Your browser doesn't support javascript.
loading
Discrimination of cellulose fabrics using infrared spectroscopy and newly developed discriminant analysis.
Saito, Kengo; Yamagata, Toru; Kanno, Manami; Yoshimura, Norio; Takayanagi, Masao.
Afiliación
  • Saito K; Graduate School of Agriculture, Tokyo University of Agriculture and Technology, 3-5-8, Saiwai-cho, Fuchu, Tokyo 183-8509, Japan.
  • Yamagata T; Graduate School of Agriculture, Tokyo University of Agriculture and Technology, 3-5-8, Saiwai-cho, Fuchu, Tokyo 183-8509, Japan.
  • Kanno M; Tokyo Laboratory, Nissenken Quality Evaluation Center, 2-16-11, Kuramae, Taito, Tokyo 111-0051, Japan.
  • Yoshimura N; United Graduate School of Agricultural Science, Tokyo University of Agriculture and Technology 3-5-8, Saiwai-cho, Fuchu, Tokyo 183-8509, Japan.
  • Takayanagi M; United Graduate School of Agricultural Science, Tokyo University of Agriculture and Technology 3-5-8, Saiwai-cho, Fuchu, Tokyo 183-8509, Japan. Electronic address: masaot@cc.tuat.ac.jp.
Spectrochim Acta A Mol Biomol Spectrosc ; 257: 119772, 2021 Aug 05.
Article en En | MEDLINE | ID: mdl-33887512
ABSTRACT
Identifying cellulose fibers in fabric products is necessary for quality control and appropriate distribution but can be difficult because of their similarities. A novel technique to identify cellulose fabrics has been developed that uses infrared spectroscopy with the attenuated total reflection (ATR) method, evaluated with an improved Fisher's discriminant analysis including regularization coefficients and orthogonal decompositions. Sequential discrimination of six different types of cellulose fibers -cotton, ramie, and linen, which are natural fibers, and rayon, cupra, and lyocell, which are regenerated fibers- was achieved using the new technique.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Spectrochim Acta A Mol Biomol Spectrosc Asunto de la revista: BIOLOGIA MOLECULAR Año: 2021 Tipo del documento: Article País de afiliación: Japón

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Spectrochim Acta A Mol Biomol Spectrosc Asunto de la revista: BIOLOGIA MOLECULAR Año: 2021 Tipo del documento: Article País de afiliación: Japón
...