Quantification of prominent volatile compounds responsible for muskmelon and watermelon aroma by purge and trap extraction followed by gas chromatography–mass spectrometry determination
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Altres documents de l'autoria: Sales Martínez, Carlos; Fredes Sivoplás, Alejandro David; Barreda, Mercedes; Valcárcel, Mercedes; Roselló, Salvador; Beltran Arandes, Joaquin
Metadades
Mostra el registre complet de l'elementcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/33596
comunitat-uji-handle3:10234/33597
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INVESTIGACIONMetadades
Títol
Quantification of prominent volatile compounds responsible for muskmelon and watermelon aroma by purge and trap extraction followed by gas chromatography–mass spectrometry determinationAutoria
Data de publicació
2016-01Editor
WileyISSN
1076-5174; 1096-9888Cita bibliogràfica
FREDES, Alejandro, et al. Quantification of prominent volatile compounds responsible for muskmelon and watermelon aroma by purge and trap extraction followed by gas chromatography–mass spectrometry determination. Food chemistry, 2016, vol. 190, p. 689-700Tipus de document
info:eu-repo/semantics/articleVersió de l'editorial
http://www.sciencedirect.com/science/article/pii/S0308814615008894Versió
info:eu-repo/semantics/submittedVersionParaules clau / Matèries
Resum
A dynamic headspace purge-and-trap (DHS-P&T) methodology for the determination and quantification of 61 volatile compounds responsible for muskmelon and watermelon aroma has been developed and validated. The methodology ... [+]
A dynamic headspace purge-and-trap (DHS-P&T) methodology for the determination and quantification of 61 volatile compounds responsible for muskmelon and watermelon aroma has been developed and validated. The methodology is based on the application of purge-and-trap extraction followed by gas chromatography coupled to (ion trap) mass spectrometry detection. For this purpose two different P&T sorbent cartridges have been evaluated. The influence of different extraction factors (sample weight, extraction time, and purge flow) on extraction efficiency has been studied and optimised using response surface methodology. Precision, expressed as repeatability, has been evaluated by analysing six replicates of real samples, showing relative standard deviations between 3% and 27%. Linearity has been studied in the range of 10–6130 ng mL−1 depending on the compound response, showing coefficients of correlation between 0.995 and 0.999. Detection limits ranged between 0.1 and 274 ng g−1. The methodology developed is well suited for analysis of large numbers of muskmelon and watermelon samples in plant breeding programs. [-]
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