Discrimination of Scrophulariae Radix according to geographical origin and determination of active constituents by near infrared spectroscopy (NIRS)

The potential of near infrared reflectance spectroscopy (NIR) was investigated for its ability to non-destructively discriminate the geographic origins of Scrophularia spp., Andong, Uisung and China. Application of principal component analysis to NIR spectra leads to a clear separation of Andong sam...

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Bibliographic Details
Published in:Microchemical journal 2011-11, Vol.99 (2), p.213-217
Main Authors: Lee, Dong Young, Kim, Seung Hyun, Kim, Young Choong, Kim, Hyo Jin, Sung, Sang Hyun
Format: Article
Language:English
Subjects:
Near infrared spectroscopy (NIRS)
Partial least squares (PLS) regression
Principal component analysis (PCA)
Scrophularia spp
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Summary:The potential of near infrared reflectance spectroscopy (NIR) was investigated for its ability to non-destructively discriminate the geographic origins of Scrophularia spp., Andong, Uisung and China. Application of principal component analysis to NIR spectra leads to a clear separation of Andong sample from the others. Moreover, the contents of two neuroprotective constituents of Scrophularia spp., 8-O-(E-p-methoxycinnamoyl)-harpagide (HG), and E-p-methoxycinnamic acid (MCA), were determined by HPLC-DAD. Partial least squares (PLS) regression of NIR spectra combined with these analytical reference data yield the development of calibration models for the contents of the two constituents. The correlation coefficients of prediction models for HG and MCA were >0.87. These outcomes indicated that the NIRS could be useful for the discrimination of Scrophularia spp.
ISSN:0026-265X
1095-9149
DOI:10.1016/j.microc.2011.05.008