File:Biomimetic Sniffing Improves the Detection Performance of a 3D Printed Nose of a Dog and a Commercial Trace Vapor Detector.pdf

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Original file(1,239 × 1,629 pixels, file size: 1.82 MB, MIME type: application/pdf, 10 pages)

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Biomimetic Sniffing Improves the Detection Performance of a 3D Printed Nose of a Dog and a Commercial Trace Vapor Detector

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English: Unlike current chemical trace detection technology, dogs actively sniff to acquire an odor sample. Flow visualization experiments with an anatomically-similar 3D printed dog’s nose revealed the external aerodynamics during canine sniffing, where ventral-laterally expired air jets entrain odorant-laden air toward the nose, thereby extending the “aerodynamic reach” for inspiration of otherwise inaccessible odors. Chemical sampling and detection experiments quantified two modes of operation with the artificial nose-active sniffing and continuous inspiration-and demonstrated an increase in odorant detection by a factor of up to 18 for active sniffing. A 16-fold improvement in detection was demonstrated with a commercially-available explosives detector by applying this bio-inspired design principle and making the device “sniff” like a dog. These lessons learned from the dog may benefit the next-generation of vapor samplers for explosives, narcotics, pathogens, or even cancer, and could inform future bio-inspired designs for optimized sampling of odor plumes.
Date
Source https://www.nature.com/articles/srep36876
Author Matthew E. Staymates, William A. MacCrehan, Jessica L. Staymates, Roderick R. Kunz, Thomas Mendum, Ta-Hsuan Ong, Geoffrey Geurtsen, Greg J. Gillen & Brent A. Craven

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current19:59, 27 December 2022Thumbnail for version as of 19:59, 27 December 20221,239 × 1,629, 10 pages (1.82 MB)Koavf (talk | contribs)Uploaded a work by Matthew E. Staymates, William A. MacCrehan, Jessica L. Staymates, Roderick R. Kunz, Thomas Mendum, Ta-Hsuan Ong, Geoffrey Geurtsen, Greg J. Gillen & Brent A. Craven from https://www.nature.com/articles/srep36876 with UploadWizard

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