A High Performance Liquid Chromatography-Mass Spectrometry (HPLC-MS) Qualitative Detection Method Developed for In Vivo Analyses of Toxin Orellanine from the Cortinarius orellanus Fr.—Part II

Author:

Brondz Ilia1,Brondz Anton2

Affiliation:

1. Department of Biology, University of Oslo, Blindern, P. O. Box 1066, 0316 Oslo, Norway

2. Department of Chemistry, Norwegian University of Science and Technology, 7491 Trondheim, Norway

Abstract

The high-performance liquid chromatography—mass spectrometry (HPLC-MS) qualitative analysis method in negative mode of detection was used to record the presence of orellanine in the stomach contents of rats after ingestion of Cortinarius orellanus. Intoxication with orellanine causes acute renal failure (ARF), which is characterized by sudden loss of the ability of the kidneys to excrete wastes. The detection method presented here can be used as a platform for future development of analytical procedures for detecting orellanine in cases of human intoxication by toadstools. The presence of orellanine in animal stomach contents was analytically recorded and compared with standard orellanine, which was donated by the R&D Department of Jupiter Ltd, Norway. The MS fragmentation described in the literature and the MS fragmentation of standard samples of isolated orellanine verified the presence of orellanine in the stomach contents of laboratory animals. The presence of a diglucoside of orellanine, which was described as part of the toxic orellanine complex by Spiteller et al., in the stomach contents of animals, was also verified using HPLC-MS.

Publisher

Hindawi Limited

Subject

General Medicine

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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