Table 1.
PRR information table of different origin.
Fig 1.
Three-dimensional fluorescence spectra of PRR samples.
(A) Contour map of three-dimensional fluorescence spectra of PRR. (B) Superimposed spectra of the components of PRR after factorization. Spectra of the sample before and after deduction of 3D fluorescence background and scattering. (C) 3D fluorescence spectra before treatment. (D) Processed by blanking deduction and scattering deduction algorithms.
Fig 2.
Three-dimensional fluorescence spectral contour map of PRR samples (left).
Excitation and emission spectra superimposed (right). (a) Three-dimensional fluorescence spectra of methanol aqueous solution. (b-h) PRR samples (Heilongjiang, Greater Khingan Mountains, Inner Mongolia, Liaoning, Hebei, Gansu, Sichuan)..
Fig 3.
Three-dimensional fluorescence factor decomposition component spectra of the samples.
(a) Excitation spectra of components (qualitative). (b) Corresponding emission spectra (qualitative). (c) The intensity distribution of different components in each sample (quantitative). (d) Factorization iterative residual plot.
Fig 4.
Principal component analysis score-loading plot.
(a) Paepniae Radix of different origins PCA two Dimensional figure. (b) Paepniae Radix of different origins PCA Three-Dimensional figure.
Fig 5.
Sectoral clustering of three-dimensional fluorescence characterization factors of PRR samples from different origins.
Table 2.
Model identification test set prediction grouping.
Fig 6.
Confusion matrix of model prediction results.
Table 3.
Statistics of random forest model pattern recognition results of samples.
Fig 7.
Sample pattern recognition cross-validation set confusion matrix.
Table 4.
Statistics of model identification results.
Fig 8.
Prediction of samples from different botanical origins of PL and PV.
(a) PL from different origins samples of model pattern recognition cross-validation results. (b) PL and PV samples’ model pattern recognition cross-validation results. (c) Confusion matrix for model prediction results. (d) Decision tree topology diagram schematic flow.
Fig 9.
PL and PV PLS-DA pattern recognition score plots.
(a) Three-Dimensional figure. PL and PV PCA pattern recognition score plots. (b) Three-Dimensional figure.