Author
WANG, YIFEI - Ohio University | |
Chen, Pei |
Submitted to: Journal of Analysis and Testing
Publication Type: Peer Reviewed Journal Publication Acceptance Date: 7/4/2018 Publication Date: 7/25/2018 Citation: Wang, Y., Chen, P. 2018. Comparison of ion mobility fuzzy chromatography mass spectrometric (iFCMS) fingerprinting and FCMS fingerprinting for differentiation of American cranberry cultivars. Journal of Analysis and Testing. 2(4):7388-7397. Interpretive Summary: Fuzzy chromatography mass spectrometric (FCMS) fingerprinting methods in combination with multivariate statistical analysis (principal component analysis, PCA) were developed for phenolic profiling and differentiation of American cranberry cultivars. Two FCMS fingerprinting methods, ion mobility fuzzy chromatography mass spectrometric (iFCMS) and conventional FCMS, are compared in the study. PCA successfully differentiated the cultivars with both methods. The six cultivars used formed three distinct groups in the PCA score plots, and each group contained one wild selection cultivar and its genetically related hybrid. Compared with FCMS fingerprinting, iFCMS fingerprinting provided better intra-cultivar sample clustering and inter-cultivar sample separation. Ultra-Performance Liquid Chromatography-High Resolution Mass Spectrometry (UPLC-HRMS) analysis was conducted on selected samples to profile the phenolic difference between the cultivars. Compound identification using UPLC-HRMS revealed that flavonoid compounds, including flavonol glycosides, proanthocyanidins and anthocyanins, are major components that contribute to the phenolic profile variation among cultivars. Technical Abstract: Fuzzy chromatography mass spectrometric (FCMS) fingerprinting methods in combination with principal component analysis (PCA) were developed for phenolic profiling and differentiation of American cranberry cultivars. Two FCMS fingerprinting methods, ion mobility fuzzy chromatography mass spectrometric (iFCMS) and conventional FCMS, are compared in the study. PCA successfully differentiated the cultivars with both methods. The six cultivars used formed three distinct groups in the PCA score plots, and each group contained one wild selection cultivar and its genetically related hybrid. Compared with FCMS fingerprinting, iFCMS fingerprinting provided better intra-cultivar sample clustering and inter-cultivar sample separation. Ultra-Performance Liquid Chromatography-High Resolution Mass Spectrometry (UPLC-HRMS) analysis was conducted on selected samples to profile the phenolic difference between the cultivars. Compound identification using UPLC-HRMS revealed that flavonoid compounds, including flavonol glycosides, proanthocyanidins and anthocyanins, are major components that contribute to the phenolic profile variation among cultivars. |