T. Kurabayashi, Takuya Inoue, Haruka Iguchi, S. Yodokawa, Takeshi Ando, S. Kosaka
{"title":"Identification of fabric fibers and their blending ratio by terahertz spectroscopy","authors":"T. Kurabayashi, Takuya Inoue, Haruka Iguchi, S. Yodokawa, Takeshi Ando, S. Kosaka","doi":"10.1109/IRMMW-THZ.2015.7327647","DOIUrl":null,"url":null,"abstract":"Absorption spectra of cellulosic fibers in THz region show discriminative absorptions which are derived from crystallized cellulose, when we prepare the samples by cutting at a length of about 0.1-0.2 mm. The blending ratio of two different kinds of fibers has been examined by using this method, and the spectra were analyzed by an analysis of principal component as a multiple classification analysis after the first derivation of the spectra. The result means the blending ratio can be identified with considerable accuracy at a few percent of reliability.","PeriodicalId":6577,"journal":{"name":"2015 40th International Conference on Infrared, Millimeter, and Terahertz waves (IRMMW-THz)","volume":"115 1","pages":"1-2"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 40th International Conference on Infrared, Millimeter, and Terahertz waves (IRMMW-THz)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRMMW-THZ.2015.7327647","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Absorption spectra of cellulosic fibers in THz region show discriminative absorptions which are derived from crystallized cellulose, when we prepare the samples by cutting at a length of about 0.1-0.2 mm. The blending ratio of two different kinds of fibers has been examined by using this method, and the spectra were analyzed by an analysis of principal component as a multiple classification analysis after the first derivation of the spectra. The result means the blending ratio can be identified with considerable accuracy at a few percent of reliability.