Non-contact identification of essential oils with IR sensors and analysis of components with an electronic nose

dc.authoridYavuzer, Emre/0000-0002-9192-713X
dc.contributor.authorYavuzer, E.
dc.contributor.authorYalcin, M. K.
dc.contributor.authorUslu, H.
dc.contributor.authorKose, M.
dc.date.accessioned2024-11-07T13:31:25Z
dc.date.available2024-11-07T13:31:25Z
dc.date.issued2024
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractIn this study, the odour values of rosemary, mint, black cumin, lavender, and thyme oils were determined by an electronic nose working with an Arduino microprocessor. The components of the plants were compared with the sensor data, and the most sensitive sensors were determined by sorting according to the highest components. The study data indicated that the MQ3 sensor exhibited the highest sensitivity for thyme, black cumin, and lavender oils, which contain 63% carvacrol, 38% thymoquinone, and 36% linalool, respectively. Also, MQ7 was the most sensitive sensor for menthone (68%) in mint oil and eucalyptol (45%) in rosemary oil. In addition, a low-cost and non-contact device that works with an infrared sensor has been developed to detect the identity of the oil added into the vial. The study data showed that low-cost Arduino-based IR and odour sensors can determine the identity and component percentage of oils. The fact that the developed device can detect with 100 percent accuracy even in case of peppermint and rosemary oils, which are very similar in appearance, shows that the study data will be an inspiration for contactless determination of oil quality and type.
dc.identifier.doi10.1556/066.2024.00117
dc.identifier.endpage486
dc.identifier.issn0139-3006
dc.identifier.issn1588-2535
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85203384910
dc.identifier.scopusqualityQ3
dc.identifier.startpage474
dc.identifier.urihttps://doi.org/10.1556/066.2024.00117
dc.identifier.urihttps://hdl.handle.net/11480/14842
dc.identifier.volume53
dc.identifier.wosWOS:001306626700013
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherAkademiai Kiado Zrt
dc.relation.ispartofActa Alimentaria
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241106
dc.subjecte-nose for oils
dc.subjectIR sensors
dc.subjectessential oils identification
dc.subjectfi cation
dc.subjectelectronic eyes
dc.titleNon-contact identification of essential oils with IR sensors and analysis of components with an electronic nose
dc.typeArticle

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