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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DescriptionBiomimetic Sniffing Improves the Detection Performance of a 3D Printed Nose of a Dog and a Commercial Trace Vapor Detector.pdf |
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. |
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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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current | 19:59, 27 December 2022 | 1,239 × 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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Publisher | Nature Publishing Group |
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Author | Matthew E. Staymates |
Date and time of digitizing | 15:46, 17 November 2016 |
Date metadata was last modified | 03:44, 26 February 2017 |
File change date and time | 03:44, 26 February 2017 |
Identifier | doi:10.1038/srep36876 |
Copyright status | Copyrighted |
Software used | [[w:|]] |
Conversion program | Acrobat Distiller 11.0.9(Windows) |
Encrypted | no |
Page size | 595.276 x 782.362 pts |
Version of PDF format | 1.4 |
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1 December 2016
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