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中国精品科技期刊2020
李静, 余婉松, 夏苏捷, 陈燕, 王柯. 基于表面增强拉曼光谱的养殖水中硝基呋喃类抗生素残留检测[J]. 食品工业科技, 2019, 40(24): 225-230,236. DOI: 10.13386/j.issn1002-0306.2019.24.037
引用本文: 李静, 余婉松, 夏苏捷, 陈燕, 王柯. 基于表面增强拉曼光谱的养殖水中硝基呋喃类抗生素残留检测[J]. 食品工业科技, 2019, 40(24): 225-230,236. DOI: 10.13386/j.issn1002-0306.2019.24.037
LI Jing, YU Wan-song, XIA Su-jie, CHEN Yan, WANG Ke. Detection of Nitrofuran Antibiotics Residues in Fishery Water by Surface-enhanced Raman Spectroscopy[J]. Science and Technology of Food Industry, 2019, 40(24): 225-230,236. DOI: 10.13386/j.issn1002-0306.2019.24.037
Citation: LI Jing, YU Wan-song, XIA Su-jie, CHEN Yan, WANG Ke. Detection of Nitrofuran Antibiotics Residues in Fishery Water by Surface-enhanced Raman Spectroscopy[J]. Science and Technology of Food Industry, 2019, 40(24): 225-230,236. DOI: 10.13386/j.issn1002-0306.2019.24.037

基于表面增强拉曼光谱的养殖水中硝基呋喃类抗生素残留检测

Detection of Nitrofuran Antibiotics Residues in Fishery Water by Surface-enhanced Raman Spectroscopy

  • 摘要: 建立基于表面增强拉曼光谱(SERS)技术的便携式拉曼光谱仪,用于水产品流通过程养殖水中硝基呋喃类抗生素的快速测定。参照经典方法制备了Ag、Au纳米粒子,通过优化促凝剂、调节体系pH、选择纳米溶剂及其用量、考查吸附等待时间得到最佳SERS增强效果。结果表明,养殖水中4种硝基呋喃类抗生素呋喃妥因、呋喃西林、呋喃唑酮、呋喃它酮的检测限分别为1、0.1、5、0.1 μg/mL。所建立的快检方法灵敏度、特异性≥95%、假阴性率和假阳性率≤5%,均符合食药监科便函201683号《食品快速检测方法评价技术规范》的要求,可应用于水体中硝基呋喃类抗生素的残留检测。

     

    Abstract: The paper was to establish a method for rapid determination of nitrofuran antibiotics in fishery water by surface-enhanced Raman scattering(SERS). According to the classic methods,two kinds of nanoparticles Ag and Au were prepared as SERS substrates. By adjusting the pH of the system,optimizing the coagulants,nanoparticles type and volume,adsorption time,the optimal SERS enhancement effects were obtained. The limits of detection of nitrofurantion,nitrofurazone,furazolidone and furaltadone were 1,0.1,5 and 0.1 μg/mL respectively. The result showed that,the sensitivity and specificity of the SERS methods were over 95%,and the rates of false positive and false negative results were less than 5%,which were all conform to the evaluation specification of food rapid analysis method. The developed SERS methods could be used to quickly detect nitrofuran antibiotics in fishery water.

     

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