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2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)最新文献

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Identification of gas species and their concentrations by using sorption kinetics of viscoelastic film 用粘弹性膜吸附动力学鉴别气体种类及其浓度
2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2022-05-29 DOI: 10.1109/ISOEN54820.2022.9789682
K. Minami, Kota Shiba, Gaku Imamura, Genki Yoshikawa
{"title":"Identification of gas species and their concentrations by using sorption kinetics of viscoelastic film","authors":"K. Minami, Kota Shiba, Gaku Imamura, Genki Yoshikawa","doi":"10.1109/ISOEN54820.2022.9789682","DOIUrl":"https://doi.org/10.1109/ISOEN54820.2022.9789682","url":null,"abstract":"Nanomechanical sensors and their arrays have been attracting significant attention for detecting, distinguishing, and identifying target analytes. In the static mode operation, sensing signals are obtained by a concentration-dependent sorption-induced mechanical stress/strain. Recently, we derived an an-alytical solution, which is applicable to multistep injection-purge cycles in the static mode nanomechanical sensing with viscoelastic receptor layers. The model can be utilized for ex-tracting viscoelastic properties and the concentrations of analytes more accurately by fitting a couple of injection purge curves obtained from experimental data. Here, we show the utility of the optimized parameters directly not only for the identification of gas species but also for their concentrations.","PeriodicalId":427373,"journal":{"name":"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"173 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":"133005021","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
Food quality monitoring by portable electronic nose based on organic field-effect transistors 基于有机场效应晶体管的便携式电子鼻食品质量监测
2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2022-05-29 DOI: 10.1109/ISOEN54820.2022.9789599
D. Anisimov, A. Abramov, V. Chekusova, A. Trul, E. Agina, Sergey A. Ponomarenko
{"title":"Food quality monitoring by portable electronic nose based on organic field-effect transistors","authors":"D. Anisimov, A. Abramov, V. Chekusova, A. Trul, E. Agina, Sergey A. Ponomarenko","doi":"10.1109/ISOEN54820.2022.9789599","DOIUrl":"https://doi.org/10.1109/ISOEN54820.2022.9789599","url":null,"abstract":"Determination of food freshness is the most ancient role of the sense of smell while still being a challenge for compact electronic nose devices. Fast, sensitive and reusable sensors are long-awaited in the food industry to replace long and expensive bacteriological methods. In this work, we present some new results on the emerging application of electronic noses based on Organic Filed-Effect Transistor to the problems of food spoilage detection and its quality estimation.","PeriodicalId":427373,"journal":{"name":"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"23 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":"126847034","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
Design of Breath Sampling Device and Procedure for Volatile Organic Compounds and Exhaled Breath Condensate 挥发性有机化合物和呼出冷凝水呼气取样装置和程序的设计
2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2022-05-29 DOI: 10.1109/ISOEN54820.2022.9789634
Hangming Xiong, Jiaying Sun, Yingying Xue, Wei-Jing Yu, Yong Zhou, H. Wan, Ping Wang
{"title":"Design of Breath Sampling Device and Procedure for Volatile Organic Compounds and Exhaled Breath Condensate","authors":"Hangming Xiong, Jiaying Sun, Yingying Xue, Wei-Jing Yu, Yong Zhou, H. Wan, Ping Wang","doi":"10.1109/ISOEN54820.2022.9789634","DOIUrl":"https://doi.org/10.1109/ISOEN54820.2022.9789634","url":null,"abstract":"Breath analysis is a potential tool for non-invasive diagnostic biomarker discovery. Precise analysis of organic compounds in exhaled breath require appropriate sample collection methods. However, few researches have reported methods for collecting volatile organic compounds (VOCs) and exhaled breath condensate (EBC) simultaneously. In this study, the sampling device was designed for collecting both VOCs and EBC in breath with applicable sampling procedure. Conditioning and storage methods for sampling device were evaluated to prevent possible contaminants and artefacts. Analysis of VOCs samples were performed by thermal desorption-gas chromatography-mass spectrometry (TD-GC-MS). The results show that this sampling device and procedure could efficiently collect VOCs and EBC at the same time, thereby providing recommendations for standardization of breath sampling.","PeriodicalId":427373,"journal":{"name":"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"108 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":"123330664","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
