Direct evidence of both electron ionization- and chemical ionization-like fragmentation in fast-atom bombardment mass spectra of prenylated flavonoids confirmed by tandem mass spectrometry

1989 ◽  
Vol 3 (1) ◽  
pp. 4-6 ◽  
Author(s):  
Mitsuo Takayama ◽  
Toshio Fukai ◽  
Taro Nomura ◽  
Kazutetsu Nojima
1990 ◽  
Vol 38 (12) ◽  
pp. 3389-3394 ◽  
Author(s):  
Michiaki YONEDA ◽  
Kazuo TSUJIMOTO ◽  
Mamoru OHASHI ◽  
Masami SHIRATSUCHI ◽  
Yasushi OHKAWA ◽  
...  

1993 ◽  
Vol 76 (2) ◽  
pp. 306-312 ◽  
Author(s):  
Thomas Cairns ◽  
Emil G Siegmund ◽  
Bobby Rader

Abstract The electron ionization (El) and chemical ionization (CI) mass spectra of 12 representative testosterone esters were examined to explore the various analytical options available for identification and confirmation of the esters. Using El, a number of fragment ions indicated the identification of the testosterone moiety, but structural confirmation of the individual esters often required the observance of the molecular ion at very low relative abundance ratios. The acceptable analytical method involved CI/tandem mass spectrometry based on the production of the 2 generic product ions derived from the protonated molecule ion.


1993 ◽  
Vol 47 (6) ◽  
pp. 844-851 ◽  
Author(s):  
S. W. Chen ◽  
G. R. Her

Desorption chemical ionization with ammonia as the reagent gas in combination with tandem mass spectrometry is described for the analysis of additives in polyethylene. The additives were extracted with toluene and then analyzed directly by desorption chemical ionization and tandem mass spectrometry. With ammonia as the reagent gas, mass spectra of additives were found to contain intense pseudomolecular ions with very little fragmentation. In addition, low-molecular-weight polyethylene molecules extracted with the additives were barely detectable, and thus there was less likelihood of interference. Collision-induced dissociation of the pseudomolecular ions provided great confidence in the assignment of additives.


2018 ◽  
Author(s):  
Zhiwu An ◽  
Fuzhou Gong ◽  
Yan Fu

We have developed PTMiner, a first software tool for automated, confident filtering, localization and annotation of protein post-translational modifications identified by open (mass-tolerant) search of large tandem mass spectrometry datasets. The performance of the software was validated on carefully designed simulation data. <br>


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