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Title: Comparison of NIR and FT-IR spectral models in the prediction of cotton fiber strength

Author
item Liu, Yongliang
item Gamble, Gary
item Thibodeaux, Devron

Submitted to: National Cotton Council Beltwide Cotton Conference
Publication Type: Proceedings
Publication Acceptance Date: 1/11/2011
Publication Date: 4/21/2011
Citation: Liu, Y., Gamble, G.R., Thibodeaux, D.P. 2011. Comparison of NIR and FT-IR spectral models in the prediction of cotton fiber strength. Proceedings of National Cotton Council Beltwide Cotton Conference. p. 1219-1225.

Interpretive Summary: One of essential end-use qualities in cotton fibers is strength component which is related to the manufacturing of quality goods for consumers. In cotton industry, cotton strength has been mostly measured by automation-based high volume instrument (HVI) system. An alternative method to HVI testing is near infrared (NIR) spectroscopy, a useful technique due to the speed, ease of use, and adaptability to on-line or off-line implementation. Although previous NIR models have suggested the challenge in accurate and reliable prediction of strength quality, in this research we have reported a much improved NIR model for HVI strength if the calibration samples were pre-screened. As a different and complementary approach, the FT-IR model revealed that the capability of IR model on Stelometer strength is in good agreement with that of NIR model on HVI strength, verifying the acceptability of NIR technique in the robust and reliable model development for determining the cotton strength property. The outcome provides cotton fiber / textile engineers, researchers and regulators a new sight in applying both HVI and IR/NIR spectroscopy for rapid and routine determination of cotton strength quality.

Technical Abstract: Strength quality in cotton fibers is one of several important end-use characteristics. In routine programs, it has been mostly assessed by automation-oriented high volume instrument (HVI) system. An alternative method for cotton strength is near infrared (NIR) spectroscopy. Although previous NIR models have suggested the challenge in accurate and reliable prediction of HVI strength, in this research we have observed a much improved NIR model for HVI strength after applying the pre-screening procedure to determine appropriate calibration samples. As a complementary and validation approach, the FT-IR spectra were collected and subsequently correlated with cotton Stelometer strength. The results suggested that the capability of FT-IR model for Stelometer strength is in good agreement with that of NIR model for HVI strength, verifying the potential of NIR technique in robust, reliable and quantitative determination of cotton strength property.