电位: ?0.2~0.6 V)对水产品中呋喃西林代谢物进行检测。结果 最佳检测条件为: 修饰材料体积比为1:1、底液pH为7.0、抗体固载量为600 ng、孵育温度为37 ℃、时间为30 min。在此条件下, 该传感器的免疫响应电流与呋喃西林代谢物的浓度在(1.0~8.0)×10?8 mol/L的范围内具有良好的线性关系, 相关系数r2为0.99548, 检出限为2×10?10 mol/L (S/N=3), 加标回收率为95.18%~99.44%。结论 该方法具有较高的灵敏度、较好的特异性和重现性, 可用于水产品中呋喃西林代谢物的快速检测。 |
英文摘要: |
Objective To establish a method for the rapid determination of furacilin metabolites in aquatic products by nano immunosensor. Methods The electrodeposition method was adopted, in 0?1.5 V voltage range scanning 3 laps, nano gold would load on the glassy carbon electrode, in turn carboxyl chitosan embedding of multi-walled carbon nanotubes modified fluid and nitrofurazone metabolites antibody on the electrode surface coating, made nitrofurazone metabolites antibody/nano gold/chitosan/carboxyl of multi-walled carbon nanotubes modified nanometer sensor, cyclic voltammetry (scanning potential: ?0.2?0.6 V) was used to characterize the performance of the immunosensor, and differential pulse voltammetry (scanning potential: ?0.2?0.6 V) was used to detect the metabolites of furacillin in aquatic products. Results The optimal detection conditions were as follows: Modified material volume ratio 1:1, bottom solution pH value 7.0, antibody solid load 600 ng, incubation temperature 37 ℃ and incubation time 30 min. Under these conditions, the immunoresponse current of the sensor had a good linear relationship with the concentration of furacillin metabolites in the range of (1.0-8.0)×10?8 mol/L, the correlation coefficient r2 was 0.99548, the limit of detection was 2×10?10 mol/L (S/N=3), and the actual spiked recoveries were 95.18%?99.44%. Conclusion This method has high sensitivity, good specificity and reproducibility, and can be used for rapid determination of furacilin metabolites in aquatic products. |
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