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CLC number: TQ461

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Received: 2005-01-17

Revision Accepted: 2005-04-30

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Journal of Zhejiang University SCIENCE B 2005 Vol.6 No.8 P.838-843


Background correction in near-infrared spectra of plant extracts by orthogonal signal correction

Author(s):  QU Hai-bin, OU Dan-lin, CHENG Yi-yu

Affiliation(s):  Pharmaceutical Informatics Institute, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   chengyy@zju.edu.cn

Key Words:  Background correction, Plant extracts, Orthogonal signal correction, Near-infrared spectroscopy

QU Hai-bin, OU Dan-lin, CHENG Yi-yu. Background correction in near-infrared spectra of plant extracts by orthogonal signal correction[J]. Journal of Zhejiang University Science B, 2005, 6(8): 838-843.

@article{title="Background correction in near-infrared spectra of plant extracts by orthogonal signal correction",
author="QU Hai-bin, OU Dan-lin, CHENG Yi-yu",
journal="Journal of Zhejiang University Science B",
publisher="Zhejiang University Press & Springer",

%0 Journal Article
%T Background correction in near-infrared spectra of plant extracts by orthogonal signal correction
%A QU Hai-bin
%A OU Dan-lin
%A CHENG Yi-yu
%J Journal of Zhejiang University SCIENCE B
%V 6
%N 8
%P 838-843
%@ 1673-1581
%D 2005
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2005.B0838

T1 - Background correction in near-infrared spectra of plant extracts by orthogonal signal correction
A1 - QU Hai-bin
A1 - OU Dan-lin
A1 - CHENG Yi-yu
J0 - Journal of Zhejiang University Science B
VL - 6
IS - 8
SP - 838
EP - 843
%@ 1673-1581
Y1 - 2005
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2005.B0838

In near-infrared (NIR) analysis of plant extracts, excessive background often exists in near-infrared spectra. The detection of active constituents is difficult because of excessive background, and correction of this problem remains difficult. In this work, the orthogonal signal correction (OSC) method was used to correct excessive background. The method was also compared with several classical background correction methods, such as offset correction, multiplicative scatter correction (MSC), standard normal variate (SNV) transformation, de-trending (DT), first derivative, second derivative and wavelet methods. A simulated dataset and a real NIR spectral dataset were used to test the efficiency of different background correction methods. The results showed that OSC is the only effective method for correcting excessive background.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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