During the production of fermented products such as kefir, Parmesan, or mountain cheese, as well as in the production of protein powders, bitter-tasting peptides can form, which impair the taste and thus the acceptability of the products. A research team led by the Leibniz Institute for Food Systems Biology at the Technical University of Munich has now developed and successfully tested an AI-based method that can predict the bitterness of peptides. It also makes it possible to design new, bitter-tasting peptides from scratch. This is another important step forward in taste and food research.
AI model predicts peptide bitterness and enables novel flavor design
Original Source
This article was collected from: Phys.org
Gabeshana News automatically collects article information
from external RSS/Atom sources. The original article remains
available at the source website. Please visit the original
source for the complete article and the latest information.