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.
Bibliographical noteFunding Information:
This study was supported by the grant of Bruker Optics Korea . The Author specially thanks Mr. Michael Verst, CEO of Bruker Optics Korea
All Science Journal Classification (ASJC) codes
- Analytical Chemistry