Journal of Zhejiang University SCIENCE
(ISSN 1009-3095, Monthly)

2005   Vol. 6B   No. 8   p.838-843

            [ Home Page ] | [ PDF Full Text ]   On-line Access Date:   July 29, 2005

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

QU Hai-bin, OU Dan-lin, CHENG Yi-yu†‡

(Pharmaceutical Informatics Institute, Zhejiang University, Hangzhou 310027, China)
 †E-mail: chengyy@zju.edu.cn
Received Jan. 17, 2005; revision accepted Apr. 30, 2005

Abstract: 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.

Key words: Background correction, Plant extracts, Orthogonal signal correction, Near-infrared spectroscopy
doi:10.1631/jzus.2005.B0838             CLC number: TQ461

‡ Corresponding Author