Rapid authentication of Pseudostellaria heterophylla (Taizishen) from different regions by Raman spectroscopy coupled with chemometric methods

摘要: Abstract The quality of Pseudostellaria heterophylla depends on the growing area plants greatly. Compared with near infrared spectroscopy employed to discriminate geographic regions before, Raman signal is more obvious. So far, discrimination P. from different by has not yet been realized. Hence, coupled chemometric methods rapidly and effectively was studied. Original spectra in wavenumber range 4000–100 cm−1 were acquired. Then, a steady exact model, partial least squares discriminant analysis (PLS-DA), constructed. And competitive adaptive reweighted sampling (CARS) further used extract effective wavelength spectral characteristic variables. Results show that CARS-PLS-DA model an appropriate heterophylla, determination coefficient calibration (R2C), root mean square error cross validation (RMSECV), prediction (R2P), squared (RMSEP) are 0.9468, 0.1979, 0.9665, 0.1120, respectively. These results demonstrated built method useful regions, which provide new idea application rapid field test.