Neural networks and ft-ir spectroscopy for the discrimination of single varietal and blended wines. A preliminary study.

By definition, Regenerative Agricultural Systems seek to promote soil and plant health by using photosynthesis for the removal and retention of atmospheric carbon dioxide into stable soil carbon.

AIM: The use of non-Saccharomyces (NS) yeasts in multi-starter fermentations with S. cerevisiae is a trend in the wine industry, but the number of strains commercially available in a powder formulation, such as active dry yeasts (ADY), is still limited.

Grape by-products (including skins, seeds, stems and vine shoots) are rich in health promoting polyphenols. Their extraction from winery waste and their following purification are of special interest to produce extracts with high added value compounds. Meanwhile, the growing concern over environmental problems associated with economic constraints, require the development of environmentally sustainable extraction technologies. The extraction using semi-continuous subcritical water, as a natural solvent at high temperature and high pressure a technology is promising “green” technology that is environmentally friendly, energy efficient and improve the extraction process in plant tissues.

Wine authenticity and composition can be influenced by a range of membrane separation processes as reverse osmosis. In the context of climate change, the natural trend is to obtain wines with higher alcoholic concentration when classical winemaking methods are employed, and this may induce alteration of typicity of wines by masking the olfactory and taste properties. This study aimed to evaluate the influence of reverse osmosis techniques used for decrease of ethanol content on the stable isotopic ratios as markers for wine authenticity characteristics.

Context and purpose of the study. Nitrogen (N) limitation enhances the production of phenolic compounds in grapes due to the downregulation of the flavonoid biosynthesis pathway.