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Title: PREDICTION OF THE CONTENTS OF LINEN/COTTON FABRIC BLENDS BY FT-NIR REFLECTANCE SPECTROSCOPY

Author
item Himmelsbach, David
item Akin, Danny
item Barton Ii, Franklin

Submitted to: Eastern Analytical Symposium
Publication Type: Abstract Only
Publication Acceptance Date: 7/10/2001
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: Fourier-transform near-infrared (FT-NIR) reflectance spectroscopy was used to predict the actual percent composition of linen/cotton blends of woven fabrics and slivers from textile spinning operations. Predictions were based on instrumental calibrations developed from both gravimetric measurement of mixed ground and/or separated fiber samples. Both natural and dyed fabric composition could be predicted from FT-NIR reflectance spectra collected using an integrating sphere detector. The prediction model was developed using a partial least squares regression. The selection of significant wavelengths was made by employing Martens' Uncertainty Test regression. The results provide a reliable method for the accurate and non-invasive analysis of fabric an sliver content.