Research Article

Rapid Characterization of Tanshinone Extract Powder by Near Infrared Spectroscopy

Table 9

The best preprocessing methods for near infrared spectra of the least squares support vector machine model for different quality attributes.

IndexProcessing methodgamsig2Calibration set Validation set
BIAScalRMSEPRPDBIASpre

Cc/mg·g−1S-G 1st 2299.6501950.99809.3 × 10−40.99850.0020156.5 × 10−4
IIA/mg·g−1S-G smooth150425963.30.99966.9 × 10−40.99780.0010127.2 × 10−4
SSA/m2·g−1Normalization 17.47492541.40.92070.0230.96610.0172.50.016
/mS-G 1st 212.184476.90.99080.420.97230.673.20.49
/mRaw 25.8302222.90.96043.90.97953.14.32.69
/mNormalization 1928.52106.50.98353.80.92767.82.75.8
/g·cm−3S-g smooth6.9355111.630.98510.0110.88750.0202.20.018
Moisture/%Baseline 2042.31970.50.89000.280.93360.302.90.25

Gam and sig2 are two tuned hyperparameters of LS-SVM model. and represent correlation coefficient for calibration and validation sets, respectively. RMSEP represents the root mean square error of prediction. BIAScal and BIASpre represent bias for calibration and validation, respectively. RPD means relative predictive deviation.
Cc and IIA mean the content of cryptotanshinone and tanshinone IIA, respectively. SSA, mean specific surface area and tapped density, respectively. The , and values represent the maximal particle size diameters that include 10%, 50% and 90% of the particles, respectively.