Rapid Quantitative Analysis of Corn Starch Adulteration in Konjac Glucomannan by Chemometrics-Assisted FT-NIR Spectroscopy

Content Provider	Semantic Scholar
Author	Zhong, Jinfeng Qin, Xiaoli
Copyright Year	2015
Abstract	Konjac glucomannan (KGM) adulterated with cheaper starch cannot easily be identified by visual inspection. This study proposed a rapid and simple method to quantitatively analyze corn starch adulteration in KGM by a Fourier transform near-infrared (FT-NIR) coupled with chemometrics. The partial least-squares (PLS) regression calibration models based on the FT-NIR were designed using 90 samples. Coefficient of determination (Rc2) and root-mean-square error of PLS regression models in calibration set were found to be 0.982–0.990 and 3.596–2.693 % depending on the pretreatments of spectral data, respectively. The other 45 samples were used in the validation (30 samples) and external validation (15 samples) sets. Model 3 (using first derivative with 7 smoothing points) in the validation set yielded satisfactory performance with an Rv2 value and root-mean-square error of prediction of 0.989 and 4.890 %, respectively. The overall results indicate that FT-NIR spectroscopy could be a simple and efficient tool for the detection and quantification of the KGM adulterated with corn starch.
Starting Page	61
Ending Page	67
Page Count	7
File Format	PDF HTM / HTML
DOI	10.1007/s12161-015-0176-9
Volume Number	9
Alternate Webpage(s)	http://pdf.xuebalib.com:1262/xuebalib.com.42817.pdf
Alternate Webpage(s)	https://doi.org/10.1007/s12161-015-0176-9
Journal	Food Analytical Methods
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article