作者: Mehdi Jalali-Heravi , Hadi Parastar , Hassan Sereshti
DOI: 10.1016/J.ACA.2008.05.078
关键词: Gas chromatography–mass spectrometry 、 Resolution (mass spectrometry) 、 Chemistry 、 Chromatography 、 Mass spectrometry 、 Multivariate statistics 、 Rose oil 、 Essential oil 、 Mass spectrum
摘要: Gas chromatography-mass spectrometry (GC-MS) combined with Chemometric resolution techniques were proposed as a method for the analysis of volatile components Iranian damask rose oil. The essential oil was extracted using hydrodistillation and analyzed GC-MS in optimized conditions. A total 70 identified similarity searches between mass spectra MS database. This number extended to 95 concentrations higher than 0.01% accounting 94.75% relative content techniques. For first time this work, an approach based upon subspace comparison is used determination chemical rank data. peak clusters resolved heuristic evolving latent projection (HELP) multivariate curve resolution-alternating least square (MCR-ALS) by applying proper constraints, combination both methods some cases. It concluded that thorough complex mixtures such requires sophisticated coupled