Analysis of silyl derivatives of methylphosphonic acid esters by gas chromatography-mass spectrometry with atmospheric pressure photoionization

2014 ◽  
Vol 69 (14) ◽  
pp. 1356-1360 ◽  
Author(s):  
Yu. S. Yashin ◽  
I. A. Revelsky ◽  
I. N. Tikhonova
2004 ◽  
Vol 385 (9) ◽  
pp. 853-861 ◽  
Author(s):  
Sergey Strelkov ◽  
Mirko von Elstermann ◽  
Dietmar Schomburg

AbstractAn analytical method based on gas chromatography/mass spectrometry was developed for metabolome investigation ofCorynebacterium glutamicum. For the first time a fast method for metabolic screening that can be automated is described for this organism. More than 1000 compounds could be detected per experiment, ca. 330 of those showed a peak area significantly above background. Out of these 164 compounds were identified so far, representing derivatives of 121 different metabolites, which were quantified in one sample. In spite of the different chemical nature of metabolites and high matrix content, a measurement reproducibility in the range of 6% error was achieved. The application of this method for the analysis of the adaptation ofC. glutamicumto different growth conditions is demonstrated.


1989 ◽  
Vol 35 (7) ◽  
pp. 1394-1398 ◽  
Author(s):  
C E Jones ◽  
F H Wians ◽  
L A Martinez ◽  
G J Merritt

Abstract We developed algorithms for confirmation and identification of benzodiazepines and their metabolites, initially detected in urine samples by enzyme-multiplied immunoassay (EMIT). These algorithms are based on the pattern of benzophenone derivatives of benzodiazepines obtained by gas chromatography-mass spectrometry (GC-MS) with use of a modified specific ion selection mode. Benzophenone derivatives were produced by acid hydrolysis of urine samples containing benzodiazepines and (or) their metabolites. We present mass spectra of the newer benzodiazepines--alprazolam, midazolam, and triazolam--and we determined the detection limit (0.2 mg/L) for these drugs as measured with the EMIT d.a.u. benzodiazepine assay and the ETS instrument (both from Syva Co.). We conclude that these algorithms are useful mostly in forensic toxicology in which unequivocal identification of benzodiazepines is the desired goal.


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