Profiling of passion fruit volatiles: An effective tool to discriminate between species and varieties

摘要: Abstract The aim of this work was to gain insights on the volatile composition nine passion fruits grown at Madeira Island (Portugal) – Yellow, Purple, Lemon, Orange, Pineapple, Peach, Melon, Banana and Tomato discriminate between them. these has been investigated using same analytical technique, HS–SPME/GC–MS multivariate analysis (MVA). selected SPME methodology (DVB/CAR/PDMS fiber 40 ± 1 °C for 30 min 10% (w/w) NaCl under stirring mode (47 × g)) applied in profiling different fruit samples by GC–MS, allowing identification up 169 compounds belonging chemical groups, namely linear branched esters, terpenes, alcohols others. Esters were found be dominant metabolites regardless sample, with hexyl hexanoate (ranging from 6 31%), methyl (14–75%) ethyl (12–53%) butanoate (11–26%) being principal found, followed cis-β-ocimene (from 8 55%), (E)-2-hexenal (4 samples) eucalyptol (18% fruit). results revealed that differences profile among studied essentially qualitative, only 7 common volatiles all samples, abundance. Advanced statistical techniques (PCA PLS-DA) used explore data. Characteristic markers successively identified NIST library, thus showing able differentiate species varieties. Profiling can provide an effective tool characterize product extract useful information concerning its quality or geographic origin.