4.7 Article

Headspace solid-phase microextraction-gas chromatography-quadrupole mass spectrometric methodology for the establishment of the volatile composition of Passiflora fruit species

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MICROCHEMICAL JOURNAL
卷 93, 期 1, 页码 1-11

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ELSEVIER SCIENCE BV
DOI: 10.1016/j.microc.2009.03.010

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Passion fruit; Volatile compounds; Solid-phase microextraction; GC-qMS

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Dynamic headspace solid-phase microextraction (HS-SPME) followed by thermal desorption gas chromatography-quadrupole mass spectrometry analysis (GC-qMS), was used to investigate the aroma profile of different species of passion fruit samples. The performance of five commercially available SPME fibres: 65 pm polydimethylsiloxane/divinyl benzene, PDMS/DVB; 100 mu m polydimethylsiloxane. PDMS; 85 mu m polyacrylate, PA; 50/30 mu m divinylbenzene/carboxen on polydimethylsiloxane, DVB/CAR/PDMS (StableFlex); and 75 mu m carboxen/polydimethylsiloxane, CAR/PDMS; was evaluated and compared. Several extraction times and temperature conditions were also tested to achieve optimum recovery. The SPME fibre coated with 65 pm PDMS/DVB afforded the highest extraction efficiency. when the samples were extracted at 50 degrees C for 40 min with a constant stirring velocity of 750 rpm, after saturating the sample with NaCl (17%, w/v - 0.2 g). A comparison among different passion fruit species has been established in terms of qualitative and semi-quantitative differences in volatile composition. By using the optimal extraction conditions and GC-qMS it was possible to tentatively identify seventy one different compounds in Passiflora species: 51 volatiles in Passiflora edulis Sims (purple passion fruit), 24 in P. edulis Sims f. flavicarpa (yellow passion fruit) and 21 compounds in Passiflora mollissima (banana passion fruit). It was found that the ethyl esters comprise the largest class of the passion fruit volatiles, including 82.8% in P. edulis variety, 77.4% in P edulis Sims f. flavicarpa variety and 39.9% in P. mollissima. The semi-quantitative results were then submitted to principal component analysis (PCA) in order to establish relationships between the compounds and the different passion fruit species under investigation. (C) 2009 Elsevier B.V. All rights reserved.

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