José Pedro Santos, Carlos Sáchez Vicente, I. Sayago, Jesús Lozano, P. Arroyo
{"title":"Versatile electronic nose for the detection of chronic disease biomarkers through the breath","authors":"José Pedro Santos, Carlos Sáchez Vicente, I. Sayago, Jesús Lozano, P. Arroyo","doi":"10.1109/ISOEN54820.2022.9789632","DOIUrl":"https://doi.org/10.1109/ISOEN54820.2022.9789632","url":null,"abstract":"In this communication, we present a versatile, home-developed, and portable electronic nose used to discriminate biomarkers of different diseases through the breath. The electronic nose is equipped with embedded control, support 16 different micro-sensors (8 commercial sensors and 8 home-made sensors), instrumentation electronics, rechargeable batteries, pump and electrovalve to control the way of the sampling gas, touch screen and IEEE 802.11 transceiver for wireless communication. We have used samples corresponding with different levels of gravity of illnesses. Several measurements were made to check the performance of the prototype in the discrimination of different biomarkers of diseases.","PeriodicalId":427373,"journal":{"name":"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114747130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Félix Meléndez, P. Arroyo, Jaime Gómez-Suárez, José Pedro Santos, F. Yuste, Belén Godoy, Maximo Garcia, J. Suárez, Jesús Lozano
{"title":"Detection of TCA in cork stoppers using an electronic nose","authors":"Félix Meléndez, P. Arroyo, Jaime Gómez-Suárez, José Pedro Santos, F. Yuste, Belén Godoy, Maximo Garcia, J. Suárez, Jesús Lozano","doi":"10.1109/ISOEN54820.2022.9789615","DOIUrl":"https://doi.org/10.1109/ISOEN54820.2022.9789615","url":null,"abstract":"This paper proposes the use of a prototype electronic nose for the detection of 2,4,6-trichloroanisole in cork stoppers as an alternative to other detection methods used in the cork industry, such as gas chromatography. The results obtained in a preliminary test show that the device presented in this work is able to differentiate between contaminated and uncontaminated cork stoppers.","PeriodicalId":427373,"journal":{"name":"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123045182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tobias L. Karschuck, Stefan-Wolfgang Schmidt, Stefan Achtsnicht, A. Poghossian, Patrick H. Wagner, M. Schöning
{"title":"Development of an automatic 16-channel multiplexer platform for capacitive field-effect sensors","authors":"Tobias L. Karschuck, Stefan-Wolfgang Schmidt, Stefan Achtsnicht, A. Poghossian, Patrick H. Wagner, M. Schöning","doi":"10.1109/ISOEN54820.2022.9789602","DOIUrl":"https://doi.org/10.1109/ISOEN54820.2022.9789602","url":null,"abstract":"A multiplexer platform for the automatic electrochemical characterization of up to 16 individual capacitive electrolyte-insulator-semiconductor field-effect sensors is presented. CAD (computer aided design) models of the top and bottom part of the multi-cell are compared to their 3D-printed counterparts. The functionality of the 3D-printed multi-cell and written Python script is demonstrated by the quasi-simultaneous pH characterization of 8 different sensors by means of capacitance-voltage and constant-capacitance measurements.","PeriodicalId":427373,"journal":{"name":"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128085929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Stand-alone Multi-scent Olfactory Display with a Sliding Scent Switching Mechanism","authors":"Amber Wang, S. Hassan, J. Covington","doi":"10.1109/ISOEN54820.2022.9789631","DOIUrl":"https://doi.org/10.1109/ISOEN54820.2022.9789631","url":null,"abstract":"Here we report on the design, construction, and testing of a multi-scent olfactory display that is intended as promotional tool for smell-related events. Our system used off-the-shelf spray bottles for scent generation, with a control and actuation system constructed around it. The spray bottle is actuated using a solenoid valve, combined with a fan to help deliver the aroma to the user. Scent switching is achieved by sliding the spray bottles on a fixed rail. A step motor is then used to select scents accurately. The final unit can release up to four different scents and testing results show that the unit can be controlled for scent delivery at a range of firing rates.","PeriodicalId":427373,"journal":{"name":"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128762042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gina Zeh, Maximilian Koehne, Andreas Grasskamp, Helen Haug, Satnam Singh, T. Sauerwald
