| Objectives:In this paper, the physical parameters (including the density, p, viscosity, η, thermal conductivity, λ) of Scutellariae Radix extracts, Coptidis Rhizoma extracts and Scute-Coptis extracts which were concentrated to different concentrations were measured at different temperatures. Analyzed the data correlation among the physical parameters, the concentration (C) and temperature (T), then carried out regression equations. This study can provide a method reference, theory and data support to the physical properties study of the pharmaceutical process of Chinese medicine. Investigate the impact of concentration degree on the extent of the index components in the extracts.Methods:(1) Sample Preparation:All the extracts were extracted respectively with water and and 60% ethanol through heating reflux extraction and the extracts were concentrated to different concentrations using a rotary evaporator.(2) Determination of physical parameters:Density were measured at 20℃ using a float type densimeter and density and established the p-C regression equation.Viscosity of the Scutellariae Radix extracts and Coptidis Rhizoma extracts with different concentrations were measured at 20～70℃ using a rotary viscometer. The viscosity of Scute-Coptis extracts were measured at 20～60 ℃. Based on the measured data, the classical mathematical model of η-C-T were verified and the η-C, η-T,η-C-T regression equations were established.Instantaneous double-hotwire method was used to measure the thermal conductivity. The thermal conductivity of Scutellariae Radix extracts and Coptidis Rhizoma extracts with different concentrations were measured at 20～70 ℃. The thermal conductivity of Scute-Coptis extracts were measured at 20～60 ℃. Established the λ-C,λ-T,λ-C-T regression equations.(3) Data analysis methods:Based on the experimental data, using Mecrosoft Excel 2007 for linear regression analysis (p-C, η-C, η-T,λ-C,λ-T); using 1stOpt data analysis software for nonlinear fitting bivariate (η-C-T); using SPSS data analysis software for binary linear regression (λ-C-T).(4) The method of measuring index component:According to 2010 edition of Chinese Pharmacopoeia, the content of baicalin in Scutellariae Radix extracts and the content of berberine in Coptidis Rhizoma extracts were measured by HPLC.Results:(1) The correlation between physical parameters of Scutellariae Radix extracts:With a regression analysis of the measured data, the ρ-C regression equation were established: ρ=0.1582C+1.0043 (r=0.9970) (water extract), ρ=0.1839C+0.9072 (r=0.9995) (ethanol extract). Fitting the data to η-C-T mathematical model η= c exp(eT+dC+fC2), correlation index were greater than 0.98. Thermal conductivity prediction equation were established by binary linear regression:λ=0.5591-0.1181C-0.00347 (r=0.9945) (water extract),λ=0.4366-0.1574C-0.0021T(r=0.9893) (ethanol extract).(2) The correlation between physical parameters of Coptidis Rhizoma extracts:The ρ-C regression equation:ρ=0.1105C+1.0002 (r=0.9992) (water extract), ρ=0.1157C +0.9067 (r=0.9967) (ethanol extract). Fitting the data to η-C-T mathematical model η=c exp(eT+dC+fC2), correlation index were greater than 0.98. Thermal conductivity prediction equation:λ=0.6962-0.1464C-0.0027T (r=0.9980) (water extract),λ=0.3130-0.0431C-0.0012T (r=0.9951) (ethanol extract).(3) The correlation between physical parameters of Scute-Coptis extracts:The ρ-C regression equation:ρ=0.2425C+0.9864 (r=0.9873) (water extract), ρ=0.1925C +0.9138 (r=0.9885) (ethanol extract). Based on the experimental data, mathematical model η=a1 Cb1 and η=a2 exp(b2C) were verified:fitting result were basically the same; the relationship model η= a exp(b/T):water extracts fit poorly, ethanol extracts fit better (r were greater than 0.95). Thermal conductivity prediction equation:λ=0.5935-0.8431C+0.0018T (r=0.9960) (water extract) and λ=0.4269-0.8376C+0.0006T (r=0.9962) (r=0.9962) (ethanol extract).(4) The impact of concentration process on index components:The average content of baicalin in Scutellariae Radix water extracts and ethanol extracts of different concentrations were 10.2127% and 9.3981%. In one-way ANOVA analysis result manifestation, the P values were 0.4388 and 0.4807, both were greater than 0.05.The average content of berberine in Coptidis Rhizoma water extracts and ethanol of different concentrations were 4.6201% and 5.7556%. In one-way ANOVA analysis result manifestation, the P values were 0.1989 and 0.0615, both were greater than 0.05.Conclusions:(1) The parameters of Scutellariae Radix extracts and Coptidis Rhizoma extracts correlated well. Because the concentration and temperature data were easier to get, we can use the regression equation to predict the viscosity and thermal conductivity at different concentrations and temperatures in actual production.(2) The thermal conductivity of Scute-Coptis extracts correlate well to concentration and temperature, so the regression equations can be used to predict thermal conductivity. Measured data fitted poorly to η-C, η-T mathematical model, possibily because precipitation which can bring a significant impact to viscosity generated in Scute-Coptis extracts. Therefore it was not recommended to use mathematical model for viscosity predictions.(3) The impact of enrichment process on the content of index components is not obvious (P> 0.05). The extraction rate of baicalin with water extraction was higher than that with 60% ethanol extraction. But the extraction rate of berberine with 60% ethanol extraction was higher than that with water extraction. Thus, the choice of solvent extraction need to be noticed. |
PDF Full Text Request