Optimization of Prescription for Colon-targeted Tablets with Total Flavonoids from Euphorbia humifusa(EFCTT) by Central Composite Design-response Surface Method
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Optimization of Prescription for Colon-targeted Tablets with Total Flavonoids from Euphorbia humifusa(EFCTT) by Central Composite Design-response Surface Method
Chinese Journal of Experimental Traditional Medical FormulaeVol. 18, Issue 8, Pages: 42-45(2012)
ZHAO Ming-qin, YIN Rong-li, BAI Lan, et al. Optimization of Prescription for Colon-targeted Tablets with Total Flavonoids from Euphorbia humifusa(EFCTT) by Central Composite Design-response Surface Method[J]. Chinese journal of experimental traditional medical formulae, 2012, 18(8): 42-45.
ZHAO Ming-qin, YIN Rong-li, BAI Lan, et al. Optimization of Prescription for Colon-targeted Tablets with Total Flavonoids from Euphorbia humifusa(EFCTT) by Central Composite Design-response Surface Method[J]. Chinese journal of experimental traditional medical formulae, 2012, 18(8): 42-45. DOI: 10.13422/j.cnki.syfjx.2012.08.011.
Optimization of Prescription for Colon-targeted Tablets with Total Flavonoids from Euphorbia humifusa(EFCTT) by Central Composite Design-response Surface Method
Objective:To optimize formulations of total flavonoids from Euphorbia humifusa(EFCTT) by central composite design-response surface method.Method: With the amount of lactose and L-HPC
coating weight gain as factors
with cumulative release at 2
6
9 h of quercetin from total flavonoids as index
Design-Expert software was used to fit multivariate linear models and quadratic multinomial models for experimental data
and obtained optimum mathematical model
drew effect diagram and contour maps
optimum prescription was obtained by overlapping contour maps and verified.Result: The correlation coefficient of quadratic multinomial models was better than multivariate linear models
and it was the final fitting model;Cumulative release in four time point of optimum prescription was close between observed value and predicted value with relative deviation was less than 5%.Conclusion: Model established by central composite design-response surface method had good predictive
it could be used to optimize prescription of EFCTT.
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Related Author
ZHAO Ming-qin
YIN Rong-li
BAI Lan
LI Dong-fen
LV Yi-ping
Li Jie
OU De-ming
ZHOU Yi-fan
Related Institution
Heilongjiang University of Chinese Medicine
Pharmacy College, Chengdu University of Traditional Chinese Medicine, Key Laboratory of Standardization of Chinese Herbal Medicine, Ministry of Education, Key Laboratory of Systematic Research, Development and Utilization of Chinese Medicine Resources in Sichuan Province, Key Laboratory Breeding Base of Co-founded by Sichuan Province and Ministry of Science and Technology
Kaili University
Jilin Agricultural University
Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences