Literature DB >> 11161319

Methods for the quantitation of abscisic acid and its precursors from plant tissues.

P H Duffield1, A G Netting.   

Abstract

Methods are given for the quantitation of the plant stress hormone, abscisic acid (ABA), and its two metabolic precursors, ketone and enolate, that are applicable to all species tested so far. The plant extract is homogenized at neutral pH, hexane-soluble neutrals are extracted and discarded, and then the free ABA and other organic acids are extracted as ion pairs. The remaining aqueous phase is acidified, allowed to stand, neutralized, and extracted to give the ABA ex ketone fraction and then the aqueous phase is treated with base and again extracted to give the ABA ex enolate fraction. Each of these three fractions, free ABA, ABA ex ketone, and ABA ex enolate, along with a deuteriated internal standard, [side-chain-(2)H(4)]ABA, is then derivatized with pentafluorobenzyl bromide and purified on an automated sample preparation system. The resulting pentafluorobenzyl abscisate samples are then quantified using electron capture negative ionization mass spectrometry with methane as the reagent gas. Using these procedures free ABA, and ABA from its precursors, can be quantified at the level of 100 fg on column. If a large volume injector is used so that the total sample is injected it should be possible to quantify ABA and its precursors in the parts per billion range on a few milligrams of plant tissue. Copyright 2001 Academic Press.

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Year:  2001        PMID: 11161319     DOI: 10.1006/abio.2000.4943

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  3 in total

Review 1.  Quo vadis plant hormone analysis?

Authors:  Danuše Tarkowská; Ondřej Novák; Kristýna Floková; Petr Tarkowski; Veronika Turečková; Jiří Grúz; Jakub Rolčík; Miroslav Strnad
Journal:  Planta       Date:  2014-03-28       Impact factor: 4.116

2.  Xylem sap collection and extraction methodologies to determine in vivo concentrations of ABA and its bound forms by gas chromatography-mass spectrometry (GC-MS).

Authors:  Andrew G Netting; Julian C Theobald; Ian C Dodd
Journal:  Plant Methods       Date:  2012-03-22       Impact factor: 4.993

3.  Combining genomics, metabolome analysis, and biochemical modelling to understand metabolic networks.

Authors:  O Fiehn
Journal:  Comp Funct Genomics       Date:  2001
  3 in total

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