2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)最新文献_第5页

Rapid Recognition of Olfactory Scenes with a Portable MOx Sensor System using Hotplate Modulation 利用热板调制的便携式MOx传感器系统快速识别嗅觉场景

2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2022-05-29 DOI: 10.1109/ISOEN54820.2022.9789654

Damien Drix, N. Dennler, M. Schmuker

{"title":"Rapid Recognition of Olfactory Scenes with a Portable MOx Sensor System using Hotplate Modulation","authors":"Damien Drix, N. Dennler, M. Schmuker","doi":"10.1109/ISOEN54820.2022.9789654","DOIUrl":"https://doi.org/10.1109/ISOEN54820.2022.9789654","url":null,"abstract":"A café, the metro, a supermarket, a book store - many locations of everyday life have a specific smell. Recognising such olfactory scenes could inform personal activity tracking, environmental monitoring, and assist robotic navigation. Yet it is unclear if current Metal-oxide (MOx) sensor technology is sensitive and specific enough to achieve this. Factors like sensor drift, and sensitivity to ambient humidity and temperature further complicate the recognition of olfactory scenes. Hotplate temperature modulation has been suggested as a method to counter these drawbacks. We present an electronic nose based on MEMS-MOx sensors that support rapid hotplate temperature modulation with a 150 ms period. We recorded different natural olfactory scenes in an urban context. A linear SVM was able to recognise four olfactory scenes in single hotplate cycles with near-perfect performance when trained and tested on the same day, and 73% accuracy when tested in the same locations on the next day. Gas sensor responses yielded higher recognition accuracy than humidity, temperature, and pressure, which were also partly-location specific. Our results indicate that hotplate modulation enables recognition of natural odor scenes across extended timespans. These findings encourage the use of MOx-sensors as rapid sensing devices in natural, uncontrolled environments.","PeriodicalId":427373,"journal":{"name":"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"17 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":"127947139","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

MOS Gas Sensors for Food Quality Monitoring using GC- MS and Human Perception as Reference 以气相色谱-质谱联用和人类感知为参考的MOS气体传感器用于食品质量监测

2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2022-05-29 DOI: 10.1109/ISOEN54820.2022.9789619

J. Joppich, O. Brieger, K. Karst, Daniel Becher, C. Bur, A. Schütze

引用次数: 0

Odorant Binding Proteins and Porphyrins Mixed Gas Sensor Array 气味结合蛋白和卟啉混合气体传感器阵列

2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2022-05-29 DOI: 10.1109/ISOEN54820.2022.9789667

R. Capuano, Khasim Cali, A. Catini, R. Paolesse, K. Persaud, C. Natale

引用次数: 0

SENSOFT Network: a wireless gas sensing-sampling network for chemical threats detection SENSOFT网络:用于化学威胁检测的无线气体传感采样网络

2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2022-05-29 DOI: 10.1109/ISOEN54820.2022.9789666

M. Padilla, Moritz Kleinstraß, M. León, E. González, Manuel Sparano, Marina Ribas, Ainhoa Rezola, A. Beriain, E. Llobet, J. Mitrovics

引用次数: 0

A Biomimetic Cardiomyocyte-based Biosensor for the Detection of Medium Chain Fatty Acids 一种用于检测中链脂肪酸的仿生心肌细胞生物传感器

2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2022-05-29 DOI: 10.1109/ISOEN54820.2022.9789679

