Chemical/Instrumental Approaches to the Evaluation of Wine Chemistry

Chemical/Instrumental Approaches to the Evaluation of Wine Chemistry
Author :
Publisher : MDPI
Total Pages : 148
Release :
ISBN-10 : 9783039287345
ISBN-13 : 3039287346
Rating : 4/5 (45 Downloads)

Book Synopsis Chemical/Instrumental Approaches to the Evaluation of Wine Chemistry by : Rosa Perestrelo

Download or read book Chemical/Instrumental Approaches to the Evaluation of Wine Chemistry written by Rosa Perestrelo and published by MDPI. This book was released on 2020-05-27 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wine is a widely consumed beverage due to its unique and pleasant sensory properties. Wine is composed of more than one thousand chemical compounds (e.g., alcohols, esters, acids, terpenoids, phenolic compounds, flavonoids, anthocyanins, minerals, and vitamins, among others) resulting from several chemical and biochemical processes. Microextraction techniques in tandem with high-resolution analytical instruments have been applied by wine researchers to expand the knowledge of wine’s chemical composition with the purposes of improving wine quality, supporting winemaker decisions related to the winemaking process, and guaranteeing the authenticity of wine. As a result, we proposed “Chemical/Instrumental Approaches to the Evaluation of Wine Chemistry” as a topic for a Special Issue in Molecules. This Special Issue aims to provide an update on state-of-the-art extraction procedures (e.g., solid-phase microextraction (SPME)) and analytical tools (e.g., nuclear magnetic resonance (NMR), inductively coupled plasma mass spectrometry (ICP-MS), ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS)), emphasizing their use as suitable platforms for the establishment of the chemical composition of wine (volatomic profile, antioxidants, phenolic pattern, and elemental composition, among others). Information related to wine sensorial properties, contaminants, authenticity, and chemometric tools used for data treatment are described in this Issue.


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