Unravelling the complexities of wine : a big data approach to yeast assimilable nitrogen using InfraRed spectroscopy and chemometrics
Date
2019-04-26
Journal Title
Journal ISSN
Volume Title
Publisher
International Viticulture and Enology Society
Abstract
Aim: Assimilable Nitrogen (YAN) has been identified as one of the main drivers of wine quality, influencing the
production of various aromas and ensuring a successful fermentation to dryness. Due to the number of factors
affecting YAN concentration and composition, paired with the complexities of yeast metabolism, more data is
required to enable a comprehensive understanding of this important component of the grape juice matrix. The use of
high throughput and information-rich techniques such as InfraRed spectroscopy can lead to a fast generation of a
large amount of data. In addition, there is a possibility to maximise the information output of the generated data
when combined with various descriptive and exploratory statistical techniques.
Conclusion: Given the recent developments in the fields of analytical equipment and chemometrics, the review
explores the possibility of a Big Data approach for the research of one of the most important and versatile grape
juice parameters, namely YAN.
Description
CITATION: Petrovic, G., Aleixandre-Tudo, J.-L. & Buica, A. 2019. Unravelling the complexities of wine : a big data approach to yeast assimilable nitrogen using InfraRed spectroscopy and chemometrics. OENO One, 53(2):107-127, doi:10.20870/oeno-one.2019.53.2.2371.
The original publication is available at https://oeno-one.eu
The original publication is available at https://oeno-one.eu
Keywords
Wine -- Quality, Wine and wine making – Chemistry, Wine – Aroma and flavour, Wine – Carbon and nitrogen utilisation, Wine -- Characterization of Saccharomyces yeasts, Big data, Yeast assimilable nitrogen (YAN)
Citation
Petrovic, G., Aleixandre-Tudo, J.-L. & Buica, A. 2019. Unravelling the complexities of wine : a big data approach to yeast assimilable nitrogen using InfraRed spectroscopy and chemometrics. OENO One, 53(2):107-127, doi:10.20870/oeno-one.2019.53.2.2371.