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2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)最新文献

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ISOEN 2019 Front Matter ISOEN 2019前沿物质
2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2019-05-01 DOI: 10.1109/isoen.2019.8823205
{"title":"ISOEN 2019 Front Matter","authors":"","doi":"10.1109/isoen.2019.8823205","DOIUrl":"https://doi.org/10.1109/isoen.2019.8823205","url":null,"abstract":"","PeriodicalId":145116,"journal":{"name":"2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127397357","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}
引用次数: 0
Prediction of Specific Odor Markers in Oil from Olive Fruit Infested with Olive Scale Using an Electronic Nose 利用电子鼻预测橄榄鳞片侵染橄榄果实油中特定气味标记物
2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2019-05-01 DOI: 10.1109/ISOEN.2019.8823146
Norihito Kishimoto, Ayako Kashiwagi
{"title":"Prediction of Specific Odor Markers in Oil from Olive Fruit Infested with Olive Scale Using an Electronic Nose","authors":"Norihito Kishimoto, Ayako Kashiwagi","doi":"10.1109/ISOEN.2019.8823146","DOIUrl":"https://doi.org/10.1109/ISOEN.2019.8823146","url":null,"abstract":"Virgin olive oil is a valuable vegetable oil extracted from healthy olive fruit. In olive orchards, infestations of olive scale, a common pest, damage the fruit. This study applied an electronic nose to determine whether oil from fruit infested with olive scale had specific odor markers, which would be useful for quality control, because they could indicate contamination with oil from infested fruit. A HERACLES II electronic nose (Alpha MOS) analysis pre-screened odor compounds from oil of infested fruit. A comparison between the overall odor profiles of oil from healthy and infested fruit revealed important differences in the volatile compound concentrations. In total, 10 peaks were specific to oil from the infested fruit. Using the Alpha MOS’s AroChemBase library, the peaks were identified as mostly corresponding to compounds associated with the off-odor of oil from infested fruit.","PeriodicalId":145116,"journal":{"name":"2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124812002","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}
引用次数: 6
A portable potentiometric electronic tongue leveraging smartphone and cloud platforms 利用智能手机和云平台的便携式电位测量电子舌
2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2019-05-01 DOI: 10.1109/ISOEN.2019.8823244
P. Ruch, Rui Hu, L. Capua, Y. Temiz, S. Paredes, Antonio Lopez Marin, Jorge Barroso Carmona, Aaron Cox, Eiji Nakamura, Keiji Matsumoto
{"title":"A portable potentiometric electronic tongue leveraging smartphone and cloud platforms","authors":"P. Ruch, Rui Hu, L. Capua, Y. Temiz, S. Paredes, Antonio Lopez Marin, Jorge Barroso Carmona, Aaron Cox, Eiji Nakamura, Keiji Matsumoto","doi":"10.1109/ISOEN.2019.8823244","DOIUrl":"https://doi.org/10.1109/ISOEN.2019.8823244","url":null,"abstract":"Electronic tongues based on potentiometry offer the prospect of rapid and continuous chemical fingerprinting for portable and remote systems. The present contribution presents a technology platform including a miniaturized electronic tongue based on electropolymerized ion-sensitive films, microcontroller-based data acquisition, a smartphone interface and cloud computing back-end for data storage and deployment of machine learning models. The sensor array records a series of differential voltages without use of a true reference electrode and the resulting time-series potentiometry data is used to train supervised machine learning algorithms. For trained systems, inferencing tasks such as the classification of liquids are realized within less than 1 minute including data acquisition at the edge and inference using the cloud-deployed machine learning model. Preliminary demonstration of the complete electronic tongue technology stack is reported for the classification of beverages and mineral water.","PeriodicalId":145116,"journal":{"name":"2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125498691","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}
引用次数: 7
Multiplexed LSPR gas sensor with an arrayed molecularly imprinted Sol-Gel filter 多路LSPR气体传感器与阵列分子印迹溶胶-凝胶过滤器
2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2019-05-01 DOI: 10.1109/ISOEN.2019.8823275
Shota Shimizu, L. Shang, F. Sassa, K. Hayashi