Yating Chen, L. Du, Ping Zhu, Shuge Liu, Dongxin Liang, Chunsheng Wu

{"title":"A Biomimetic Cardiomyocyte-based Biosensor for the Detection of Medium Chain Fatty Acids","authors":"Yating Chen, L. Du, Ping Zhu, Shuge Liu, Dongxin Liang, Chunsheng Wu","doi":"10.1109/ISOEN54820.2022.9789679","DOIUrl":"https://doi.org/10.1109/ISOEN54820.2022.9789679","url":null,"abstract":"Biomimetic cell-based biosensors have been developed for applications in many fields such as food, beverage, pharmaceutical and environment safety. However, the limited sensitivity and specificity have hampered their further development and practical applications. In recent years, biomimetic biosensors based on the combination of biomaterials as sensitive materials and various detection device as transducers have been widely proposed for the purpose of bridging the gap between the electronic system and the biological sense of smell. In this work, a biomimetic biosensor based on SD primary cardiomyocytes as the main sensitive element and microelectrode array (MEA) as the transducer device was developed for medium-chain fatty acid (MCFA) detection for the first time. The extracted primary cardiomyocytes endogenously expressing the OR51 E 1 olfactory receptor were cultured on the MEA surface and formed syncytium for potential conduction and mechanical beating. The obtained results indicated that the surface coating of MEA chip provided good biocompatibility for cardiomyocyte culture which grow well on the surface of MEA chip, allowing for the further measurement on cell responsive signals. The measurement results showed that this biomimetic biosensor had specific responses to five fatty acids with significant responsive signals and different fatty acid odorants were successfully distinguished by principal component analysis (PCA). The cardiomyocyte-based biosensor developed in this work provides a new method for biomimetic biosensor construction and has promising applications in olfactory detection and pharmaceutical researches.","PeriodicalId":427373,"journal":{"name":"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"31 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":"132542534","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

Odorant binding protein-based optoelectronic nose: Hydration and protein activity 基于气味结合蛋白的光电鼻:水合作用和蛋白质活性

2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2022-05-29 DOI: 10.1109/ISOEN54820.2022.9789645

Marielle El Kazzy, Charlotte Hurot, A. Buhot, Lucie Moitrier, C. Belloir, L. Briand, Yanxia Hou

引用次数: 0

Odour impact assessment by Instrumental Odour Monitoring Systems: a case study focusing on the differentiation of different odour sources and performance testing 仪器气味监测系统的气味影响评估:一个案例研究，重点是不同气味来源的区分和性能测试

2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2022-05-29 DOI: 10.1109/ISOEN54820.2022.9789660

B. J. Lotesoriere, C. Bax, L. Capelli

引用次数: 1

A bench test system for developing E-nose diagnostic tools with exhaled breath sampling 用于开发呼气采样电子鼻诊断工具的台架测试系统

2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2022-05-29 DOI: 10.1109/ISOEN54820.2022.9789598

Stefano Robbiani, C. Bax, Jody Albertazzi, Margherita Pappolla, V. Busini, L. Capelli, R. Dellaca’

引用次数: 1

Optimal Bias Conditions for FET-type Gas Sensors to Minimize Current Fluctuations fet型气体传感器最大限度减小电流波动的最佳偏置条件

2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2022-05-29 DOI: 10.1109/ISOEN54820.2022.9789643

Gyuweon Jung, Jaehyeon Kim, Wonjun Shin, Seongbin Hong, Y. Jeong, Jinwoo Park, Donghee Kim, K. Choi, Jong-Ho Lee

{"title":"Optimal Bias Conditions for FET-type Gas Sensors to Minimize Current Fluctuations","authors":"Gyuweon Jung, Jaehyeon Kim, Wonjun Shin, Seongbin Hong, Y. Jeong, Jinwoo Park, Donghee Kim, K. Choi, Jong-Ho Lee","doi":"10.1109/ISOEN54820.2022.9789643","DOIUrl":"https://doi.org/10.1109/ISOEN54820.2022.9789643","url":null,"abstract":"In this work, we introduce a method to improve gas detection characteristics of FET-type gas sensors by using optimal operation bias conditions while maintaining the same sensing material. When a sensing material chemisorbs the gas, effective charges are formed on the sensing material. These charges induce a potential change, transmitting this change to the Si channel. The current change due to gas reaction and current fluctuations both affect gas detection. The gas reaction causes a change in the threshold voltage of the sensor and causes different current fluctuations depending on the operating region. The smaller the current fluctuation, the more accurately the sensor can detect the gas. It is observed that the larger the VCG and the smaller the VDS, the smaller the current fluctuation. By operating the sensor in the linear region (VCG= Vth+ 1.2 V, VDS= 0.1 V) rather than the subthreshold region (VCG= Vth- 0.3 V, VDS= 0.1 V), the standard deviation of the Gaussian distribution of the current fluctuation can be reduced by ~100 times.","PeriodicalId":427373,"journal":{"name":"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"31 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":"133239574","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

Pneumopipe-sense: tailoring breath collection and analysis for mobile points-of-care 气管感应:为移动护理点定制呼吸收集和分析

2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2022-05-29 DOI: 10.1109/ISOEN54820.2022.9789616

A. Zompanti, G. Pennazza, Anna Sabatini, S. Grasso, Antonio Mortella, M. Santonico

引用次数: 0