| 光谱学与光谱分析 |
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| A New Approach to the Fast Measurement of Content of Amino Acids in Cordyceps Sinensis by ANN-NIR |
| ZHAO Chen, QU Hai-bin, CHENG Yi-yu |
| Department of Chinese Medicine Science and Engineering, Zhejiang University, Hangzhou 310027, China |
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Abstract A new method for fast determining the content of amino acid in Cordyceps sinensis by means of near infrared (NIR) spectroscopy was developed. Colorimetry was first employed to measure the actual content of amino acid in Cordyceps sinensis． BP neural network was introduced to model the quantitative correlations between the NIR spectra and the contents of glycine, arginine and total amino acid. By comparing several preprocessing procedures and wavelength ranges, the optimal models could be obtained in the range of 7 501.7-6 097.8 cm-1 and 5 453.7-4 246.5 cm-1 with first derivative NIR spectra. Standard errors of prediction set (RMSEP) for glycine, arginine and total amino acid were 0.08, 0.07 and 0.36, respectively. The ultimate eｘperimental results indicated that the proposed artificial neural networｋ model was far superior to those of partial least sｑuare regression(PLS) and principal component regression(PCR)． As an effective nonlinear multivariate calibration strategy, this paper could offer a new approach to the fast measurement of content of chemical components in traditional Chinese medicine by NIR spectroscopy.
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Received: 2002-10-13
Accepted: 2003-02-26
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Corresponding Authors:
CHENG Yi-yu
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| Cite this article: |
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ZHAO Chen,QU Hai-bin,CHENG Yi-yu. A New Approach to the Fast Measurement of Content of Amino Acids in Cordyceps Sinensis by ANN-NIR [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2004, 24(01): 50-53.
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| URL: |
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http://www.gpxygpfx.com/EN/Y2004/V24/I01/50 |
[1] Sanchez M S, Bertran E, Sarabia L A et al. Chemometrics and Intelligent Laboratory Systems, 2000, 53: 69.
[2] Blanco M, Pages J. Analytica Chimica Acta, 2002, 463: 295.
[3] LU Wan-zhen et al(陆婉珍等). Modern Analysis Technique of NIR(现代近红外光谱分析技术). Beijing(北京): Sinica Petrochemistry Press(中国石化出版社), 2000. 105.
[4] Blanco M, Coello J, Iturriaga H et al. Chemometrics and Intelligent Laboratory Systems, 2000, 50: 75.
[5] Daniel Guyer, Yang Xiukun. Computers and Electronics Agriculture, 2000, 29: 179.
[6] Jukka Rantanen, Eetu Rasanen, Osmo Antikainen et al. Chemometrics and Intelligent Laboratory Systems, 2001, 56: 51.
[7] Zupan J, Gasteiger J. Neural Network and Its Application to Chemistry(神经网络及其在化学中的应用), Hefei(合肥): Sinica Science and Technology University Press(中国科技大学出版社), 2000. 85.
[8] LI De-he et al(李德河等). Chinese J. of China Materia Medica(中国中药杂志), 1991, 16(4): 235.
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