{"title":"Multiplexed LSPR gas sensor with an arrayed molecularly imprinted Sol-Gel filter","authors":"Shota Shimizu, L. Shang, F. Sassa, K. Hayashi","doi":"10.1109/ISOEN.2019.8823275","DOIUrl":"https://doi.org/10.1109/ISOEN.2019.8823275","url":null,"abstract":"Detection of volatile organic components (VOCs) is meaningful to agricultural field, bio recognition and so on. In this study, we developed an array type gas sensor to detect VOCs. This sensor is based on localized surface plasmon resonance (LSPR). Molecularly Imprinted Sol-Gels (MISG) were patterned on the surface of Au nano-islands to add molecular selectivity. The substrate is separated into 9 regions on AuNPs by using polyimide tape partitions and spin coating MISG solutions for each region. Multi channels sensor was fabricated with this substrate after this process. The sensor’s sensitives were compared for each channel. The result indicated that the sensitivity of target gas channel was higher than into others.","PeriodicalId":145116,"journal":{"name":"2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121682399","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}
引用次数: 0
Opto-electronic nose - temperature and VOC concentration effects on the equilibrium response 光电鼻温和VOC浓度对平衡响应的影响
2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2019-05-01 DOI: 10.1109/ISOEN.2019.8823292
Jonathan S. Weerakkody, Charlotte Hurot, Sophie Brenet, R. Mathey, C. Raillon, T. Livache, A. Buhot, Yanxia Hou
{"title":"Opto-electronic nose - temperature and VOC concentration effects on the equilibrium response","authors":"Jonathan S. Weerakkody, Charlotte Hurot, Sophie Brenet, R. Mathey, C. Raillon, T. Livache, A. Buhot, Yanxia Hou","doi":"10.1109/ISOEN.2019.8823292","DOIUrl":"https://doi.org/10.1109/ISOEN.2019.8823292","url":null,"abstract":"Electronic Nose (eN) systems use sensor arrays containing multiple probes to generate fingerprints for the sensitive and selective detection of Volatile Organic Compounds (VOCs). In this paper, we analyzed the effect of VOC concentrations and of temperatures from 5°C to 35°C on the equilibrium response profiles. Fingerprint patterns for 1-butanol are strongly conserved thanks to a quadratic normalization of the row equilibrium data obtained from our opto-eN with Surface Plasmon Resonance imaging (SPRi) detection. Furthermore, a power law behavior of the rescaling factor with VOC concentration was observed and led to a Limit Of Detection (LOD) of 70 ppb for 1-butanol at 25°C.","PeriodicalId":145116,"journal":{"name":"2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121499428","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}
引用次数: 2
Development of a Potentionmetric CO2 Sensor Chip Based on the Solid-Contact Ion-Selecitve Electrodes 基于固体接触离子选择电极的CO2电位传感器芯片的研制
2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2019-05-01 DOI: 10.1109/ISOEN.2019.8823235
L. Ho, Lin-Chi Chen
{"title":"Development of a Potentionmetric CO2 Sensor Chip Based on the Solid-Contact Ion-Selecitve Electrodes","authors":"L. Ho, Lin-Chi Chen","doi":"10.1109/ISOEN.2019.8823235","DOIUrl":"https://doi.org/10.1109/ISOEN.2019.8823235","url":null,"abstract":"In this study, we aimed to develop a pCO<inf>2</inf> sensor based on the solid-contact ion-selective electrodes (SC-ISEs). With the thermodynamic model, a new type pCO<inf>2</inf> sensor could be achieved by measuring the electromotive force (EMF) between a pH meter and a carbonate-selective electrode. We fabricated a SC pH meter (sensitivity = 45.35 mV/decade, R<sup>2</sup> = 99.96) and a SC carbonate-selective electrode (sensitivity = 52.78 mV/decade, R<sup>2</sup> = 97.55) for following pCO<inf>2</inf> sensing. The results showed that the new type pCO<inf>2</inf> sensor could respond to the change in dissolved CO<inf>2</inf> while coupling two electrodes, and the sensitivity was 49.27 mV/decade (R<sup>2</sup> = 79.20).","PeriodicalId":145116,"journal":{"name":"2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122609016","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}
引用次数: 0
Detection of volatile organic compounds with a polymeric sensing film deposited on a long period fiber grating 用长周期光纤光栅沉积聚合物传感膜检测挥发性有机化合物
2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2019-05-01 DOI: 10.1109/ISOEN.2019.8823355
G. Beltrán-Pérez, S. Muñoz-Aguirre, J. Castillo-Mixcóatl, V. Epitacio-Reyes
{"title":"Detection of volatile organic compounds with a polymeric sensing film deposited on a long period fiber grating","authors":"G. Beltrán-Pérez, S. Muñoz-Aguirre, J. Castillo-Mixcóatl, V. Epitacio-Reyes","doi":"10.1109/ISOEN.2019.8823355","DOIUrl":"https://doi.org/10.1109/ISOEN.2019.8823355","url":null,"abstract":"In the present work, the fabrication and characterization of a volatile organic compounds sensor is reported. The sensor was constructed depositing a sensing film of polydimethylsiloxane (PDMS) on a long period fiber grating. The measurements were performed in a Teflon chamber, where the alcohol samples were injected at different concentrations. The measured samples were methanol, ethanol, propanol and butanol. There was observed a different behavior of the response to methanol, which was attributed to the fact that its refractive index is lower than the one for PDMS, while for the other samples is the opposite. The calibration curves of the sensor response were obtained, which were fitted to a second order polynomial with high correlation coefficients. Furthermore, the relationship between the sensitivity and the molecular weight was determined.","PeriodicalId":145116,"journal":{"name":"2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127928837","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}
