Abstract
Madeira wine vinification process has been mostly empiric and requiring further studies. The present paper describes the existing pilot plant facility in Madeira University, with the installed controlled systems and safety devices. An advanced multi-parameter platform for real time monitoring and interactive data visualization is described and its potential use demonstrated.
Highlights
Madeira wine is a well renowned fortified wine (17 – 22%), characterized essentially by its oxidized features acquired during its peculiar ageing
Since the 18th century, Madeira wine ageing can be accelerated through a thermal processing denominated as estufagem, which consists in heating the wine usually at about 45 °C for at least 3 months
The oxidative ageing continues during years, in wood casks, before being sold. This thermal processing has been studied in the latest years to understand the transformations that occur during this step, in order to obtain valuable scientific information for the continuous improvement of the Madeira wine quality [1]
Summary
Madeira wine is a well renowned fortified wine (17 – 22%), characterized essentially by its oxidized features acquired during its peculiar ageing. The oxidative ageing continues during years, in wood casks, before being sold This thermal processing has been studied in the latest years to understand the transformations that occur during this step, in order to obtain valuable scientific information for the continuous improvement of the Madeira wine quality [1]. The optical fiber sensing is the most adequate technology for this purpose, due to the possibility of on-line measurements. It presents advantages over the electrical systems due to its immunity to electromagnetic interference, low degradation, excellent resolution and range, passive operation, small size and flexibility. The present paper describes the facility installed for testing purposes, the off-line data obtained so far for the wine samples submitted to estufagem, the optical fiber platform and the interactive operation developed for the on-line data collection
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