Multi-Odor Discrimination by Rat Sniffing for Potential Monitoring of Lung Cancer and Diabetes
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Oh, Yunkwang | - |
dc.contributor.author | Kwon, Ohseok | - |
dc.contributor.author | Min, Sun-Seek | - |
dc.contributor.author | Shin, Yong-Beom | - |
dc.contributor.author | Oh, Min-Kyu | - |
dc.contributor.author | Kim, Moonil | - |
dc.date.accessioned | 2021-11-19T09:40:29Z | - |
dc.date.available | 2021-11-19T09:40:29Z | - |
dc.date.created | 2021-08-30 | - |
dc.date.issued | 2021-06 | - |
dc.identifier.issn | 1424-8220 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/127979 | - |
dc.description.abstract | The discrimination learning of multiple odors, in which multi-odor can be associated with different responses, is important for responding quickly and accurately to changes in the external environment. However, very few studies have been done on multi-odor discrimination by animal sniffing. Herein, we report a novel multi-odor discrimination system by detection rats based on the combination of 2-Choice and Go/No-Go (GNG) tasks into a single paradigm, in which the Go response of GNG was replaced by 2-Choice, for detection of toluene and acetone, which are odor indicators of lung cancer and diabetes, respectively. Three of six trained rats reached performance criterion, in 12 consecutive successful tests within a given set or over 12 sets with a success rate of over 90%. Through a total of 1300 tests, the trained animals (N = 3) showed multi-odor sensing performance with 88% accuracy, 87% sensitivity and 90% specificity. In addition, a dependence of behavior response time on odor concentrations under given concentration conditions was observed, suggesting that the system could be used for quantitative measurements. Furthermore, the animals' multi-odor sensing performance has lasted for 45 days, indicating long-term stability of the learned multi-odor discrimination. These findings demonstrate that multi-odor discrimination can be achieved by rat sniffing, potentially providing insight into the rapid, accurate and cost-effective multi-odor monitoring in the lung cancer and diabetes. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | MDPI | - |
dc.subject | OLFACTORY DETECTION | - |
dc.subject | POUCHED RATS | - |
dc.subject | TUBERCULOSIS | - |
dc.subject | DIAGNOSIS | - |
dc.title | Multi-Odor Discrimination by Rat Sniffing for Potential Monitoring of Lung Cancer and Diabetes | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Oh, Min-Kyu | - |
dc.identifier.doi | 10.3390/s21113696 | - |
dc.identifier.scopusid | 2-s2.0-85106397809 | - |
dc.identifier.wosid | 000660677500001 | - |
dc.identifier.bibliographicCitation | SENSORS, v.21, no.11 | - |
dc.relation.isPartOf | SENSORS | - |
dc.citation.title | SENSORS | - |
dc.citation.volume | 21 | - |
dc.citation.number | 11 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Instruments & Instrumentation | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Analytical | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Instruments & Instrumentation | - |
dc.subject.keywordPlus | OLFACTORY DETECTION | - |
dc.subject.keywordPlus | POUCHED RATS | - |
dc.subject.keywordPlus | TUBERCULOSIS | - |
dc.subject.keywordPlus | DIAGNOSIS | - |
dc.subject.keywordAuthor | multi-odor discrimination | - |
dc.subject.keywordAuthor | 2-choice | - |
dc.subject.keywordAuthor | no-go | - |
dc.subject.keywordAuthor | animal biosensor | - |
dc.subject.keywordAuthor | olfactory behavior | - |
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