Study the Relationship between Chemical Components of Complex Prescription and Blood Flow of the Ileus Rats

Abstract:

Explore the relationship between chemical components of complex prescription and blood flow of the ileus rats, and predict the best compatibility. Method: first of all, experimental design. with reference to the original formula, the herbal medicines in a prescription include Rhubarb, Mangnolia officinalis, immature bitter orange, mirabilite designed nine formula based on Mixing uniform design, obtain chemical components of complex prescription and intestinal blood flow data; Secondly, explore important variables and interaction affect the information; The third, mathematical modelling. Finally, the target optimization. Results: there are interactions in the chemical components of complex prescription, and have the best compatibility. Conclusion: conjunctive use correlation analysis, partial correlation analysis, orthogonal partial least square analysis, Partial least-squares Regression, Optimal Method to study the compatibility of the dachengqi decoction is feasible and effective.

• Periodical: Advanced Materials Research (Volumes 864-867)
• Pages: 512-515
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.864-867.512
• Online since: December 2013
• Authors: Bin Nie, Jian Qiang Du, Ri Yue Yu, Zhuo Wang
• Keywords: Dachengqi Decoction, Ileus Rats, Optimize, Partial Least Squares

References

[1] Fang kaitai, Ma Changxing. Orthogonal and uniform experimental design. (2001) Beijing (in Chinese): science press, pp.144-151.

[2] Lu-Quan Ren . Regression design and optimization,. (2009) Beijing (in Chinese): science press, pp.143-173.

[3] YU Ri-Yue, YU Zhou, HU Jun, CHEN Qi. Chinese Journal of Clinical Pharmacology and Therapeutics (in Chinese), vol. 9 (6) (2004), p.680.

[4] Sharma, MC; Sharma, S; Sahu, NK; Kohli, DV. Journal of Saudi Chemical Society, 17(2)(2013), pp.219-225.

[5] Wang Huiwen. Partial least squares regression method and its application, Beijing, china, (1999) National Defence Industry Press: pp.1-4.

[6] Bin Nie, Jianqiang Du, Guoliang Xu, Riyue Yu, Hongning Liu, zhuo wang, bingtao li. IFITA '10 Proceedings of the 2010 International Forum on Information Technology and Applications, Publisher IEEE Computer Society Washington, DC, USA , kunming, china. pp.354-357, (2010).

DOI: 10.1109/iccasm.2010.5619398

[7] Bin Nie, JianQiang Du, RiYue Yu, YuHui Liu, GuoLiang Xu, YueSheng Wang, LiPing Huan. Advanced Research on Computer Science and Information Engineering, Communications in Computer and Information Science Vol. 153 (2011), pp.87-92.

DOI: 10.1109/iccasm.2010.5619398

[8] J. Trygg, S. Wold, J. Chemometrics 16 (2002) 119–128.

[9] Eriksson,L., Johansson,E., Kettaneh-wold,N., Trygg,J., Wikstrom,M., and Wold,S., Multi-and Megavariate data analysis, Part Ⅱ, Method Extensions and Advanced Applications, Chapter 23, Umetrics Academy, (2005).

DOI: 10.1002/cem.713

[10] Trygg,J., Journal of chemometrics, vol. 18(2004), pp.166-172.

[11] J. Trygg, S. Wold, J. Journal of chemometrics, vol. 17 (2003), pp.53-64.