A Viticultural Terroir in Brazil: Change and continuity

The introduction of ai-driven tools in digital content creation represents a significant shift in the landscape of marketing, particularly for industries reliant on rich visual storytelling such as the wine sector. The development of ai models like openai’s sora, runway’s gen-2 or google’s lumiere, which can generate realistic video content from textual descriptions, offers promising new avenues for enhancing brand narrative and consumer engagement. This research explores the potential of text-to-video (t2v) ai models to revolutionize wine marketing by creating dynamic, engaging content that captures the essence of vineyards and their products without the need for traditional video production processes.

Pomace, stem, grapevine leaves, and vine shoots arise as so called winery by-products during the wine production process.

Moderate wine consumption – with the meals – represents one of the beneficial components of the traditional mediterranean diet (med diet) and a positive item in the med diet score [1,2, 3]. The med diet is considered one of the best diets in the world and the world health organisation (who) identified this eating pattern as an effective strategy to prevent non-communicable diseases (ncd), since it is associated with lower disease occurrence and all-cause mortality [4] . Numerous well-conducted epidemiological studies have also reported that light-to-moderate intake of wine/alcoholic beverages is not only related to a reduced risk of cardiovascular disease, but also to all-cause mortality.

The Matrix Assisted Laser Desorption/Ionization–Time-Of-Flight Mass Spectrometry (MALDI-TOF MS) technology is commonly used in food and medical sector to identify yeast or bacteria species isolated from a nutritive culture media. Since a decade, brewery and oenology industries have been attracted to this method which combines fast analysis times, reliability and low cost of analysis. Briefly, this method is based on the comparison of the MALDI-TOF/MS protein spectra of an isolated colony of yeast or bacteria with those contain in a manufacturer’s reference protein spectra database. Initiated in 2015, the creation of the first oenological mass spectra database has proved to be essential for increase quality of species identification.

The Columbia Basin, a semi-arid region centered in the eastern part of Washington State, is the second largest wine grape growing region in the United States and presently contains 10 American Viticultural Areas