A method of fast determining active components of Chinese herb extracts by near infrared (NIR) spectroscopy

which can be used for on-line analysis of percolation extracting process

is proposed and applied to percolation extracting panax notoginseng herb as an example. Reference measurements of ginsenoside Rg1

Rb1

and Rd were performed by HPLC

and panax notoginseng saponins (PNS) were determined according to the colorimetric assays. The calibration model between NIR spectra and reference values was set up. Radial basis function neural networks(RBFNN) and partial least squares regression(PLSR) were studied comparatively to establish the calibration model.By using RBFNN

RMSECVs for Rg1

Rb1

Rd

PNS were 1.120

1.230

0.267

4.749 and RMSEPs were 0.677

0.969

0.155

8.065

respectively. The results show that the present method is convenient

accurate and non-destructive

and can be applied for process analysis and quality control of Chinese medicine manufacturing process.