首页> 美国卫生研究院文献>Plant Methods >High-throughput quantification of more than 100 primary- and secondary-metabolites and phytohormones by a single solid-phase extraction based sample preparation with analysis by UHPLC–HESI–MS/MS
【2h】

High-throughput quantification of more than 100 primary- and secondary-metabolites and phytohormones by a single solid-phase extraction based sample preparation with analysis by UHPLC–HESI–MS/MS

机译:通过基于固相萃取的单一样品前处理并通过UHPLC-HESI-MS / MS分析可对100多种初级代谢物和次级代谢物以及植物激素进行高通量定量

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

BackgroundPlant metabolites are commonly functionally classified, as defense- or growth-related phytohormones, primary and specialized metabolites, and so forth. Analytical procedures for the quantifications of these metabolites are challenging because the metabolites can vary over several orders of magnitude in concentrations in the same tissues and have very different chemical characteristics. Plants clearly adjust their metabolism to respond to their prevailing circumstances in very sophisticated ways that blur the boundaries among these functional or chemically defined classifications. But if plant biologists want to better understand the processes that are important for a plant’s adaptation to its environment, procedures are needed that can provide simultaneous quantifications of the large range of metabolites that have the potential to play central roles in these adjustments in a cost and time effective way and with a low sample consumption.
机译:背景植物代谢物通常按功能分类,包括与防御或生长相关的植物激素,主要代谢物和专门代谢物等。这些代谢物的定量分析方法具有挑战性,因为在同一组织中,这些代谢物的浓度可能在几个数量级上变化,并且具有非常不同的化学特征。植物明显地以非常复杂的方式调节其新陈代谢,以响应其当前环境,从而模糊了这些功能或化学定义的分类之间的界限。但是,如果植物生物学家想更好地了解对于植物适应环境至关重要的过程,则需要能够同时定量分析大量代谢物的程序,这些代谢物可能在成本和成本的调整中发挥核心作用。时间有效的方法,样品消耗低。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号