Determination of coptis chinensis’ quality by FT-NIR spectroscopy

Jidong Yang, Zhenyao Liu, Bing Liu, Qianhua Zhu

School of Chemistry and Chemical Engineering, Southwest China University, Chongqing, China.
School of Chemistry and Chemical Engineering, Yangtze Normal University, Chongqing, China.

DOI: 10.4236/health.2012.44029                

Abstract

As a kind of traditional Chinese medicinal materials coptis chinensis has a lot of medicinal value and closely related to human health, Widely used in clinical or disease prevention and treatment. So the quality of medicinal coptis chinensis rapid determination is very important. Calibration model for determination of Coptis chinensis’ quality was built by partial least squares and near infrared spectroscopy, and the method of spectral pretreatment was discussed. Berberine and moisture content were used as evaluation index of Coptis chinensis’ quality according to traditional Chinese medicine standard in this experiment. The first derivative and vector normalization were adopted for the spectral preprocessing. The performance of the final model was evaluated according to root mean squares error of cross-validation (RMSECV), root mean square error of prediction (RMSEP) and correlation coefficient (R). According to the model of calibration set, the R values were 0.9298 and 0.8898, RMSECV were 0.239% and 0.302%. The R values of prediction set were 0.9347 and 0.9146, RMSEP were 0.104% and 0.330%, and prediction results were accurate and reliable. This method could be applied in rapid analysis of Coptis chinensis. The method was suitable for production fields and research fields, and had a wide application prospect.

