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Mass spectral characteristics of derivatized metabolites of benzo [ A ] pyrene
Author(s) -
Chess Edward K.,
Thomas Berta L.,
Hendren David J.,
Bean Roger M.
Publication year - 1988
Publication title -
biomedical and environmental mass spectrometry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.475
H-Index - 121
eISSN - 1096-9888
pISSN - 0887-6134
DOI - 10.1002/bms.1200150905
Subject(s) - chemistry , mass spectrum , chrysene , electron ionization , metabolite , chemical ionization , fragmentation (computing) , trifluoroacetic acid , pyrene , acetic acid , anthracene , mass spectrometry , medicinal chemistry , stereochemistry , organic chemistry , chromatography , ionization , ion , biochemistry , computer science , operating system
The electron impact (EI) mass spectra of the permethyl, peracetyl and per(trifluoroacetyl) derivatives of hydroxylated benzo[ a ]pyrene (B[ a ]P) metabolites were determined and the fragmentation chemistry producing the spectra elucidated. The metabolites investigated were: 3‐hydroxy‐B[ a ]P; 7,8‐dihydro‐7,8‐dihydroxy‐B[ a ]P; 7,8,9,10‐tetrahydro‐7,8,9‐trihydroxy‐B[ a ]P; and 7,8,9,10‐tetrahydro‐7,8,9,10‐tetrahydroxy‐B[ a ]P. In addition, the positive and negative methane chemical ionization spectra were determined for the derivatives of the BP‐tetrol. The EI fragmentation patterns of the methylated metabolites that contained partially saturated rings were complex and, in the case of the di‐ and trimethoxy compounds, included apparent violations of the even‐electron rule. The permethylated triol and tetrol cleaved through a retro‐Diels‐Alder reaction. The EI spectra of the peracetates were dominated by losses of acetic acid and ketene. The per(trifluoroacetyl) species fragmented by losing elements of trifluoroacetic acid, trifluoracetate radical and trifluoroacetyl. The spectra obtained from the permethylated tetrol permitted accurate prediction of the corresponding permethylated derivatives of tetrol metabolites of chrysene and benz[ a ]anthracene. The ability to predict spectra may be useful in trace analysis of hydrocarbon metabolites in biological samples.