中国农业科学院农业信息研究所 中国农学会
Agricultural Information Institute of CAAS China Association of Agricultural Science Societies
En
Ch
中国农业科学院农业信息研究所 中国农学会 主办

AI检索

订阅

返回顶部
当前位置: 首页 > 文章 > UPLC-MS/MS法检测稻米中苄嘧磺隆和苯噻酰草胺的残留量 中国稻米 2014,20 (6) 18-20
Position: Home > Articles > Determination of Bensulfuron-methyl and Mefenacet Residues in Rice by UPLC-MS/MS China Rice 2014,20 (6) 18-20

UPLC-MS/MS法检测稻米中苄嘧磺隆和苯噻酰草胺的残留量

作  者：
刘峰;赵琳;金海涛;陈国峰;任红波;张晓波;张瑞英
单  位：
黑龙江省农业科学院农产品质量安全研究所
关键词：
苄嘧磺隆;苯噻酰草胺;稻米;高效液相色谱-质谱/质谱法
摘  要：
建立了水稻中提取苄嘧磺隆和苯噻酰草胺残留量的液相色谱-质谱/质谱测定方法 UPLC-MS/MS。稻米样品经乙腈匀浆,上清液经氮气吹干浓缩,过PSA固相萃取柱净化,经UPLC-MS/MS测定,外标法定量。苄嘧磺隆在稻米中的最低检出量为0.1 ng,最低检出浓度为0.02 mg/kg,添加回收率为77.7%~91.5%,稻米的RSD为2.9%~8.5%;苯噻酰草胺在稻米中的最低检出量为0.05 ng,最低检出浓度为0.01 mg/kg,添加回收率为94.0%~109.0%,稻米的RSD为5.0%~8.2%。建立方法准确、快速、灵敏度高,能够满足苄嘧磺隆和苯噻酰草胺残留量分析的要求。
译  名：
Determination of Bensulfuron-methyl and Mefenacet Residues in Rice by UPLC-MS/MS
作  者：
LIU Feng;ZHAO Lin;JIN Hai-tao;CHEN Guo-feng;ZHANG Xiao-bo;REN Hong-bo;ZHANG Rui-ying;Safety and Quality Institute of Agricultural Products, Heilongjiang Academy of Agricultural Sciences;
关键词：
Bensulfuron-methyl;;Mefenacet;;rice;;liquid chromatography mass spectrometry(UPLC-MS/MS)
摘  要：
Established the detection of bensulfuron-methyl and mefenacet residues in rice by UPLC-MS/MS methods. Rice samples were homogenized in acetonitrile, the supernatant was dried by nitrogen concentration, over PSA solid phase extraction(SPE), measured by UPLC-MS/MS, external standard. Bensulfuron-methyl minimum detectable amount of rice is 0.1ng, the minimum detectable concentration of 0.02 mg/kg, recoveries were 77.7% ~91.5%, rice RSD 2.9% to 8.5%; mefenacet in rice in the minimum detectable amount of 0.05 ng, the minimum detectable concentration of 0.01 mg/kg, recoveries were 94.0% ~109.0%, rice RSD 5.0% to 8.2%.The method is accurate, rapid, sensitive and able to meet bensulfuron-methyl and mefenacet residue analysis.

相似文章

导出引用
计量
文章访问数: 11
HTML全文浏览量: 0
PDF下载量: 0

所属期刊

推荐期刊

友情链接Friendly link
农业信息研究所Agricultural information institute 农业智能知识服务平台Agricultural intelligent knowledge service platform 农业学术服务平台Agricultural Knowledge Service System 中国知网CNKI 维普网VIP 万方WANFANG DATA
联系我们Contact us

电话Tell：010-82109652-808

邮箱E-mail：agrijournal@caas.cn

服务Service
关于我们About us 意见建议Opinions and suggest
版权说明Copyright
单位：中国农业科学院农业信息研究所 中国农学会 © 2017中国农业科学院农业信息研究所 ICP备案号：京ICP备09089781号-46