About us
BettaSensing is developing a sensing technology for use in R&D and quality control, relying on a hardware/software combination that can identify food and beverage items based on their chemical and flavor profile
BettaSensing
Flavor recognition technology for food and beverages
The Team
Dr. Pernille Ollendorff Hede: CEO
Expertise: business development, operations, finances
Dr. Noga Gal: CTO and Founder
Scientific Expertise: Sensing, colloidal science, microfluidics, material science, chemistry
Board of Director
Dr. Jan Mousing: Chair of the management board.
Expertise: Business development. Bioresources. Food. Food safety. Biotechnology.
Assoc. Prof. Brigitte Städler: Board member, advisor and co-founder
Scientific Expertise: Chemistry and Nanotechnology
Dr. Peter Dybdahl Ollendorff Hede: Board member
Expertise: Business development. incorporation, equity investments
Activities
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EIT Food SeedBed incubator participant 05-11/2020
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Finalist in the Emerging Technologies competition 2020 in Food & Drink category 08/2020
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Top 5 in the product Category of the Venture Cup competition 09/2020
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1 year partnership and mentoring program with Dell for entrepreneurs 10/2020-09/2021
What we do
Some info
Our sensor grids are based on a library of patented, environmentally sensitive polymer variants, that change color in response to stimuli, in which its responsiveness can be adapted for different needs. The sensitivity of the polymer can vary from highly specific entities that react with selected molecules in the test solution (e.g. beverages) to chemical groups that only allow for weak non-specific interactions.
Some info
In contrast to the current sensing paradigm, the color change of each individual sensor in our array does not have any discriminative power, but the combined response of the entire grid can be analyzed using ML methods in order to obtain food/beverage specific profile (fingerprint). As a result, complex mixtures can be separated based on their variations in their flavor profile. The platform itself can either be a paper-based dipstick with an array of spotted sensors or as a well plate filled with nano-particulate sensors made from the responsive polymers.
