NDLI: Determination of the contents of magnesium and potassium in rapeseeds using FTIR-PAS combined with least squares support vector machines and uninformative variable elimination

Content Provider	Royal Society of Chemistry (RSC)
Author	Lu, Yuzhen Yu, Changbing Zhou, Jianmin Du, Changwen
Copyright Year	2014
Abstract	Fourier transform mid-infrared photoacoustic spectroscopy (FTIR-PAS) was employed to determine the contents of magnesium and potassium in rapeseeds. A total of 180 samples were collected for this purpose. A Savitzky–Golay filter was used for the spectral pretreatment. The whole sample set was divided into calibration and prediction sets composed of 135 and 45 samples, respectively. To build calibration models, partial least squares (PLS), least squares support vector machines (LS-SVM) and least squares support vector machines combined with uninformative variable elimination (UVE-LS-SVM) were used. The best results for quantification of both magnesium and potassium were achieved by UVE-LS-SVM models compared to the PLS models. The highest values of RPD (ratio of percentage deviation) were 2.5 and 2.25 for the prediction of magnesium and potassium, respectively. This work verified the good promise of FTIR-PAS combined with LS-SVM to quantify mineral nutrients of rapeseeds.
Starting Page	2586
Ending Page	2591
Page Count	6
File Format	HTM / HTML PDF
ISSN	17599660
Volume Number	6
Issue Number	8
Journal	Analytical Methods
DOI	10.1039/c3ay41460d
Language	English
Publisher	Royal Society of Chemistry
Access Restriction	Open
Subject Keyword	Golay Mineral Variable elimination Fourier Euclidean vector Savitzky\u2013Golay filter Fourier transform Photoacoustic spectroscopy Magnesium RPD machine gun Savitzky Potassium
Content Type	Text
Resource Type	Article
Subject	Analytical Chemistry Engineering Chemical Engineering

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