Reliable characterization of coffee bean aroma profiles by automated headspace solid phase microextraction-gas chromatography-mass spectrometry with the support of a dual-filter mass spectra library.
This investigation is based on the automated solid phase microextraction GC-MS analysis of the volatile fraction of a variety of coffee bean matrices. Volatile analytes were extracted by headspace (HS)-SPME which was achieved with the support of automated instrumentation. The research was directed towards various important aspects relating to coffee aroma analysis: monitoring of the volatile fraction formation during roasting; chromatographic differentiation of the two main coffee species (Arabica and Robusta) and of a single species from different geographical origins; evaluation of the influence of specific industrial treatments prior to roasting. Reliable peak assignment was carried out through the use of a recently laboratory-constructed "flavour and fragrance" library and a dual-filter MS spectral search procedure. Further emphasis was placed on the automated SPME instrumentation and on its ability to supply highly repeatable chromatographic data.
Mondello
Luigi
L
Dipartimento Farmaco-chimico, Università degli Studi di Messina, Viale Annunziata, 98168 Messina, Italy.
Costa
Rosaria
R
Tranchida
Peter Quinto
PQ
Dugo
Paola
P
Lo Presti
Maria
M
Festa
Saverio
S
Fazio
Alessia
A
Dugo
Giovanni
G
D003069:Coffee / Q000737:chemistry* / Q000145:classification; D008401:Gas Chromatography-Mass Spectrometry / Q000379:methods*; D009812:Odorants / Q000032:analysis*; D015203:Reproducibility of Results; D013045:Species Specificity
D003069:Coffee