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Improving NIR Model for the Prediction of Cotton Fiber Strength

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  2011 Louisville, Kentucky, August 7-10, 2011  1110547.(doi:10.13031/2013.37224)
Authors:   Yongliang Liu, Gary Gamble, Devron Thibodeaux
Keywords:   Near infrared spectroscopy NIR Cotton fiber strength HVI strength Stelometer strength Cotton quality Infrared spectroscopy

Cotton fiber strength is an important quality characteristic that is directly related to the manufacturing of quality consumer goods. Currently, two types of instruments have been implemented to assess cotton fiber strength, namely, the automation oriented high volume instrument (HVI) and the laboratory based Stelometer. Each has unique merits but correlation between two readings was reported to be relatively low. Nevertheless, two strength values from two independent testing should be highly correlated. This concept could be applied to determine the appropriate samples in calibration set, prior to develop NIR model on HVI strength. For the first time, we proposed a pre-screening procedure to determine appropriate calibration samples in NIR models. As a validation and complementary approach, the FT-IR spectra were collected on small broken Stelometer specimens (~0.4 mg) and correlated with cotton Stelometer strength. The results suggested that the capability of NIR model on HVI strength is in good agreement with that of FT-IR model on Stelometer strength, verifying the potential of NIR technique in robust, reliable and quantitative determination of HVI strength.

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