Literature DB >> 20103156

A robust method for quantification of volatile compounds within and between vintages using headspace-solid-phase micro-extraction coupled with GC-MS--application on Semillon wines.

Laure Rebière1, Andrew C Clark, Leigh M Schmidtke, Paul D Prenzler, Geoffrey R Scollary.   

Abstract

A headspace-solid-phase micro-extraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) method has been developed to quantify a range of volatile compounds in Hunter Valley Semillon wines. The fibre selected for the method was a 50/30 microm divinylbenzene/carboxen/polydimethylsiloxane fibre, a three-phase fibre that allows extraction and desorption of a wide range of volatile compounds of different chemical functionalities and polarities. Four internal standards, methyl isobutyl ketone, n-dodecane, 4-methyl-2-pentanol and ethyl nonanoate were used to monitor the SPME fibre extraction efficiency and integrity. Fibre integrity was monitored by plotting the ratio of the peak area for each internal standard divided by the sum of the peak area for all internal standards as a function of analysis number. The advantage of using four internal standards for better quality control of the fibre integrity is described. The identity of twenty-one volatile compounds was ascertained by comparison of their chemical characteristics (retention indices, mass spectra) with reference compounds using two columns of different polarities. Quantification was achieved using calibration curves constructed for each compound with linear regression equations having correlation coefficients (R(2)) ranging from 0.9717 to 0.9999. The method was applied to two Semillon wines (recent vintage and aged) representative of the Hunter Valley styles. As is typical of white wines, 3-methyl-1-butanol was quantified as the most concentrated volatile compound (83 and 66 mg L(-1) for the 2006 and the 1996 wines, respectively). The study highlights the use of well-defined procedures to ensure integrity of quantitative data where several fibres may be required during an extended study over one or more vintages. Crown Copyright 2009. Published by Elsevier B.V. All rights reserved.

Entities:  

Year:  2009        PMID: 20103156     DOI: 10.1016/j.aca.2009.10.029

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  5 in total

1.  Efficient production of ε-poly-L-lysine from cassava bagasse hydrolysate used as carbon source by Streptomyces albulus US3-18.

Authors:  Jiaolong Fu; Cong Li; Xin Ju; Jing Bai; Yunfeng Zhou; Yi Zhang; Yue Wang; Zilong Sun; Cuiying Hu; Liangzhi Li; Lilian Ji
Journal:  Bioprocess Biosyst Eng       Date:  2022-07-24       Impact factor: 3.434

2.  Effects of Six Commercial Saccharomyces cerevisiae Strains on Phenolic Attributes, Antioxidant Activity, and Aroma of Kiwifruit (Actinidia deliciosa cv.) Wine.

Authors:  Xingchen Li; Yage Xing; Lin Cao; Qinglian Xu; Shaohua Li; Ranran Wang; Zijing Jiang; Zhenming Che; Hongbin Lin
Journal:  Biomed Res Int       Date:  2017-01-30       Impact factor: 3.411

3.  Aureobasidium pullulans volatilome identified by a novel, quantitative approach employing SPME-GC-MS, suppressed Botrytis cinerea and Alternaria alternata in vitro.

Authors:  S M Yalage Don; L M Schmidtke; J M Gambetta; C C Steel
Journal:  Sci Rep       Date:  2020-03-11       Impact factor: 4.379

4.  Impact of Feeding Probiotics on Blood Parameters, Tail Fat Metabolites, and Volatile Flavor Components of Sunit Sheep.

Authors:  Ting Liu; Taiwu Zhang; Yanni Zhang; Le Yang; Yan Duan; Lin Su; Jianjun Tian; Lina Sun; Bohui Wang; Ye Jin
Journal:  Foods       Date:  2022-08-31

5.  SPME Method Optimized by Box-Behnken Design for Impact Odorants in Reduced Alcohol Wines.

Authors:  Bithika Saha; Rocco Longo; Peter Torley; Anthony Saliba; Leigh Schmidtke
Journal:  Foods       Date:  2018-08-10
  5 in total

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