Literature DB >> 28738652

Volatile composition of Merlot red wine and its contribution to the aroma: optimization and validation of analytical method.

Stefany Grützmann Arcari1, Vinicius Caliari2, Marla Sganzerla3, Helena Teixeira Godoy4.   

Abstract

A methodology for the determination of volatile compounds in red wine using headspace solid phase microextraction (HS-SPME) combined with gas chromatography-ion trap/ mass spectrometry (GC-IT/MS) and flame ionization detector (GC -FID) was developed, validated and applied to a sample of Brazilian red wine. The optimization strategy was conducted using the Plackett-Burman design for variable selection and central composite rotational design (CCRD). The response surface methodology showed that the performance of the extraction of the volatile compounds using divinylbenzene/carboxen/polydimethylsiloxane (DVB/CAR/PDMS) fiber is improved with no sample dilution, the addition of 30% NaCl, applying an extraction temperature of 56°C and extraction time of 55min. The qualitative method allowed the extraction and identification of 60 volatile compounds in the sample studied, notably the classes of esters, alcohols, and fatty acids. Furthermore, the method was successfully validated for the quantification of 55 volatile compounds of importance in wines and applied to twelve samples of Merlot red wine from South of Brazil. The calculation of the odor activity value (OAV) showed the most important components of the samples aroma. Ethyl isovalerate, ethyl hexanoate, 1-hexanol, octanoic acid and ethyl cinnamate had the greatest contribution to the aroma of the wines analyzed, which is predominantly fruity with the presence of herbal and fatty odors.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  GC-FID; GC-IT/MS; HS-SPME; Multivariate optimization; Red wine; Volatile compounds

Mesh:

Substances:

Year:  2017        PMID: 28738652     DOI: 10.1016/j.talanta.2017.06.074

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  10 in total

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  10 in total

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