Early prediction of pharmaceutical oxidation pathways by computational chemistry and forced degradation.

Abstract:

PURPOSE:To show, using a model study, how electronic structure theory can be applied in combination with LC/UV/MS/MS for the prediction and identification of oxidative degradants. METHODS:The benzyloxazole 1, was used to represent an active pharmaceutical ingredient for oxidative forced degradation studies. Bond dissociation energies (BDEs) calculated at the B3LYP/6-311+G(d,p)//B3LYP/6-31G(d) level with isodesmic corrections were used to predict sites of autoxidation. In addition, frontier molecular orbital (FMO) theory at the Hartree-Fock level was used to predict sites of peroxide oxidation and electron transfer. Compound 1 was then subjected to autoxidation and H2O2 forced degradation as well as formal stability conditions. Samples were analyzed by LC/UV/MS/MS and degradation products proposed. RESULTS:The computational BDEs and FMO analysis of 1 was consistent with the LC/UV/MS/MS data and allowed for structural proposals, which were confirmed by LC/MS/NMR. The autoxidation conditions yielded a number of degradants not observed under peroxide degradation while formal stability conditions gave both peroxide and autoxidation degradants. CONCLUSIONS:Electronic structure methods were successfully applied in combination with LC/UV/MS/MS to predict degradation pathways and assist in spectral identification. The degradation and excipient stability studies highlight the importance of including both peroxide and autoxidation conditions in forced degradation studies.

journal_name

Pharm Res

journal_title

Pharmaceutical research

authors

Reid DL,Calvitt CJ,Zell MT,Miller KG,Kingsmill CA

doi

10.1023/b:pham.0000041469.96466.12

subject

Has Abstract

pub_date

2004-09-01 00:00:00

pages

1708-17

issue

9

eissn

0724-8741

issn

1573-904X

journal_volume

21

pub_type

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