Towards a chip-based impedimetric biosensor for gaseous H202 detection 基于芯片的H202气体检测阻抗生物传感器
2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2022-05-29 DOI: 10.1109/ISOEN54820.2022.9789624
F. Vahidpour, Yousef Alghazali, Steffen Thies, G. Hommes, M. Schöning
{"title":"Towards a chip-based impedimetric biosensor for gaseous H202 detection","authors":"F. Vahidpour, Yousef Alghazali, Steffen Thies, G. Hommes, M. Schöning","doi":"10.1109/ISOEN54820.2022.9789624","DOIUrl":"https://doi.org/10.1109/ISOEN54820.2022.9789624","url":null,"abstract":"This paper presents a novel approach for the detection of hydrogen peroxide (H<inf>2</inf>O<inf>2</inf>) vapor at low concentrations and room temperature conditions, as these are often used for sterilization in medical industry. Interdigitated electrode structures (IDEs) have been fabricated on glass substrates by means of microfabrication techniques and Ti/Pt evaporation. Impedance spectroscopy is used for impedance measurements of the IDE structures in H<inf>2</inf>O<inf>2</inf> atmosphere, which was provided by a glass bottle containing 20 mL of 35% w/w H<inf>2</inf>O<inf>2</inf> (i.e., free evaporation in a confined space with stable and homogenous temperature). The sensor signal shows changes by varying the H<inf>2</inf>O<inf>2</inf> concentrations inside the gas-tight glass bottle. Selectivity was achieved by means of the enzyme horse radish peroxidase. The detection of low concentrations of H<inf>2</inf>O<inf>2</inf> gas at room temperature and in the aerosol phase is performed in this study for the first time, which paves the path towards on-line monitoring of H<inf>2</inf>O<inf>2</inf> gas in aseptic processing.","PeriodicalId":427373,"journal":{"name":"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"6 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":"134368089","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
Learning to see VOCs with Liquid Crystal Droplets 学习用液晶滴观察挥发性有机化合物
2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2022-05-29 DOI: 10.1109/ISOEN54820.2022.9789647
S. Palma, José Frazão, Rita Alves, Henrique M. A. Costa, C. Alves, Hugo Gamboa, Margarida Silveira, A. C. Roque
{"title":"Learning to see VOCs with Liquid Crystal Droplets","authors":"S. Palma, José Frazão, Rita Alves, Henrique M. A. Costa, C. Alves, Hugo Gamboa, Margarida Silveira, A. C. Roque","doi":"10.1109/ISOEN54820.2022.9789647","DOIUrl":"https://doi.org/10.1109/ISOEN54820.2022.9789647","url":null,"abstract":"In hybrid gels with immobilized liquid crystal (LC) droplets, fast and unique optical texture variations are generated when distinct volatile organic compounds (VOCs) interact with the LC and disturb its molecular order. The optical texture variations can be observed under a polarized optical microscope or transduced into a signal representing the variations of light transmitted through the LC. We show how hybrid gels can accurately identify 11 distinct VOCs by using deep learning to analyze optical texture variations of individual droplets (0.93 average F1-score) and by using machine learning to analyze 1D optical signals from multiple droplets in hybrid gels (0.88 average F1-score).","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":"134576861","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
A Novel and Sensitive Detection Method of Hydrogen Peroxide and Glucose Based on Copper Nanoclusters 一种基于铜纳米簇的过氧化氢和葡萄糖的新型灵敏检测方法
2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2022-05-29 DOI: 10.1109/ISOEN54820.2022.9789649
Shuqi Zhou, Xinyi Wang, Liubing Kong, Wen-Hui Lin, Chiyu Ma, Xianyou Sun, Zhuoru Huang, K. Ying, H. Wan, Ping Wang
