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China Journal of Chinese Materia Medica ; (24): 3356-3363, 2021.
Article in Chinese | WPRIM | ID: wpr-887985

ABSTRACT

With Sangtang Yin granule as model drug,and based on the strategy of " unification of medicines and excipients",the feasibility of preparing high drug loading granules with traditional Chinese medicine( TCM) raw powder as carrier was explored. The powder yield,particle size and particle size distribution,fillibility,flowability,hygroscopicity,reconstituability and other key physical properties relating to preparations of 8 herbs( Dioscoreae Rhizoma,Euryales Semen,Atractylodis Macrocephalae Rhizoma,Coicis semen,Poria,Puerariae Lobatae Radix,Puerariae Thomsonii Radix and Coicis Semen by stir-frying with bran) were studied after being smashed,and the feasibility of taking them as excipients of TCM granules was evaluated by co-spray drying,dry granulation and other preparation techniques. According to the results of the physical properties of raw powders,raw powders of Dioscoreae Rhizoma,Euryales Semen and Puerariae Thomsonii Radix had a high powder yield,uniform particle size distribution,good fillibility,poor hygroscopicity and good reconstitutability,with the feature of assisting granule forming. Compared with the prescription of spray dry powder Sangtang Yin without any excipient,the co-sprayed powder had a high yield,good fillibility and compressibility. The yield of dry granules prepared by co-spraying dry powder was increased by more than 10%,and the particles had a uniform color,good fluidity and dissolubility with the drug-loading rate up to 100%. Based on the physical characteristics of TCM raw powder combined with the analysis of the preparation process,Dioscoreae Rhizoma and Puerariae Thomsonii Radix raw powder were selected as the carriers of granule preparations,and Sangtang Yin granule without any excipient was successfully prepared. The findings provide a feasible idea for the preparation of TCM granules with a high drug loading capacity.


Subject(s)
Excipients , Medicine, Chinese Traditional , Particle Size , Powders , Pueraria , Rhizome
2.
China Journal of Chinese Materia Medica ; (24): 846-853, 2020.
Article in Chinese | WPRIM | ID: wpr-1008510

ABSTRACT

To explore the relationship between the variations of the physiochemical properties of traditional Chinese medicine(TCM) decoction before or after precipitation in alcohol and the wall stickiness in spray drying. In this study, widely used TCMs in clinic were selected to determine the physiochemical properties of TCM decoction before or after precipitation in alcohol separately.Afterwards, the principle component analysis(PCA),Hierarchical cluster analysis(HCA),and orthogonal partial least squares-discriminate analysis(OPLS-DA) were used to evaluate the relationship between the variations of those liquid before or after precipitation in alcohol and hot-melt stickiness in spray drying.Three types of statistical analysis methods all indicated that ethanol precipitation affected physiochemical properties of TCM decoction, and the variations of physical properties showed significant association with hot-melt stickiness in spray drying.The results of PCA-X and HCA suggested that the dynamic surface tension(DST) was impacted most by the alcohol deposition treatment,at the same time,the other 5 physiochemical properties were also affected.OPLS-DA verified that PCA-X and HCA results, and revealed that DST,equilibrium surface tension(EST) and pH were significantly affected by alcohol deposition treatment,and the order of the affecting factors from high to low was DST,EST and pH.Therefore,the downward trend of DST and pH were the important factors that directly affected the hot-melt stickiness of TCM after precipitation in alcohol,which would be probably caused by losing macromolecules alcoholic insoluble components and increasing relative proportions of organic acid and small molecule sugar.


Subject(s)
Cluster Analysis , Desiccation/methods , Drugs, Chinese Herbal/chemistry , Ethanol/chemistry , Hot Temperature , Least-Squares Analysis , Medicine, Chinese Traditional , Principal Component Analysis
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