{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T17:51:49Z","timestamp":1764784309244,"version":"build-2065373602"},"reference-count":19,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2019,9,17]],"date-time":"2019-09-17T00:00:00Z","timestamp":1568678400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"JSPS KAKENHI","award":["JP18H03773"],"award-info":[{"award-number":["JP18H03773"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>An artificial olfactory system coupled with an odor generation system is herein reported. The artificial olfactory system is composed of four chemical sensors consisting of quartz crystal microbalances (QCMs) coated with room temperature ionic liquids (RTILs). The sensors are interrogated by four vector network analyzers, which are used to measure the series resonant frequency and motional resistance. The odor generation system can generate eight different odors and mix them in any composition. Solenoid valves are used to switch the path and control the concentration of the different odors before blending. Two algorithms to control the solenoid valves, delta-sigma modulator, and simple pulse width modulation (PWM) are studied, optimized, and compared. Finally, the uncertainty of the odor generating system is calculated.<\/jats:p>","DOI":"10.3390\/s19184009","type":"journal-article","created":{"date-parts":[[2019,9,23]],"date-time":"2019-09-23T04:50:21Z","timestamp":1569214221000},"page":"4009","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Optimization of Modulation Methods for Solenoid Valves to Realize an Odor Generation System"],"prefix":"10.3390","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0620-2757","authenticated-orcid":false,"given":"Manuel","family":"Aleixandre","sequence":"first","affiliation":[{"name":"Institute of Innovative Research, Tokyo Institute of Technology, Yokohama 226-8503, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaoru","family":"Nakazawa","sequence":"additional","affiliation":[{"name":"Institute of Innovative Research, Tokyo Institute of Technology, Yokohama 226-8503, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Takamichi","family":"Nakamoto","sequence":"additional","affiliation":[{"name":"Institute of Innovative Research, Tokyo Institute of Technology, Yokohama 226-8503, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,9,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"33","DOI":"10.3389\/fpsyg.2014.00033","article-title":"Time to smell: A cascade model of human olfactory perception based on response-time (RT) measurement","volume":"5","author":"Olofsson","year":"2014","journal-title":"Front. 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