{"title":"A Novel and Sensitive Detection Method of Hydrogen Peroxide and Glucose Based on Copper Nanoclusters","authors":"Shuqi Zhou, Xinyi Wang, Liubing Kong, Wen-Hui Lin, Chiyu Ma, Xianyou Sun, Zhuoru Huang, K. Ying, H. Wan, Ping Wang","doi":"10.1109/ISOEN54820.2022.9789649","DOIUrl":"https://doi.org/10.1109/ISOEN54820.2022.9789649","url":null,"abstract":"The level of glucose in blood or urine are an important indicator of diabetes. Here, a sensitive and easily operated colorimetric methods was established based on the mercaptosuccinic acid modified copper nanocluster(MSA-CuNCs). MSA-CuNCs, which was act as both thehydrogen peroxide catalyst and the chromogenic reagent. By observing the absorption at 520 nm, the H2O2 could be detected, with the detection range of 0.2-5 mM and the detection limit of 0.05 mM. Using glucose oxidase, the glucose could also be detected, the detection range was 0.2-5 mM with the detection limit of 0.12 mM. This simple and cost-effective approach indicating its great potential for point-of-care applications","PeriodicalId":427373,"journal":{"name":"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"27 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":"131573284","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
Overview on VOGAS: an instrument combining two gas sensing techniques for disease diagnosis VOGAS概述:一种结合两种气体传感技术用于疾病诊断的仪器
2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2022-05-29 DOI: 10.1109/ISOEN54820.2022.9789621
M. Padilla, M. León, J. Glöckler, T. Welearegay, Gidi Shani, B. Mizaikoff, Lars Österlund, J. Mitrovics, H. Haick
{"title":"Overview on VOGAS: an instrument combining two gas sensing techniques for disease diagnosis","authors":"M. Padilla, M. León, J. Glöckler, T. Welearegay, Gidi Shani, B. Mizaikoff, Lars Österlund, J. Mitrovics, H. Haick","doi":"10.1109/ISOEN54820.2022.9789621","DOIUrl":"https://doi.org/10.1109/ISOEN54820.2022.9789621","url":null,"abstract":"We present VOGAS, a semi-portable in-strument performing non-invasive and fast detection of gastric cancer. The VOGAS device analyzes the patients exhaled breath using two gas sensing techniques: infrared spectrometry and different technologies of resistive gas sensors (gold nanoparticles, research developed metal oxides and commercial metal oxides). The combination of these techniques results in a great amount of complementary information in a single breath sample mea-surement, which can increase the ability of a one-gas sensing technique device to detect gastric diseases. In this work, we describe the VOGAS device in detail.","PeriodicalId":427373,"journal":{"name":"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"198 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":"131775177","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
Smart Electronic Nose for the Detection of Exhaled Breath to Diagnose Small Intestinal Bacterial Overgrowth 智能电子鼻检测呼出气体诊断小肠细菌过度生长
2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2022-05-29 DOI: 10.1109/ISOEN54820.2022.9789641
Wei-Jing Yu, Shimeng Mou, Yingying Xue, Hangming Xiong, Yanjie Hu, H. Wan, Ping Wang
{"title":"Smart Electronic Nose for the Detection of Exhaled Breath to Diagnose Small Intestinal Bacterial Overgrowth","authors":"Wei-Jing Yu, Shimeng Mou, Yingying Xue, Hangming Xiong, Yanjie Hu, H. Wan, Ping Wang","doi":"10.1109/ISOEN54820.2022.9789641","DOIUrl":"https://doi.org/10.1109/ISOEN54820.2022.9789641","url":null,"abstract":"There is an association between small intestinal bacterial overgrowth (SIBO) and common intestinal symptoms such as chronic diarrhea, bloating, and irritable bowel syndrome. At present, the main clinical diagnostic methods are invasive tests, and breath test is a non-invasive method for SIBO diagnosis that is more acceptable to patients. In this paper, a smart electronic nose for detecting exhaled breath was designed, which can detect the concentration of hydrogen, methane and hydrogen sulfide in alveolar gas to diagnose human intestinal bacteria. Electronic nose improved the measurement accuracy through chromatographic separation and carbon dioxide synchronous calibration technology. The detection range of hydrogen and methane was 1-180ppm with a resolution of 1ppm, and the detection range of hydrogen sulfide was 0.1ppm-1ppm with a resolution of 0.1ppm. The electronic nose had high repeatability and stability, and can be used for the detection of clinical samples. Besides, the smart data analysis and recognition algorithms had been developed to diagnose the SIBO.","PeriodicalId":427373,"journal":{"name":"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"30 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":"133612524","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