{"title":"Towards Artificial Intelligent Olfactory Systems","authors":"Gina Zeh, Maximilian Koehne, Andreas Grasskamp, Helen Haug, Satnam Singh, T. Sauerwald","doi":"10.1109/ISOEN54820.2022.9789600","DOIUrl":"https://doi.org/10.1109/ISOEN54820.2022.9789600","url":null,"abstract":"Mimicking the human sense of olfaction with technical systems is a challenging task that requires consideration and understanding of biological olfactory systems, high quality gas analysis, sensor technology and data science. We present an approach for such an artificial intelligent olfactory system, which is just as the olfactory system of humans divided in four units: a sampling unit, a gas chromatograph, the detector/sensor unit and an artificial intelligence as brain. Model-based approaches for characterizing tools and system compounds are used to optimize the sampling of odorants, to predict the chromatographical behavior of analytes and to find the ideal composition of system compounds for an application-specific sensor system. This is complemented with machine-learning software for discriminating and identifying single compounds in an odor mixture. Therefore, a comprehensive toolbox, consisting of different software tools as well as hardware tools is considered as the key to artificial intelligent olfactory systems. The integration of these four units brings together all information to make sense of what is measured. The four system compounds have been evaluated and optimized individually. The interplay between the components has been described and herein1 we demonstrate our roadmap towards a small, inexpensive system.","PeriodicalId":427373,"journal":{"name":"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127974961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Global calibration models match ad-hoc calibrations field performances in low cost particulate matter sensors","authors":"S. D. Vito, G. D’Elia, G. Francia","doi":"10.1109/ISOEN54820.2022.9789669","DOIUrl":"https://doi.org/10.1109/ISOEN54820.2022.9789669","url":null,"abstract":"Field calibration is recognized as the best performing approach for operational deployment of low cost air quality sensors. In this approach, each individual sensors node is co-located with reference analyzers to derive ad-hoc calibration algorithms parameters. This strongly limits scalability, and thus mass deployment of these devices for improved air quality phenomena knowledge and management. Global calibration, aiming to derive a single calibration function to be used for all multisensors in a batch, is a promising approach recently tackled in artificial olfaction field. In this work, this approach is firstly applied to low cost PM sensors. Results show comparable performances with conventional, ad-hoc (individual) approaches paving the way for a more scalable approach to calibration of AQ multisensors devices.","PeriodicalId":427373,"journal":{"name":"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"9 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115112830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A reconfigurable integrated electronic tongue and its use in accelerated analysis of juices and wines","authors":"Gianmarco Gabrieli, Michal Muszynski, P. Ruch","doi":"10.1109/ISOEN54820.2022.9789630","DOIUrl":"https://doi.org/10.1109/ISOEN54820.2022.9789630","url":null,"abstract":"Potentiometric electronic tongues (ETs) leveraging trends in miniaturization and internet of things (IoT) bear promise for facile mobile chemical analysis of complex multi-component liquids, such as beverages. In this work, hand-crafted feature extraction from the transient potentiometric response of an array of low-selective miniaturized polymeric sensors is combined with a data pipeline for deployment of trained machine learning models on a cloud back-end or edge device. The sensor array demonstrated sensitivity to different organic acids and exhibited interesting performance for the fingerprinting of fruit juices and wines, including differentiation of samples through supervised learning based on sensory descriptors and prediction of consumer acceptability of aged juice samples. Product au-thentication, quality control and support of sensory evaluation are some of the applications that are expected to benefit from integrated electronic tongues that facilitate the characterization of complex properties of multi-component liquids.","PeriodicalId":427373,"journal":{"name":"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"415 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133158956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}