Chemiresistive Sensor Array and Machine Learning Classification of Food

Chemiresistive Sensor Array and Machine Learning Classification of Food

Successful identification of complex odors by sensor arrays remains a challenging problem. Herein, we report robust, category-specific multiclass-time series classification using an array of 20 carbon nanotube-based chemical sensors. We differentiate between samples of cheese, liquor, and edible oil...

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Bibliographic Details
Main Authors: Schroeder, Vera (Author), Evans, Ethan Daniel (Author), Wu, You-Chi Mason (Author), Voll, Constantin-Chri Alexander (Author), McDonald, Benjamin Rebbeck (Author), Savagatrup, Suchol (Author), Swager, Timothy M (Author)
Other Authors: Massachusetts Institute of Technology. Department of Chemistry (Contributor), Massachusetts Institute of Technology. Institute for Soldier Nanotechnologies (Contributor), Massachusetts Institute of Technology. Department of Biological Engineering (Contributor)
Format: Article
Language:English
Published: American Chemical Society (ACS), 2020-10-21T22:13:43Z.
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