Using ML to mimic meat and dairy flavours with plant-based fermentation

  • Jeroen Buil (Speaker)

Activity: Talk/presentation/lectureKeynote talkProfessional

Description

One of the main reasons for the low growth rate of plant-based meat and dairy alternatives is the difference in sensory properties compared to their meat and dairy counterparts. The ALL-INFORMED project aims to revolutionise the process development of meat and dairy alternatives by using smart technologies and digital innovation. We aim to expand the application of traditional processes by predicting the right process for obtaining plant-based products with an improved sensory experience. However, the amount of data provided by analytical tools of Near Infrared (NIR) and High-Resolution Mass Spectrometry (HRMS) exceeds the human ability for interpretation. Artificial Intelligence (AI) can be used to combine and interpret this vast amount of information obtained from combinatorial fermentations (1000s of micro-organisms and 10s of substrates) and find and predict combinations where the aroma molecules for dairy and meaty products are formed while reducing unwanted off-notes.
Period26 Mar 2024
Event titleApplied Machine Learning Days EPFL 2024
Event typeConference/symposium
Conference number2024
LocationLausanne, SwitzerlandShow on map
Degree of RecognitionInternational