期刊
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS
卷 50, 期 5, 页码 803-808出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.jpba.2009.06.040
关键词
Radix Pseudostellariae; Free amino acid content; Near infrared (NIR) spectroscopy; Multivariate calibration
资金
- National Natural Science Foundation of PR China [30800666]
- National High Technology Research and Development Program of China [2006AAlOZ263]
Near infrared (NIR) spectroscopy combined with multivariate calibration was attempted to analyze free amino acid content of Radix Pseudostellariae. The original spectra of Pseudostellariae samples in wavelength range of 10000-4000cm(-1) were acquired. Partial least squares (PLS), kernel PLS (k-PLS), back propagation neural network (BP-NN), and support vector regression (SVR) algorithms were performed comparatively to develop calibration models. Some parameters of the calibration models were optimized by cross-validation. The performance of BP-NN model was better than PLS, k-PLS, and SVR models. The root mean square error of prediction (RMSEP) and the correlation coefficient (R) of BP-NN model were 0.687 and 0.889 in prediction set respectively. Results showed that NIR spectroscopy combined with multivariate calibration has significant potential in quantitative analysis of free amino acid content in Radix Pseudostellariae. (C) 2009 Elsevier B.V. All rights reserved.
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