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Rapid Commun Mass Spectrom ; 38(13): e9748, 2024 Jul 15.
Artigo em Inglês | MEDLINE | ID: mdl-38644558

RESUMO

RATIONALE: Natural monomer flavors can modify the taste of cigarettes. However, no report was published to establish the quality control method for their chemical compositions. METHODS: In this study, licorice, a traditional natural monomer flavor used in tobacco aroma processing, was selected, and the fingerprint was developed by high-performance liquid chromatography (HPLC). Next, the chemical markers of samples from different places of origin were discovered by multivariate statistical analysis. Then, its chemical constituents were identified by combination of HPLC-Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS), direct infusion FT-ICR-MS (DI-FT-ICR-MS), and the technology of isotopic fine structures (IFSs). Moreover, its characteristic constituents were quantitatively analyzed using HPLC. RESULTS: The 14 common peaks were assigned in the fingerprint, and 8 of them were considered as qualitative markers by multivariate statistical analysis. A total of 42 chemical constituents were detected using HPLC-FT-ICR-MS, and 13 of them were unambiguously identified by references. Meanwhile, the elemental compositions of other eight unknown chemical components were decisively determined using IFSs. Subsequently, the contents of five characteristic constituents in 11 batches of samples were determined. CONCLUSIONS: The integration strategy established here can discover and quantify the chemical markers for improving the quality control standard of natural monomer flavor of licorice. It is expected that the strategy will be valuable for further quality control of other natural monomer flavors in Chinese tobacco industry.


Assuntos
Aromatizantes , Glycyrrhiza , Espectrometria de Massas , Espectrometria de Massas/métodos , Aromatizantes/química , Aromatizantes/análise , Cromatografia Líquida de Alta Pressão/métodos , Glycyrrhiza/química , Indústria do Tabaco , Nicotiana/química , Análise de Fourier , Controle de Qualidade , China , População do Leste Asiático
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