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 beta-caryophyllene, germacrene D, benzyl benzoate, linalool, geranyl acetate, alpha-(E,E)-farnesene and isobornyl acetate.