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

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A novel approach for the non-invasive diagnosis of prostate cancer based on urine odour analysis 基于尿液气味分析的前列腺癌无创诊断新方法
2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2022-05-29 DOI: 10.1109/ISOEN54820.2022.9789651
C. Bax, L. Capelli, F. Grizzi, Stefano Prudenza, G. Taverna
{"title":"A novel approach for the non-invasive diagnosis of prostate cancer based on urine odour analysis","authors":"C. Bax, L. Capelli, F. Grizzi, Stefano Prudenza, G. Taverna","doi":"10.1109/ISOEN54820.2022.9789651","DOIUrl":"https://doi.org/10.1109/ISOEN54820.2022.9789651","url":null,"abstract":"The diagnosis of prostate cancer (PCa) still remains difficult mainly due to limits of current screening procedure. The analysis of urine odor represents an opportunity and valid alternative. Trained dogs proved extraordinary capability to recognize PCa-specific volatile-organic compounds. Unfortunately, dogs cannot be introduced in the clinical setting. Thus, the interest in instruments mimicking the canine olfactory system is gaining increasing attention. In this context, we here propose an electronic nose (EN) for the non-invasive diagnosis of PCa and report the results of a blind cohort study to compare EN performance with trained dogs' olfaction.","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":"122073710","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 the fungal infection in post-harvest onions by an electronic nose 用电子鼻检测采后洋葱真菌感染
2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2022-05-29 DOI: 10.1109/ISOEN54820.2022.9789676
Malgorzata Labanska, Sascha Jenkins, S. V. Amsterdam, J. Clarkson, J. Covington
{"title":"Detection of the fungal infection in post-harvest onions by an electronic nose","authors":"Malgorzata Labanska, Sascha Jenkins, S. V. Amsterdam, J. Clarkson, J. Covington","doi":"10.1109/ISOEN54820.2022.9789676","DOIUrl":"https://doi.org/10.1109/ISOEN54820.2022.9789676","url":null,"abstract":"Among emerging novel trend streams in agriculture, techniques for the analysis of the volatile organic compounds emitted from plants are gaining increasing interest. In this work, the electronic nose abilities to detect onions infected with Fusarium oxysporum f. sp. cepae as well as to discriminate between samples with varying proportion of infected onion bulbs were evaluated. It was demonstrated that changes in the samples related to the development of the disease can be observed on the PCA plot. It was also proved that storage of the onions at a low temperature inhibits the development of the infection. Presented findings of the preliminary studies revealed that electronic nose is a promising analytical tool for the detection of the infection of the onion bulbs.","PeriodicalId":427373,"journal":{"name":"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"15 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":"123841372","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
A Spiking Neural Network-based Olfactory Bionic Model for Periodontal Diseases Screening by Exhaled Breath with Electronic Nose 基于脉冲神经网络的电子鼻呼出牙周病嗅觉仿生模型
2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2022-05-29 DOI: 10.1109/ISOEN54820.2022.9789617
Yingying Xue, Yizhou Xiong, Weijie Yu, Shimeng Mou, H. Wan, Ping Wang
{"title":"A Spiking Neural Network-based Olfactory Bionic Model for Periodontal Diseases Screening by Exhaled Breath with Electronic Nose","authors":"Yingying Xue, Yizhou Xiong, Weijie Yu, Shimeng Mou, H. Wan, Ping Wang","doi":"10.1109/ISOEN54820.2022.9789617","DOIUrl":"https://doi.org/10.1109/ISOEN54820.2022.9789617","url":null,"abstract":"Periodontal diseases seriously affect people's physical and mental health. Electronic noses combined with intelligent recognition technology have been widely used in the detection of exhaled breath in the diagnosis of diseases, while rarely focused on the detection of periodontal diseases. In this study, an electronic nose system based on electrochemical sensors was developed and a bionic olfactory model was constructed using a spiking neural network for the detection of periodontal diseases. Results show that the electronic nose system can accurately identify biomarkers related to periodontal disease (hydrogen sulfide, methanethiol). A total of 27 breath samples were analyzed to verify the performance of the model. The accuracy, sensitivity, and specificity of the model were 88.9%, 81.3%, and 100%, respectively. In conclusion, the developed electronic nose system combined with the olfactory bionic model shows a high performance in identifying patients with periodontal diseases, which have a great potential to be used both in clinical and point-of-care testing.","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":"121679656","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
Industrial Gases Identification Using Graphene-based Gas Sensors: NH3 and PH3 as an Example 基于石墨烯气体传感器的工业气体识别:以NH3和PH3为例
2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2022-05-29 DOI: 10.1109/ISOEN54820.2022.9789653
Shirong Huang, A. Croy, L. Panes-Ruiz, V. Khavrus, B. Ibarlucea, G. Cuniberti
