| Summary: | 碩士 === 國立中興大學 === 化學系所 === 97 === Penicillin G (PCN G) was the first antibiotic found and widely applied for human bacterial disease; however, hypersensitivity reactions to penicillin are due to different metabolites formed in vivo when the antibiotic is administered. Several penicillin metabolites in human allergic reaction have been studied and assessed by using penicillin skin test. Unfortunately, the skin test still may give false-negative results and bring the risk of unsafety, such as anaphylactic reactions. Currently, LC-MS and LC-MS/MS were applied to characterize drug metabolites, but they remain time-consuming processes. Frequently, the data obtained are insufficient to locate the site of metabolism on a candidate molecule. Data-dependent LC-MSn is a powerful tool to provide large amounts of the necessary structural information regarding each analyte in one chromatographic run, thereby allowing for a more detailed characterization of the metabolites. Furthermore, it is highly sensitive and selective to detect trace metabolites even in a complex matrix. In the study, Data-dependent LC-MSn was utilized to identify trace metabolites of PCN G in human serum. From the results, in addition to the known metabolites, such as penicilloate and penilloate, the trace unknown metabolites of PCN G metabolites were successfully identified. The structures were determined as the proposed unknown metabolites have been further confirmed by using MassWorks.
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