Liquid chromatographic determination of glyphosate and aminomethylphosphonic acid residues in rapeseed with MS/MS detection or derivatization/fluorescence detection

Author:

Kaczyński Piotr,Łozowicka Bożena

Abstract

AbstractGlyphosate and AMPA determinations in rapeseed extracts by (a) liquid chromatography with triple quadrupole MS detection (LC-MS/MS), or (b) liquid chromatography with post-column OPA derivatization and fluorescence detection (LC-FLD) were developed. Mean recoveries for glyphosate and AMPA were (a) 88.8–95.0% and 82.1–86.1%, and (b) 70.8–74.1% and 62.4–72.6%. RSD were below (a) 11% and (b) 22%. Correlation coefficients were above 0.997 for both methods. LOD were 0.01 mg kg

Publisher

Walter de Gruyter GmbH

Subject

Materials Chemistry,General Chemistry

Reference54 articles.

1. Automated trace level determination of glyphosate and aminomethyl phosphonic acid in water by on - line anion - exchange solid - phase extraction followed by cation - exchange liquid chromatography and post - column derivatization;Patsias;Chromatogr,2001

2. Direct aqueous determination of glyphosate and related compounds by liquid chromatography / tandemmass spectrometry using reversed - phase and weak anion - exchange mixed - mode column;Hao;Chromatogr,2011

3. Fate of glyphosate in soil and the possibility of leaching to ground and surface waters : a review;Borggaard;Pest Manag Sci,2008

4. Analysis of glyphosate glufosinate and aminomethylphosphonic acid by capillary electrophoresis with indirect fluorescence detection;Chang;Chromatogr,2002

5. Re - evaluation of glyphosate determination in water by liquid chromatography coupled to electrospray tandem mass spectrometry;Ibanez;Chromatogr,2006

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3