{"title":"Industrial Gases Identification Using Graphene-based Gas Sensors: NH3 and PH3 as an Example","authors":"Shirong Huang, A. Croy, L. Panes-Ruiz, V. Khavrus, B. Ibarlucea, G. Cuniberti","doi":"10.1109/ISOEN54820.2022.9789653","DOIUrl":"https://doi.org/10.1109/ISOEN54820.2022.9789653","url":null,"abstract":"Both ammonia (NH3) and phosphine (PH3) play a significant role in an extensive range of industrial processes, while they are harmful to human health even at very low concentration. So far, a variety of gas sensors have been developed to detect them in an industrial environment aimed to protect the health of workers at their work place. Among various types of gas sensors, chemiresistive type gas sensors have attracted considerable interest due to its characteristics, such as simple fabrication, high sensitivity, high reliability, etc. Nevertheless, there are still some limitations, such as, high power consumption resulted from high operating temperatures, and most sensors are solely dedicated to an individual gas monitoring. In this work, we present the development of highly sensitive and highly discriminative graphene-based gas sensors for gas detection and identification at room temperature. Graphene is exfoliated by a liquid phase approach and functionalized by copper phthalocyanine derivate (CuPc). Leveraging machine learning techniques, graphene-based gas sensors demonstrate an excellent gas identification performance towards NH3 and PH3 at an ultralow concentration (ppb level). This work could pave the path to design highly sensitive and smart gas sensors for a wide range of gases.","PeriodicalId":427373,"journal":{"name":"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"44 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":"126591280","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
Regression Model for the Prediction of Pollutant Gas Concentrations with Temperature Modulated Gas Sensors 温度调节气体传感器预测污染物气体浓度的回归模型
2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2022-05-29 DOI: 10.1109/ISOEN54820.2022.9789650
A. Kobald, U. Weimar, N. Bârsan
{"title":"Regression Model for the Prediction of Pollutant Gas Concentrations with Temperature Modulated Gas Sensors","authors":"A. Kobald, U. Weimar, N. Bârsan","doi":"10.1109/ISOEN54820.2022.9789650","DOIUrl":"https://doi.org/10.1109/ISOEN54820.2022.9789650","url":null,"abstract":"Air pollution presents an increasingly important issue on a global scale. Gas sensors based on Semiconducting Metal Oxides (SMOX), exhibit a high sensitivity and low limit of detection, making them an ideal candidate to detect pollutant gases to conform to guidelines published by the world health organization. In this work, we show that the temperature modulation of a single multi-pixel SMOX gas sensor is a cost and size efficient way to detect and quantify pollutant gases relevant for outdoor air quality in a broad range of concentrations. Roughly 1 700 hours of data were recorded and analyzed. A convolutional neural network regression model trained on 4 192 samples was able to predict pollutants in random gas mixtures with low mean relative errors (MRE): CO - 4.2 %, NO2 - 11.1 %, O3 - 13.6 %, and SO2 16.1 %. Relative humidity was predicted with an MRE of 2.5 %.","PeriodicalId":427373,"journal":{"name":"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"39 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":"133042156","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
Remote Drone-to-Drone Gas Sensing: A Feasibility Study 远程无人机对无人机气体传感:可行性研究
2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2022-05-29 DOI: 10.1109/ISOEN54820.2022.9789627
P. Neumann, Dino Hullmann, N. Winkler, Jan Schugardt
{"title":"Remote Drone-to-Drone Gas Sensing: A Feasibility Study","authors":"P. Neumann, Dino Hullmann, N. Winkler, Jan Schugardt","doi":"10.1109/ISOEN54820.2022.9789627","DOIUrl":"https://doi.org/10.1109/ISOEN54820.2022.9789627","url":null,"abstract":"Remote gas sensors mounted on mobile robots en-able the mapping of gas distributions in large or poorly accessible areas. A challenging task however, is the generation of three-dimensional distribution maps from these spatially sparse gas measurements. To obtain high-quality reconstructions, the choice of optimal measuring poses is of great importance. Remote gas sensors, that are commonly used in Robot Assisted Gas Tomogra-phy (RAGT), require reflecting surfaces within the sensor's range, limiting the possible sensing geometries, regardless of whether the robots are ground-based or airborne. By combining ground and aerial robots into a heterogeneous swarm whose agents are equipped with reflectors and remote gas sensors, remote inter-robot gas measurements become available, taking RAGT to the next dimension - releasing those constraints. In this paper, we demonstrate the feasibility of drone-to-drone measurements under realistic conditions and highlight the resulting opportunities.","PeriodicalId":427373,"journal":{"name":"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"43 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":"115626370","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
Response Analysis of Resistor-type Gas Sensor with Bias Voltage Condition 偏置电压条件下电阻式气体传感器响应分析
2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2022-05-29 DOI: 10.1109/ISOEN54820.2022.9789620
K. Choi, Gyuweon Jung, Seongbin Hong, Y. Jeong, Wonjun Shin, Jinwoo Park, Chang-Yong Lee, Donghee Kim, Jong-Ho Lee
