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TĀSTATION® (TASTE + STATION) SYSTEM

Details of TāStation Technology

 

Our TāStation® (Taste+Station) technology is the first automated high throughput system for rapid characterization of taste sensory properties. The TāStation® system dramatically reduces the reliance on traditional taste panel testing and the associated expenditure of resources in time and costs. TāStation® technology enables our customers to make informed decisions, which can lead to accelerated timelines.

The TāStation® system includes a portable work station with an automated system for delivering small samples in rapid succession to a subject. An individual is trained through an interactive algorithm, which operates like a game, to make responses on a touch sensitive monitor that are dependent on his ability to detect and distinguish taste stimuli. Responses are rewarded with an incremental point system that incentivizes sensory acuity. The subjects are focused on the game and may not even be aware that their taste sensitivities and preferences are being recorded.

 

TāStation Technology: The First and Only Fully Automated System For Quantitative Measurement of Human Taste.
 
Subject responds on the TāStation® touch-sensitive monitor for a blue chip reward.
TĀSTATION® DATABASE

More data means greater informative power. The comparatively large data sets that are rapidly generated by the TāStation® system are amenable to sophisticated computational and analytic tools not practical for the limited information from traditional taste assessment. Among the many advantages that result are vastly reduced errors, greater precision in detecting taste effects, improved consistency and predictive value of test outcomes, and the ability to more quickly and broadly test across a diversity of human subjects.

 

 

 

 

This project is supported by the Ben Franklin Technology Partners of Southeastern PA, an initiative of the Pennsylvania Department of Community and Economic Development funded by the Ben Franklin Technology Development Authority.

 

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