Luna Shrestha, R. Moscetti, S. Crichton, O. Hensel, B. Sturm
{"title":"有机苹果(cv。利用可见光/近红外高光谱成像技术评价热风干燥过程中的Elstar质量","authors":"Luna Shrestha, R. Moscetti, S. Crichton, O. Hensel, B. Sturm","doi":"10.4995/IDS2018.2018.7689","DOIUrl":null,"url":null,"abstract":"Organic dried apples are common snacks fulfilling functional as well as nutritional aspects. However, appearance of dried slices does not always satisfy consumer requirements, thus, improvements are needed. In this study, partial least squares (PLS) regression models were successfully developed to monitor changes in colour and moisture content in apple slices during the drying process over the Vis/NIR spectral range. The regression vector analysis results suggested that features at 580, 750 and 970 nm are better for predicting moisture content, while 580 and 680 nm allow to measure the (a*/b*) colour ratio. Keywords: Drying; Dried apple slices; Moisture content; Colour; PLSR modelling","PeriodicalId":107148,"journal":{"name":"Proceedings of 21th International Drying Symposium","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Organic apples (cv. Elstar) quality evaluation during hot-air drying using Vis/NIR hyperspectral imaging\",\"authors\":\"Luna Shrestha, R. Moscetti, S. Crichton, O. Hensel, B. Sturm\",\"doi\":\"10.4995/IDS2018.2018.7689\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Organic dried apples are common snacks fulfilling functional as well as nutritional aspects. However, appearance of dried slices does not always satisfy consumer requirements, thus, improvements are needed. In this study, partial least squares (PLS) regression models were successfully developed to monitor changes in colour and moisture content in apple slices during the drying process over the Vis/NIR spectral range. The regression vector analysis results suggested that features at 580, 750 and 970 nm are better for predicting moisture content, while 580 and 680 nm allow to measure the (a*/b*) colour ratio. Keywords: Drying; Dried apple slices; Moisture content; Colour; PLSR modelling\",\"PeriodicalId\":107148,\"journal\":{\"name\":\"Proceedings of 21th International Drying Symposium\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 21th International Drying Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4995/IDS2018.2018.7689\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 21th International Drying Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4995/IDS2018.2018.7689","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Organic apples (cv. Elstar) quality evaluation during hot-air drying using Vis/NIR hyperspectral imaging
Organic dried apples are common snacks fulfilling functional as well as nutritional aspects. However, appearance of dried slices does not always satisfy consumer requirements, thus, improvements are needed. In this study, partial least squares (PLS) regression models were successfully developed to monitor changes in colour and moisture content in apple slices during the drying process over the Vis/NIR spectral range. The regression vector analysis results suggested that features at 580, 750 and 970 nm are better for predicting moisture content, while 580 and 680 nm allow to measure the (a*/b*) colour ratio. Keywords: Drying; Dried apple slices; Moisture content; Colour; PLSR modelling