NanoElectroOptical Nose (NEONOSE) for the detection of Climate Change gases 用于探测气候变化气体的纳米光电鼻(NEONOSE)
2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2022-05-29 DOI: 10.1109/ISOEN54820.2022.9789628
Félix Meléndez, P. Arroyo, J. Suárez, P. Carmona, Juan Álvaro Fernández, José Luis Herrero, Jaime Gómez-Suárez, Diego Carmona, Jesús Lozano
{"title":"NanoElectroOptical Nose (NEONOSE) for the detection of Climate Change gases","authors":"Félix Meléndez, P. Arroyo, J. Suárez, P. Carmona, Juan Álvaro Fernández, José Luis Herrero, Jaime Gómez-Suárez, Diego Carmona, Jesús Lozano","doi":"10.1109/ISOEN54820.2022.9789628","DOIUrl":"https://doi.org/10.1109/ISOEN54820.2022.9789628","url":null,"abstract":"This paper describes a prototype of artificial olfactory system or electronic nose (NEONOSE) containing commercially available MOX and NDIR gas sensors, forming an array of a total of 13 sensors (six MOX and seven NDIR sensors). The electronic circuits have been designed for this application. The prototype consists of two boards (containing different type of sensors) with two microcontrollers that communicates each other by using a digital interface. The processed data is sent via Bluetooth to an Android smartphone, where it is collected and stored using an own developed application developed. Some measurements with different industrial gases have been done for testing the device.","PeriodicalId":427373,"journal":{"name":"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"56 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":"116127396","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
A bioinspired olfactory sensor based on organoid-on-a-chip 一种基于类器官芯片的仿生嗅觉传感器
2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2022-05-29 DOI: 10.1109/ISOEN54820.2022.9789662
Nan Jiang, Chunlian Qin, Qunchen Yuan, Yan Duan, Mengxue Liu, L. Zhuang, Ping Wang
{"title":"A bioinspired olfactory sensor based on organoid-on-a-chip","authors":"Nan Jiang, Chunlian Qin, Qunchen Yuan, Yan Duan, Mengxue Liu, L. Zhuang, Ping Wang","doi":"10.1109/ISOEN54820.2022.9789662","DOIUrl":"https://doi.org/10.1109/ISOEN54820.2022.9789662","url":null,"abstract":"The mammalian olfactory system is considered to be one of the most efficient chemosensing system due to its extraordinary ability in odor detection. The development of bioinspired olfactory biosensing technology makes it possible to mimic biological olfactory system. To overcome the limitation of olfactory biosensor in sensitivity and specificity, we present a novel olfactory biosensor based on organoid-on-a-chip. 3D culture technique was used to induce mammalian olfactory epithelial stem cells to differentiate into olfactory organoids. After about two weeks culture, olfactory sensory neurons (OSNs) became mature. When the organoids are transferred and fixed to the microelectrode array (MEA) chip and given a specific odor stimulus, the corresponding signal of neural activity is recorded. The feature extraction and pattern recognition of the signal are completed by the neural decoding algorithm, and then the odor recognition model is constructed to realize the high sensitivity, specificity, stability and rapid detection and recognition of the odor. The bioinspired olfactory sensor based on organoid-on-a-chip provides a more accurate and efficient platform for detection of odor.","PeriodicalId":427373,"journal":{"name":"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"146 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":"114644326","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
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