Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/347260
Type: Artigo
Title: Multivariate optimization of volatile compounds extraction in chardonnay wine by headspace-solid phase micro extraction and gas chromatography coupled with tandem mass spectrometry
Author: Sartor, Sabrina de Bona
Sganzerla, Marla
Teixeira Filho, José
Godoy, Helena Teixeira
Abstract: A method for optimization of extraction of volatile compounds in Chardonnay wine was developed using headspace-solid phase microextraction (HS-SPME) and gas chromatography coupled with triple quadrupole tandem mass spectrometry (GC-MS/MS). Optimization of the HS-SPME conditions, temperature (T, °C) and extra-ction time (t, minutes), was carried out using a 22 factorial central composite rota- tional design (CCRD). Total area of chromatographic peaks of nineteen compounds was monitored in order to identify the best response and the data was collected on multiple reaction monitoring (MRM) mode. The mathematical model that describes the response surface for the CCRD was validated using the analysis of variance (ANO VA) with 95% of confidence level. This model showed a lack of fit based on mean square pure error ratios for each response, in which Fcalculated was 2.23 higher than Ftabulated. Even though the models cannot be rigorously used to make quantitative predictions, the coefficients of the model, especially the linear ones, are useful for understanding systematic behaviour of the response values as a function of the factor levels. Multivariate statistical design can be used in optimization of HS-SPME extraction parameters with reduced number of experiments and can be useful in sampling method of volatile compounds of Chardonnay wines analysis by CG-MS/MS. The optimal condition achieved in this method was 30°C and 45 minutes of extraction.
Subject: Compostos orgânicos voláteis
Vinho
Country: Estados Unidos
Editor: Scientific Research Publishing
Rights: Aberto
Identifier DOI: 10.4236/ajac.2016.710064
Address: https://www.scirp.org/journal/paperinformation.aspx?paperid=71467
Date Issue: 2016
Appears in Collections:FEAGRI - Artigos e Outros Documentos
FEA - Artigos e Outros Documentos

Files in This Item:
File Description SizeFormat 
104236ajac2016710064.pdf1.69 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.