{"title":"利用热波动获得选择性增益","authors":"A. Vidybida","doi":"10.1109/ISOEN54820.2022.9789678","DOIUrl":null,"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":0.0000,"publicationDate":"2022-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Harnessing thermal fluctuations for selectivity gain\",\"authors\":\"A. Vidybida\",\"doi\":\"10.1109/ISOEN54820.2022.9789678\",\"DOIUrl\":null,\"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\":0.0000,\"publicationDate\":\"2022-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISOEN54820.2022.9789678\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISOEN54820.2022.9789678","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Harnessing thermal fluctuations for selectivity gain
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.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