{"title":"Response Analysis of Resistor-type Gas Sensor with Bias Voltage Condition","authors":"K. Choi, Gyuweon Jung, Seongbin Hong, Y. Jeong, Wonjun Shin, Jinwoo Park, Chang-Yong Lee, Donghee Kim, Jong-Ho Lee","doi":"10.1109/ISOEN54820.2022.9789620","DOIUrl":"https://doi.org/10.1109/ISOEN54820.2022.9789620","url":null,"abstract":"Many studies on the response analysis of resistor-type gas sensors have been reported. In this work, the bias dependent sensitivity of resistor-type gas sensors is investigated. The response to NO2 gas is 40% lower at high bias voltages than at low bias voltages. We analyze the effect of sensing material resistance and metal-semiconductor (sensing material) contact resistance on gas response. The measured results from the pattern to which the transmission line method was applied show that the bias-dependent response is observed only in the contact resistance component. This result is analyzed using the bias dependence of the Schottky barrier that occurs in the metal-semiconductor contact. The performance of the sensor can be improved by utilizing the bias dependent sensitivity characteristics.","PeriodicalId":427373,"journal":{"name":"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"63 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":"124577450","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: 3
Sub-ppm detection of H2S with CuO-loaded SnO2 hollow nanospheres deposited on interdigitated electrodes 交叉电极上负载cuo的SnO2空心纳米球对H2S的亚ppm检测
2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2022-05-29 DOI: 10.1109/ISOEN54820.2022.9789639
O. de Leuze, Y. Danlée, X. Tang, J. Mahy, T. Walewyns, J. Raskin, S. Hermans, L. Francis
{"title":"Sub-ppm detection of H2S with CuO-loaded SnO2 hollow nanospheres deposited on interdigitated electrodes","authors":"O. de Leuze, Y. Danlée, X. Tang, J. Mahy, T. Walewyns, J. Raskin, S. Hermans, L. Francis","doi":"10.1109/ISOEN54820.2022.9789639","DOIUrl":"https://doi.org/10.1109/ISOEN54820.2022.9789639","url":null,"abstract":"Hydrogen sulfide is a toxic, highly corrosive and pollutant gas, but also a key-biomarker in disease diagnosis trough breath analysis. Its detection at very low level is therefore relevant and can be achieved with chemiresistors. The present work proposes a solution consisting in a facile synthesis of CuO-loaded SnO2 hollow nanospheres deposited on interdigitated electrodes (IDEs). Synthesis, chemical and electrical character-ization, deposit process of the sensing layer and gas sensing capabilities of the sensing platform are presented. CuO loaded Sno2 sensing platforms achieved a successful sub-ppm detection at an operating temperature of 100 degrees Celsius.","PeriodicalId":427373,"journal":{"name":"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"82 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":"117253813","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
Machine Learning-enabled Biomimetic Electronic Olfaction Using Graphene Single-channel Sensors 使用石墨烯单通道传感器的机器学习仿生电子嗅觉
2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2022-05-29 DOI: 10.1109/ISOEN54820.2022.9789605
Shirong Huang, A. Croy, A. Bierling, L. Panes-Ruiz, B. Ibarlucea, G. Cuniberti
{"title":"Machine Learning-enabled Biomimetic Electronic Olfaction Using Graphene Single-channel Sensors","authors":"Shirong Huang, A. Croy, A. Bierling, L. Panes-Ruiz, B. Ibarlucea, G. Cuniberti","doi":"10.1109/ISOEN54820.2022.9789605","DOIUrl":"https://doi.org/10.1109/ISOEN54820.2022.9789605","url":null,"abstract":"Olfaction is an evolutionary old sensory system, yet it provides sophisticated access to information about our surroundings. Inspired by the biological example, electronic noses (e-noses) in combination with efficient machine learning techniques aim to achieve similar performance and thus digitize the sense of smell. Despite the significant progress of e-noses, their development remains challenging due to the complex layout design of sensor arrays with a multitude of receptor types or sensor materials, and the need for high working temperature. In the current work, we present the discriminative recognition of odors utilizing graphene single-channel nanosensor-based electronic olfaction in conjunction with machine learning techniques. Multiple transient features extracted from the sensing response profile are employed to represent each odor and used as a fingerprint of odors. The developed electronic olfaction prototype exhibits excellent odor identification performance at room temperature, maximizing the obtained results from a single nanosensor. The developed platform may facilitate miniaturization of e-nose systems, digitization of odors, and distinction of volatile organic compounds (VOCs) in various emerging applications.","PeriodicalId":427373,"journal":{"name":"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"3 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":"127380145","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
Harnessing thermal fluctuations for selectivity gain 利用热波动获得选择性增益
2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Pub Date : 2022-05-29 DOI: 10.1109/ISOEN54820.2022.9789678
A. Vidybida
{"title":"Harnessing thermal fluctuations for selectivity gain","authors":"A. Vidybida","doi":"10.1109/ISOEN54820.2022.9789678","DOIUrl":"https://doi.org/10.1109/ISOEN54820.2022.9789678","url":null,"abstract":"Selectivity of olfactory receptor neuron (ORN) is compared with that of its receptor proteins ($R$) with fluctuations of odor binding-releasing process taken into account. The binding-releasing process is modeled as $N$ Bernoulli trials, where $N$ is the total number of $R$ per ORN. Dimensionless selectivities for both R and ORN are introduced and compared with each other. It is found the ORN's selectivity can be much higher then that of its receptor proteins. This effect is concentration-dependent. Possible application for biosensors is discussed.","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":"131079982","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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