S. Vucāne, I. Cinkmanis, Lauris Leitans, M. Sabovics
{"title":"利用智能手机图像检测植物油的真伪","authors":"S. Vucāne, I. Cinkmanis, Lauris Leitans, M. Sabovics","doi":"10.22616/rrd.28.2022.018","DOIUrl":null,"url":null,"abstract":"Chlorophylls, tocopherols, and phenolic compounds are fluorescent substances found in vegetable oils. As a result, fluorescence analysis can be used to authenticate vegetable oils in a simple, effective, and non-destructive manner. The goal of the study was to determine the authenticity of vegetable oil using smartphone-based image analysis in fluorescence light. The image was taken with a Huawei P30 Lite and saved as an 8-bit JPG file. Mactronic PHH0062 390 nm-LED flashlight was employed as a light source. Due to the Hue spectral histograms, the image was analyzed in the HSV (Hue, Saturation, Value) color model. Eleven vegetable oils were chosen for testing: sea buckthorn, sunflower, rice, macadamia nut, hemp, corn, grape, linseed, rapeseed, olive, and milk thistle. Because vegetable oils have a diverse Hue spectrum, fluorescence examination can be used to verify their authenticity.","PeriodicalId":226281,"journal":{"name":"Research for Rural Development 2022 : annual 28th International scientific conference proceedings","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The authenticity of vegetable oil using smartphone-based image\",\"authors\":\"S. Vucāne, I. Cinkmanis, Lauris Leitans, M. Sabovics\",\"doi\":\"10.22616/rrd.28.2022.018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Chlorophylls, tocopherols, and phenolic compounds are fluorescent substances found in vegetable oils. As a result, fluorescence analysis can be used to authenticate vegetable oils in a simple, effective, and non-destructive manner. The goal of the study was to determine the authenticity of vegetable oil using smartphone-based image analysis in fluorescence light. The image was taken with a Huawei P30 Lite and saved as an 8-bit JPG file. Mactronic PHH0062 390 nm-LED flashlight was employed as a light source. Due to the Hue spectral histograms, the image was analyzed in the HSV (Hue, Saturation, Value) color model. Eleven vegetable oils were chosen for testing: sea buckthorn, sunflower, rice, macadamia nut, hemp, corn, grape, linseed, rapeseed, olive, and milk thistle. Because vegetable oils have a diverse Hue spectrum, fluorescence examination can be used to verify their authenticity.\",\"PeriodicalId\":226281,\"journal\":{\"name\":\"Research for Rural Development 2022 : annual 28th International scientific conference proceedings\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Research for Rural Development 2022 : annual 28th International scientific conference proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22616/rrd.28.2022.018\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research for Rural Development 2022 : annual 28th International scientific conference proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22616/rrd.28.2022.018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The authenticity of vegetable oil using smartphone-based image
Chlorophylls, tocopherols, and phenolic compounds are fluorescent substances found in vegetable oils. As a result, fluorescence analysis can be used to authenticate vegetable oils in a simple, effective, and non-destructive manner. The goal of the study was to determine the authenticity of vegetable oil using smartphone-based image analysis in fluorescence light. The image was taken with a Huawei P30 Lite and saved as an 8-bit JPG file. Mactronic PHH0062 390 nm-LED flashlight was employed as a light source. Due to the Hue spectral histograms, the image was analyzed in the HSV (Hue, Saturation, Value) color model. Eleven vegetable oils were chosen for testing: sea buckthorn, sunflower, rice, macadamia nut, hemp, corn, grape, linseed, rapeseed, olive, and milk thistle. Because vegetable oils have a diverse Hue spectrum, fluorescence examination can be used to verify their authenticity.