http://www.cnr.it/ontology/cnr/individuo/prodotto/ID262600
Identification of Wool, Cashmere, Yak, and Angora Rabbit Fibers and Quantitative Determination of Wool and Cashmere in Blend: a NIR Spectroscopy Study (Articolo in rivista)
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- Label
- Identification of Wool, Cashmere, Yak, and Angora Rabbit Fibers and Quantitative Determination of Wool and Cashmere in Blend: a NIR Spectroscopy Study (Articolo in rivista) (literal)
- Anno
- 2013-01-01T00:00:00+01:00 (literal)
- Alternative label
M. Zoccola, N. Lu, R. Mossotti, R. Innocenti, A. Montarsolo (2013)
Identification of Wool, Cashmere, Yak, and Angora Rabbit Fibers and Quantitative Determination of Wool and Cashmere in Blend: a NIR Spectroscopy Study
in Fibers And Polymers
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- M. Zoccola, N. Lu, R. Mossotti, R. Innocenti, A. Montarsolo (literal)
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- M. Zoccola, R. Mossotti, R. Innocenti, A. Montarsolo CNR ISMAC Biella
N. Lu Tesista Politecnico di Torino (literal)
- Titolo
- Identification of Wool, Cashmere, Yak, and Angora Rabbit Fibers and Quantitative Determination of Wool and Cashmere in Blend: a NIR Spectroscopy Study (literal)
- Abstract
- Abstract: Near infrared spectroscopy coupled with chemiometric analysis was investigated as a fast and non destructive
method for the identification of wool, cashmere, yak, and angora rabbit fibers in the raw and combed sliver state and for the
quantitative determination of cashmere in cashmere/wool blends. The main differences among spectra of different animal
hair arise from physical charateristics rather than chemical characteristics (mainly pigmentation and mean diameter) of
animal fibers. The Soft Independent Modelling by Class Analogy method allows the classification of distinct fibers into
separate groups with interclass distances ranging from 12.64 for the nearest classes (white cashmere and wool) to above 1000
for the most distant classes of white and pigmented fibers. Percentages of recognition and rejection of 100 % were found with
the exception of a yak sample that was not rejected from the pigmented cashmere class (98 % of rejection). The prediction
capacity of the model was also evaluated. Quantitative analysis was carried out using samples obtained by carefully mixing
known amounts of wool and white cashmere. A standard error of the estimate of 8.5, a standard error of prediction of 13.10
and a coefficient of determination of 0.95 were calculated. From the results obtained, it can be concluded that near infrared
spectroscopy can be used as a tool for an initial and rapid screening of unknown animal fiber samples in the raw and combed
sliver states and for a fast and coarse estimate of the amount of cashmere in wool/cashmere blends. (literal)
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