引用次数: 1
Pheromone Detection Using Odorant Binding Protein Sensors 利用气味结合蛋白传感器检测信息素
2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2019-05-01 DOI: 10.1109/ISOEN.2019.8823345
E. Tuccori, K. Persaud
{"title":"Pheromone Detection Using Odorant Binding Protein Sensors","authors":"E. Tuccori, K. Persaud","doi":"10.1109/ISOEN.2019.8823345","DOIUrl":"https://doi.org/10.1109/ISOEN.2019.8823345","url":null,"abstract":"General Odorant Binding Protein 2 (GOBP2) and Pheromone Binding Protein 1 (PBP)1 of the silk moth Bombyx mori were synthesized for the purpose of developing biosensors for agricultural applications. The affinity of binding of the PBP1 and the GOBP2 against the pheromones bombykol and bombykal was tested in in solution using competitive binding assays with the fluorescence probe 1-NPN. The proteins were immobilized on to quartz crystal microbalances using a self-assembled monolayer with covalent bonding. The devices were able to detect and distinguish the pheromones in the vapor phase at ppb concentrations.","PeriodicalId":145116,"journal":{"name":"2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133672175","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}
引用次数: 2
Application of Sequence Input and Output Long Short-Term Memory Neural Networks for Autonomous Gas Source Localization in an Outdoor Environment 序列输入输出长短期记忆神经网络在室外环境下自主气源定位中的应用
2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2019-05-01 DOI: 10.1109/ISOEN.2019.8823160
Akifumi Yamamoto, Christian Bilgera, Maki Sawano, H. Matsukura, N. Sawada, Chee Siang Leow, H. Nishizaki, H. Ishida
{"title":"Application of Sequence Input and Output Long Short-Term Memory Neural Networks for Autonomous Gas Source Localization in an Outdoor Environment","authors":"Akifumi Yamamoto, Christian Bilgera, Maki Sawano, H. Matsukura, N. Sawada, Chee Siang Leow, H. Nishizaki, H. Ishida","doi":"10.1109/ISOEN.2019.8823160","DOIUrl":"https://doi.org/10.1109/ISOEN.2019.8823160","url":null,"abstract":"In outdoor environments, fluctuating airflow and gas distribution make gas source localization (GSL) tasks difficult. In our research, we use neural networks (NNs) to overcome these difficulties by applying long short-term memory deep neural networks (LSTM-DNNs) to time series data taken from a gas sensor array and anemometer to estimate the position of a gas source. In this paper, we present NNs for GSL with the ability to use various length input data and estimate a gas source location each time-step. In doing so, we were able to estimate the location of a gas source within 40 time-steps (20 s) and achieved (using 300 time-steps) an estimation accuracy of 95%.","PeriodicalId":145116,"journal":{"name":"2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"33 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131789998","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}
引用次数: 0
Accurate identification of gas type and concentration using DNN reflecting the sensing properties of MOSFET-type gas sensor 利用深度神经网络准确识别气体类型和浓度，反映了mosfet型气体传感器的传感特性
2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2019-05-01 DOI: 10.1109/ISOEN.2019.8823181
Gyuweon Jung, Hyeongsu Kim, Y. Jeong, Yoonki Hong, Meile Wu, Seongbin Hong, Wonjun Shin, D. Jang, Jong-Ho Lee
{"title":"Accurate identification of gas type and concentration using DNN reflecting the sensing properties of MOSFET-type gas sensor","authors":"Gyuweon Jung, Hyeongsu Kim, Y. Jeong, Yoonki Hong, Meile Wu, Seongbin Hong, Wonjun Shin, D. Jang, Jong-Ho Lee","doi":"10.1109/ISOEN.2019.8823181","DOIUrl":"https://doi.org/10.1109/ISOEN.2019.8823181","url":null,"abstract":"The principal component analysis (PCA) and deep neural network (DNN) are used to classify the gas types (reducing and oxidizing) and to identify the concentration of gases. The pMOSFET-type gas sensor is used to provide sensing data for learning. The gas sensor has 15-nm-thick ZnO as a sensing layer processed by atomic layer deposition (ALD). The sensing characteristics of NO2 and H2S gases are investigated in changing temperature and concentration conditions. The same gas sensor data and temperature sensor data are analyzed by PCA and DNN algorithms. PCA provides gas type classification results without information on gas concentration. However, DNN regression model has the ability to precisely identify gas concentration and gas type in changing temperature conditions.","PeriodicalId":145116,"journal":{"name":"2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114381575","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}
引用次数: 1
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