{"title":"模型奶酪系统中蛋白质的拉曼成像","authors":"E. Nickless, S. Holroyd","doi":"10.1255/jsi.2020.a9","DOIUrl":null,"url":null,"abstract":"Raman confocal microscopy is an increasingly useful technique when applied to food samples; it has the unique ability to interrogate the chemical structure, aligned with the same confocality capability that is available when using standard confocal microscopy. In this research, we investigated the potential of Raman confocal microscopy to investigate the components in a model cheese system. We showed an ability to distinguish whey protein particles within the casein protein matrix using several different image analysis approaches. The results illustrate the potential of Raman confocal microscopy and imaging to understand the chemical and microstructural features of cheese systems via the analysis of the distribution of the protein types in complex dairy matrices.","PeriodicalId":37385,"journal":{"name":"Journal of Spectral Imaging","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Raman imaging of protein in a model cheese system\",\"authors\":\"E. Nickless, S. Holroyd\",\"doi\":\"10.1255/jsi.2020.a9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Raman confocal microscopy is an increasingly useful technique when applied to food samples; it has the unique ability to interrogate the chemical structure, aligned with the same confocality capability that is available when using standard confocal microscopy. In this research, we investigated the potential of Raman confocal microscopy to investigate the components in a model cheese system. We showed an ability to distinguish whey protein particles within the casein protein matrix using several different image analysis approaches. The results illustrate the potential of Raman confocal microscopy and imaging to understand the chemical and microstructural features of cheese systems via the analysis of the distribution of the protein types in complex dairy matrices.\",\"PeriodicalId\":37385,\"journal\":{\"name\":\"Journal of Spectral Imaging\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Spectral Imaging\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1255/jsi.2020.a9\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Chemistry\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Spectral Imaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1255/jsi.2020.a9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Chemistry","Score":null,"Total":0}
Raman confocal microscopy is an increasingly useful technique when applied to food samples; it has the unique ability to interrogate the chemical structure, aligned with the same confocality capability that is available when using standard confocal microscopy. In this research, we investigated the potential of Raman confocal microscopy to investigate the components in a model cheese system. We showed an ability to distinguish whey protein particles within the casein protein matrix using several different image analysis approaches. The results illustrate the potential of Raman confocal microscopy and imaging to understand the chemical and microstructural features of cheese systems via the analysis of the distribution of the protein types in complex dairy matrices.
期刊介绍:
JSI—Journal of Spectral Imaging is the first journal to bring together current research from the diverse research areas of spectral, hyperspectral and chemical imaging as well as related areas such as remote sensing, chemometrics, data mining and data handling for spectral image data. We believe all those working in Spectral Imaging can benefit from the knowledge of others even in widely different fields. We welcome original research papers, letters, review articles, tutorial papers, short communications and technical notes.