Use of Large Retention Index Database for Filtering of GC–MS False Positive Identifications of Compounds

The use of the large retention index database for identification and filtering of false positive hits in GC–MS analysis of the ylang-ylang essential oil is illustrated. Differences between experimental retention indices and database values of retention indices of candidate compounds provide additional constraints on the list of candidates for a target compound. Over 100 components of ylang-ylang essential oil (total grade) were identified. The main components, with concentrations more than 4?%, are β-caryophyllene, germacrene D, benzyl benzoate, linalool, geranyl acetate, α-(E,E)-farnesene and isobornyl acetate.     

Use of Large Retention Index Database for Filtering of GC–MS False Positive Identifications of Compounds

The use of the large retention index database for identification and filtering of false positive hits in GC–MS analysis of the ylang-ylang essential oil is illustrated. Differences between experimental retention indices and database values of retention indices of candidate compounds provide additional constraints on the list of candidates for a target compound. Over 100 components of ylang-ylang essential oil (total grade) were identified. The main components, with concentrations more than 4 %, are β-caryophyllene, germacrene D, benzyl benzoate, linalool, geranyl acetate, α-(E,E)-farnesene and isobornyl acetate.