1988
DOI: 10.1080/00405008808658283
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Quantitative Near-infra-red Analysis of Reducing Sugar from the Surface of Cotton

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Cited by 22 publications
(11 citation statements)
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“…Many NIR instruments have been commercialized to identify the natural and synthetic fibers, such as cotton, rayon, nylon, polyester, and poly(vinyl alcohol) [2]. Ghosh and Roy [3] used homologs of cotton to develop a calibration equation for monitoring the sugar content in cotton; Gosh and Rodgers [4] and Tincher et al [5] investigated the heatset temperature of nylon carpet and its heat history using NIR spectroscopy. By using advanced diagnostic statistics and computer programs, Richard et al [6] and Jasper and Kovacs [7] demonstrated the qualitative classification of various natural and synthetic fibers to reveal subtle differences among NIR spectra in the set of samples.…”
Section: Introductionmentioning
confidence: 99%
“…Many NIR instruments have been commercialized to identify the natural and synthetic fibers, such as cotton, rayon, nylon, polyester, and poly(vinyl alcohol) [2]. Ghosh and Roy [3] used homologs of cotton to develop a calibration equation for monitoring the sugar content in cotton; Gosh and Rodgers [4] and Tincher et al [5] investigated the heatset temperature of nylon carpet and its heat history using NIR spectroscopy. By using advanced diagnostic statistics and computer programs, Richard et al [6] and Jasper and Kovacs [7] demonstrated the qualitative classification of various natural and synthetic fibers to reveal subtle differences among NIR spectra in the set of samples.…”
Section: Introductionmentioning
confidence: 99%
“…The correlation between the spectra of Phalaenopsis powder and the carbohydrates was first assessed when selecting specific wavelength regions of the spectra. The absorption bands corresponding to carbohydrates have been reported in previous studies (Chang et al, 1998;Ghosh and Roy, 1988;Giangiacomo, 2006;Giangiacomo et al, 1981;Li et al, 2015;Rambla et al, 1997). The absorption band at 2270 nm was found to be suitable for estimating fructose, glucose, and sucrose (Chang et al, 1998).…”
Section: Resultsmentioning
confidence: 55%
“…The absorption band at 2270 nm was found to be suitable for estimating fructose, glucose, and sucrose (Chang et al, 1998). Absorption bands close to 1380,1433,1450,1469,1580,1740,1945,2080,2250, and 2370 nm were correlated with fructose (Ghosh and Roy, 1988;Giangiacomo, 2006;Giangiacomo et al, 1981). Absorption bands near 1433,1520,1590,1730,1902,1950, and 2255 nm were correlated with glucose (Ghosh and Roy, 1988;Giangiacomo, 2006).…”
Section: Resultsmentioning
confidence: 88%
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“…It has been successfully applied for the quantification of reducing sugars on the cotton surface and for the prediction of cotton colour and physical attributes. [21][22][23][24][25][26][27][28] considering the unique nature of trash in cotton, few nIr studies have been conducted and the results obtained have raised challenges. for example, thomasson and Shearer 21 reported the optimal nIr models for eight cotton quality characteristics and observed the lowest r 2 value (0.60) for trash components.…”
Section: Introductionmentioning
confidence: 99%