Keywords

Coptis Chinensis; ShiZhu; Berberine; Fourier Transform Near Infrared

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	Chinese pharmacopoeia commission (2005) Chinese pharmacopoeia, S. Beijing publication, Beijing.
[2]	Song, J.F., He, Y.Y. and Gao, W. (2000) Determination of berberine by its Polarographic catalytic wave. Chinese Journal of Analytical Chemistry, 28, 1538-1541.
[3]	Ye, Y.Q. and Yang, J. (1993) Indriect determination of berberine in tabellae berberine hydrochloride by atomic emission spectrometry, Chinese Journal of Analytical Chemistry, 21, 342-344.
[4]	Guo, Y. and Li, J. (2003) HPLC determination of trimethoprim and berberine sulfate in compound berberine injection. Chinese Pharmaceutical Affairs, 14, 226-227.
[5]	Morris, D.L. and Forbes, R.A. (2010) A method for measuring potency of narasin extracts using near-IR spectroscopy, Journal of Pharmaceutical and Biomedical Analysis, 53, 510-516.
[6]	Feng, Y.C. and Hu, C.Q. (2006) Construction of universal quantitative models for determination of roxithromycin and erythromycin ethylsuccinate in tablets from different manufacturers using near infrared reflectance spectroscopy. Journal of Pharmaceutical and Biomedical Analysis, 41, 373-384. doi:10.1016/j.jpba.2005.11.027
[7]	Feng, Y.C., Zhang, X.B. and Hu, C.Q. (2010) Construction of identification system for non-invasive analysis of macrolides tablets using near infrared diffuse reflectance spectroscopy. Journal of Pharmaceutical and Biomedical Analysis, 51, 12-17. doi:10.1016/j.jpba.2009.07.018
[8]	Ravn, C., Skibsted, E. and Broc, R. (2008) Near-infrared chemical imaging (NIR-CI) on pharmaceutical solid dosage forms—Comparing common calibration approaches, Journal of Pharmaceutical and Biomedical Analysis, 48, 554-561. doi:10.1016/j.jpba.2008.07.019
[9]	Blanco, M. and Peguero, A. (2010) Influence of physical factors on the accuracy of calibration models for NIR spectroscopy. Journal of Pharmaceutical and Biomedical Analysis, 52, 59-65. doi:10.1016/j.jpba.2009.12.009
[10]	Baratieri, S.C., Barbosa, J.M., Freitas, M.P. and Martins, J.A. (2006) Multivariate analysis of nystatin and metronidazole in a semisolid matrix by means of diffuse reflectance NIR spectroscopy and PLS regression. Journal of Pharmaceutical and Biomedical Analysis, 40, 51-55. doi:10.1016/j.jpba.2005.05.025
[11]	Wu, Y.W., Sun, S.Q., Zhou, Q. and Leung, H.W. (2008) Fourier transform mid-infrared (MIR) and near-infrared (NIR) spectroscopy for rapid quality assessment of Chinese medicine preparation Honghua Oil. Journal of Pharmaceutical and Biomedical Analysis, 46, 498-504. doi:10.1016/j.jpba.2007.11.021
[12]	Woo, Y.A., Kim, H.J., Ze, K.R. and Chung, H. (2005) Near-infrared (NIR) spectroscopy for the non-destructive and fast determination of geographical origin of Angelicae gigantis Radix. Journal of Pharmaceutical and Biomedical Analysis, 36, 955-959. doi:10.1016/j.jpba.2004.08.037
[13]	Laasonen, M., Harmia, P.T. and Simard, C.L. (2002) Fast identification of Echinacea purpurea dried roots using near-infrared spectroscopy. Journal of Analytical Chemistry, 74, 2493-2499. doi:10.1021/ac011108f
[14]	Blanco, M., Goza, B.R. and Bertran, E. (2002) Monitoring powder blending in pharmaceutical processes by use of near infrared spectroscopy. Talanta, 56, 203-212. doi:10.1016/S0039-9140(01)00559-8
[15]	Dziki, W., Bauer, J.F. and Szpylman, J.J. (2000) The use of near-infrared spectroscopy to monitor the mobility of water within the sarafloxacin crystal lattice. Journal of Pharmaceutical and Biomedical Analysis, 22, 829-848. doi:10.1016/S0731-7085(00)00247-8
[16]	Dempster, M.A., Jones, J.A. and Last, I.R. (1993) Near infrared methods for the identification of tablets in clinical trial supplies. Journal of Pharmaceutical and Bio-medical Analysis, 11, 1087-1092. doi:10.1016/0731-7085(93)80086-G
[17]	Zhang, Y., Xie, Y.F., Song, F.R., Liu, Z.Q., Cong, Q. and Zhao, B. (2008) Quantitative analysis of berberine in processed coptis by near-infrared diffuse reflectance spectroscopy. Chemical Research in Chinese University, 24, 717-721.
[18]	Qu, H.B., Liu, Q. and Cheng, Y.Y. (2004) Determination of the coptis extract alkaloids using near-infrared diffuse reflectance spectroscopy. Chinese Journal of analytical chemistry, 32, 477-480.
[19]	Elena, D., Giupe, C. and Piero, C. (1995) Quantitation fourier transform near infrared spectroscopy in the quality control of solid pharmaceutical formulations. Analyst, 120, 2361-2365. doi:10.1039/an9952002361
[20]	Donga, Q., Zanga, H., Liub, A., Yangb, G., Suna, C., Suic, L., Wanga, P. and Li, L. (2010) Determination of molecular weight of hyaluronic acid by near-infrared spectroscopy. Journal of Pharmaceutical and Biomedical Analysis, 53, 274-278. doi:10.1016/j.jpba.2010.05.031
[21]	Chena, Q., Zhao, J., Liu, M., Cai, J.R. and Liu, J.H. (2008) Determination of total polyphenols content in green tea using FT-NIR spectroscopy and different PLS algorithms. Journal of Pharmaceutical and Biomedical Analysis, 46, 568-573. doi:10.1016/j.jpba.2007.10.031
[22]	Maesschalck, R.D. and Kerkhof, T.V. (2005) Implementation of a simple semi-quantitative near-infrared method for the classification of clinical trial tablets. Journal of Pharmaceutical and Biomedical Analysis, 37, 109-114. doi:10.1016/j.jpba.2004.10.016