Applications of artificial intelligence for chemical inference. III. Aliphatic ethers diagnosed by their low-resolution mass spectra and nuclear magnetic resonance data

1969 ◽  
Vol 91 (26) ◽  
pp. 7440-7445 ◽  
Author(s):  
Gustav Schroll ◽  
A. M. Duffield ◽  
Carl Djerassi ◽  
B. G. Buchanan ◽  
G. L. Sutherland ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Mass Spectra ◽  
Nuclear Magnetic Resonance Data ◽  
Low Resolution ◽  
Magnetic Resonance Data ◽  
Resonance Data ◽  
Aliphatic Ethers ◽  
Resolution Mass

Methods to Determine Phytopharmaceuticals in Tobacco and Tobacco Products. 4th Report: A Procedure to Determine Vamidothion and its Metabolites/Methoden zur Bestimmung von Phytopharmaka in Tabak und Tabakerzeugnissen: IV. Mitteilung: Ein Bestimmungsverfahren fuer Vamidothion und seine Metaboliten

1977 ◽  
Vol 9 (2) ◽  
Author(s):  
A.N. Sagredos ◽  
R. Moser
Keyword(s):  
Mass Spectrometry ◽  
Nuclear Magnetic Resonance ◽  
Acetic Acid ◽  
Magnetic Resonance ◽  
Aluminium Oxide ◽  
Nuclear Magnetic Resonance Data ◽  
Gas Chromatograph ◽  
Tobacco Products ◽  
Magnetic Resonance Data ◽  
Resonance Data

AbstractBased on previous work (7) a method to simultaneously determine vamidothion [I], vamidothion-sulfoxide [II] and vamidothion sulfone [III] in tobacco has been developed. The compounds are extracted with water/acetone/acetic acid from the tobacco, cleansed over an aluminium oxide column and then determined on the gas chromatograph with the specific sulphur detector. Rates of recovery are 70 % - 92 %, the determination level is 0.1 ppm. Mass spectrometry and nuclear magnetic resonance data of vamidothion [I], vamidothion-sulfoxide [ II ] and vamidothion-sulfone [III] are given.

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