Determination of ageing time of spirits in oak barrels using a headspace–mass spectrometry (HS-MS) electronic nose system and multivariate calibration
- 26 January 2005
- journal article
- research article
- Published by Springer Nature in Analytical and Bioanalytical Chemistry
- Vol. 382 (2) , 440-443
Abstract
The aromatic composition of sugar cane spirits and, in general, of alcoholic beverages, is mainly influenced by the ageing process in wood barrels. There are several factors that affect the quality of the final aged product, but the time of the storage in the barrel is perhaps the most important one. Ageing time must therefore be controlled in order to detect counterfeits; however, this parameter is very difficult to control and, at present, there is no analytical method available to determine it. We propose a quantitative method for determining the ageing time of sugar cane spirits in oak barrels by using an electronic nose based on coupling directly a headspace sampler to a mass spectrometer (HS-MS), and multivariate calibration. The method developed is simple and provides, in 5 min, the ageing time of spirits with an accuracy of about 1 month.Keywords
This publication has 9 references indexed in Scilit:
- An electronic nose and a mass spectrometry-based electronic nose for assessing apple quality during shelf lifePostharvest Biology and Technology, 2004
- Fast screening method for determining 2,4,6-trichloroanisole in wines using a headspace?mass spectrometry (HS?MS) system and multivariate calibrationAnalytical and Bioanalytical Chemistry, 2003
- Shelf-Life Prediction of Processed Milk by Solid-Phase Microextraction, Mass Spectrometry, and Multivariate AnalysisJournal of Agricultural and Food Chemistry, 2000
- Product Review: E-noses keep an eye on the futureAnalytical Chemistry, 2000
- Electronic noses - A mini-reviewAnalytical and Bioanalytical Chemistry, 1999
- Current trends in `artificial-nose' technologyTrends in Biotechnology, 1998
- Nonlinear PLS modelingChemometrics and Intelligent Laboratory Systems, 1989
- Selection of optimal regression models via cross‐validationJournal of Chemometrics, 1988
- Study of Accuracy in Chemical Analysis Using Linear Calibration CurvesAnalytical Chemistry, 1957