ABSTRACT The calibration model for simultaneous deter-mination of chlorogenic acid and baicalin in heat-clearing and detoxicating oral liquid was built by partial least squares and near infrared spectroscopy, and the method of spectral pre-treatment was discussed. Building model from calibration set obtained good results, and vali-dated by prediction. According to heat-clearing and detoxicating oral liquid from 30 batches of 6 factories, the correlation coefficient of chloro-genic acid and baicalin model are 0.9993 and 0.9923, The root mean square error of cross validation (RMSECV) are 0.467 and 0.480, and the standard Error of prediction (SEP) of chloro- genic acid and baicalin are 0.356 and 0.370 re-spectively. The correlation coefficients in pre-diction set are 0.9997 and 0.9969, prediction results are accurate and reliable. This method can be applied in rapid analysis of heat- clearing and detoxicating oral liquid, and it is fit for on-line detection and has a wide application prospect.
Cite this paper
nullLiu, Z. , Liu, B. and Yang, J. (2009) Simultaneous determination of chlorogenic acid and baicalin in heat-clearing and detoxicating oral liquid by NIRS. Health, 1, 134-138. doi: 10.4236/health.2009.13022.
 Chinese pharmacopoeia, (2005) Edition, Beijing publica-tion.
Q. S. Chen, J. Zhao, H. Lin, (2009) Study on discrimina-tion of roast green tea (Camellia sinensis L.) according to geographical origin by FT-NIR spectroscopy and super-vised pattern recognition, Spectro-Chimica Acta Part A, 72(5), 845-850.
S. Macho, M. S. Larrechi, (2002) Near-infrared spec-troscopy and multivariate calibration for the quantitative determination of certain properties in the petrochemical industry, Trends in Analytical Chemistry, 21(12), 799- 806.
M. E. Lafargue, M. H. Feinberg, J. J. Daudin, and D. N. Rutledge, (2003) Homogeneity check of agricultural and Anal. Bioanal. Chem, 375(4), 496-504.
P. M. Lucy, E. H. Stephen, I. David, V. V. Frank and L. Susan, (2007) At-Line near-infrared spectroscopy for prediction of the solid fat content of milk fat from New Zealand butter, Agriculture and Food Chemistry, 55(6), 2791-2796.
Y. B. Wang, H. F. Yuan, Lu W. Z. zhen. (2000) Applica-tion of artificial neural network for the determination of diesel fuel flash point by near-infrared spectroscopy. Chinese Journal of Analytieal. Chemistry, 9(4), 1070- 1077.
C. Zhao, H. B. Qu, Y. Y. Cheng, (2004) A new approach to the fast measurement of content of amino acids in cordy-ceps sinensis by ANN-NIR, Spectroscopy and Spectral Analysis, 24(3), 50-56.
X. Y. Gu, Y. Wang, K. X. Xu, L. Li, N. S. Ling, (2004) Measurement of borneol based on near infrared spec-troscopy, Spectroscopy and Spectral Analysis, 24(3), 155-162.
H. B. Qu, X. X. Liu, Y. Y. Cheng, (2004) A Method for analysis of extracting solution of panax notoginseng using near-infrared spectroscopy and support vector regression, Chemical Journal of Chinese Universities, 25(4), 39-45.
S. K. Yan, G. A. Luo, Y. M. Wang, (2006) Study on real-time control of extraction procedure of furitus gar-denia by near infrared spectroscopy.spectroscopy and spectral analysis, 26(2), 1026-1031.
L. Ai, Q. L. Liang, G. A. Luo, (2008) Application of NIR spectrum in Asia-Pacific traditional medicine, 6(1), 52-57.
L. A. Xie, X. Q. Ye, D. H. Liu, Y. B. Yine, (2009) Quan-tification of glucose, fructose and sucrose in bayberry juice by NIR and PLS Food Chemistry, 114(6), 1135- 1141.
V. R. Sinija, H. N. Mishra, (2009) FT-NIR spectroscopy for caffeine estimation in instant green tea powder and granules, LWT-Food Science and Technology, 42(5), 998-1002.