On-line web based application for phenolic analysis

by | Feb 20, 2018 | South Africa Wine Scan

The main objective of this project is to establish a web based application where efficient management of phenolic data, generated through spectral information, can be achieved.

It is common practice today to generate a large amount of data from chemical and physical analyses throughout the winemaking process. The value of this generated data is often not fully exploited and it is therefore not optimally used in winemaking decisions. Handling large and complex datasets is in most cases not possible due to time availability, absence of dedicated personnel, or limited knowledge on data processing. This project will create a user friendly web application that will be used as a tool to obtain phenolic data in real time. This will be achieved through prediction calibrations using UV-Visible spectral data developed at the DVO in previous Winetech funded projects. This web based application will comprise of a phenolic estimation tool in combination with a large database of phenolic data.

New spectral data generated (in-house or by a commercial lab) can be uploaded by winemakers during the different stages of the winemaking process. Spectral data can be obtained from grapes, during the fermentation, as well as from finished wines during the ageing process. Through the validated calibrations it will then be possible to obtain information on the total phenolic content, total anthocyanin and tannin levels, polymeric pigments, as well as on the colour density of grapes and wine samples.

This database will also store information that can be further searched, retrieved and organised. It will allow for early observation of possible patterns or deviations in the data. It will thus serve as a platform to process generated phenolic information, which include plotting the phenolic evolution during fermentation and/or ageing, as well as allowing comparison with previous years or batches, or with average values as provided by the data base.

Researcher: Dr. Jose Luis Aleixandre Tudo

Image: Shutterstock

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