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Sensors 2017, 17(7), 1469; doi:10.3390/s17071469

Fourier Transform Infrared Spectroscopy (FT-IR) and Simple Algorithm Analysis for Rapid and Non-Destructive Assessment of Developmental Cotton Fibers

1
Cotton Structure & Quality Research Unit, United States Department of Agriculture (USDA), Agricultural Research Service (ARS), New Orleans, LA 70124, USA
2
Cotton Fiber Bioscience Research Unit, United States Department of Agriculture (USDA), Agricultural Research Service (ARS), New Orleans, LA 70124, USA
*
Author to whom correspondence should be addressed.
Received: 15 May 2017 / Revised: 16 June 2017 / Accepted: 20 June 2017 / Published: 22 June 2017
(This article belongs to the Section Chemical Sensors)
View Full-Text   |   Download PDF [3286 KB, uploaded 22 June 2017]   |  

Abstract

With cotton fiber growth or maturation, cellulose content in cotton fibers markedly increases. Traditional chemical methods have been developed to determine cellulose content, but it is time-consuming and labor-intensive, mostly owing to the slow hydrolysis process of fiber cellulose components. As one approach, the attenuated total reflection Fourier transform infrared (ATR FT-IR) spectroscopy technique has also been utilized to monitor cotton cellulose formation, by implementing various spectral interpretation strategies of both multivariate principal component analysis (PCA) and 1-, 2- or 3-band/-variable intensity or intensity ratios. The main objective of this study was to compare the correlations between cellulose content determined by chemical analysis and ATR FT-IR spectral indices acquired by the reported procedures, among developmental Texas Marker-1 (TM-1) and immature fiber (im) mutant cotton fibers. It was observed that the R value, CIIR, and the integrated intensity of the 895 cm−1 band exhibited strong and linear relationships with cellulose content. The results have demonstrated the suitability and utility of ATR FT-IR spectroscopy, combined with a simple algorithm analysis, in assessing cotton fiber cellulose content, maturity, and crystallinity in a manner which is rapid, routine, and non-destructive. View Full-Text
Keywords: Fourier transform infrared spectroscopy; attenuated total reflection; cellulose; fiber secondary cell wall biosynthesis; principal component analysis; algorithm analysis Fourier transform infrared spectroscopy; attenuated total reflection; cellulose; fiber secondary cell wall biosynthesis; principal component analysis; algorithm analysis
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Liu, Y.; Kim, H.-J. Fourier Transform Infrared Spectroscopy (FT-IR) and Simple Algorithm Analysis for Rapid and Non-Destructive Assessment of Developmental Cotton Fibers. Sensors 2017, 17, 1469.

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