Artificial Intelligence applied to leverage synergistic antioxidant mixtures.
Have you ever bitten into a nut or a piece of chocolate, expecting a smooth, rich taste, only to encounter an unexpected and unpleasant chalky or sour flavor? That taste is rancidity in action, and it affects pretty much every product in your pantry. Fortunately, both nature and the food industry have an excellent shield against rancidity – antioxidants.
Antioxidants include a broad range of natural molecules, like vitamin C, and synthetic molecules capable of protecting your food from oxidation. Finding out which antioxidant combinations work for which types of food requires many experiments, which are time-consuming, require specialized personnel, and increase the food’s overall cost.
That's where Migma comes into the play: we are harnessing the power of modern computers to understand the subtle interactions required to develop new synergistic antioxidants. Our patented algorithm offers the unique possibility to significantly speed up the discovery process and focus our experiments on specific mixtures.
We only need to migma.run_predictions() to find a solution for your company!
Get to know the peer-reviewed publications behind our solution.
This publication explores the use of AI to predict the synergy between various antioxidants.
Read MoreThe first demonstration of AI to predict the formation of Deep Eutectic Solvents.
Read MoreThis paper details how a novel approach can learn faster than ever before.
Read MoreThis article provides an analysis of the mixtures in the literature and the chemical variables behind those interactions.
Read MoreWe see ourselves as a cohesive group of people who love to collaborate and share ideas. Each of us bring something to the table and we are bound by the drive to blur boundaries between chemistry and advanced analytics.
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