| 高效液相色谱法检测水产品中硝基呋喃类代谢物残留量 |
| |
| 引用本文： | 王媛,蔡友琼,贾东芬,于慧娟,黄冬梅,史永富,钱蓓蕾,史志霞.高效液相色谱法检测水产品中硝基呋喃类代谢物残留量[J].分析试验室,2009,28(12). |
| |
| 作者姓名： | 王媛 蔡友琼 贾东芬 于慧娟 黄冬梅 史永富 钱蓓蕾 史志霞 |
| |
| 作者单位： | 1. 中国水产科学研究院东海水产研究所,农业部水产品质量监督检验测试中心(上海),上海,200090
2. 北京六角体科技发展有限公司,北京,100025 |
| |
| 摘 要： | 建立了水产品中硝基呋喃类代谢物残留量测定的样品处理方法和高效液相色谱分析方法.样品经酸解、2.氯苯甲醛衍生后用乙酸乙酯萃取、SPE柱净化,经高效液相-紫外检测器测定.本方法4种硝基呋喃类代谢物的定量限均为1.0μg/kg,在5.0～500μg/L质量浓度范围内,4种硝基呋喃类代谢物的工作曲线均呈良好线性,在2个添加浓度水平的平均回收率为76%～102%,相对标准偏差均小于10%(n=6).该方法适用于定性定量水产品中硝基呋喃类代谢物的残留分析.
|
| 关 键 词： | 硝基呋喃类代谢物 水产品 残留分析 高效液相色谱 |
Determination of nitrofuran metabolite residues in aquatic products by high performance liquid chromatography |
| |
| WANG Yuan,CAI You-qiong,JIA Dong-fen,YU Hui-juan,HUANG Dong-mei,SHI Yong-fu,QIAN Bei-lei,SHI Zhi-xia.Determination of nitrofuran metabolite residues in aquatic products by high performance liquid chromatography[J].Chinese Journal of Analysis Laboratory,2009,28(12). |
| |
| Authors: | WANG Yuan CAI You-qiong JIA Dong-fen YU Hui-juan HUANG Dong-mei SHI Yong-fu QIAN Bei-lei SHI Zhi-xia |
| |
| Institution: | WANG Yuan1,CAI You-qiong1,JIA Dong-fen2,YU Hui-juan1,HUANG Dong-mei1,SHI Yong-fu1,QIAN Bei-lei1 and SHI Zhi-xia2(1.East China Sea Fisheries Research Institute,CAFS Aquatic Product Quality Inspection and Test Center(Shanghai),Ministry of Agriculture of P.R.China,Shanghai 200090,2.Beijing Liujiaoti Science & Technology Development Co,Ltd.Beijing 100025) |
| |
| Abstract: | A quantitative high performance liquid chromatographic method using ultraviolet detection has been developed for the determination of nitrofuran metabolites in aquatic products.The analytes were catalyzed under acidic conditions,and derivatized with 2-chlorobenzaldehyde(2-CPA).After liquid-liquid extraction with ethyl acetate and purification with SPE column,identification and quantification of the analytes were done by high performance liquid chromatography.The limits of quantification(LOQ) for AOZ,AMOZ,AH... |
| |
| Keywords: | Nitrofuran metabolites Aquatic products Residue analysis HPLC |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
