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1.
Article de Chinois | WPRIM | ID: wpr-775410

RÉSUMÉ

Nanosuspension (also called nanocrystal suspension or nanocrystal) could significantly enhance the saturated solubility and dissolution of insoluble drugs, and improve their bioavailability by reducing particle size and increasing the specific surface, which could then solve the delivery problems of the poorly soluble active ingredients and effective parts of Chinese materia medica (CMM). Based on the brief summaries of nanosuspension preparation methods, this paper would mainly review the and behaviors of poorly soluble CMM nanosuspension, discuss and analyze its problems, so as to provide reference and thinking for the further study of nanosuspension drug delivery system of poorly soluble CMM and promote the development and perfection of nanosuspension technology in CMM.


Sujet(s)
Biodisponibilité , Systèmes de délivrance de médicaments , Matière médicale , Chimie , Médecine traditionnelle chinoise , Nanoparticules , Taille de particule , Solubilité , Suspensions
2.
Article de Chinois | WPRIM | ID: wpr-851589

RÉSUMÉ

Objective To optimize the formulation of rutaecarpine lipid liquid crystalline nanoparticles (Rut-LLCN) by Box-Behnken design-response surface methodology. Methods Rut-LLCN were prepared by precursor injection-high pressure homogenization method. A three factor and three-level Box-Behnken design was employed with the glyceryl monoolein quality, percentage of poloxamer in glyceryl monoolein and the rutaecarpine quality as independent variables, the entrapment efficiency, drug loading, mean particle size and polydispersity index as the dependent variables to sereen the optimal formaula. Results Optimized prescription was GMO 450 mg, F127-GMO 12%, and Rut 20 mg. All items of optimized prescription were similar to target values. According to the optimized prescription, the entrapment efficiency, drug loading, average particle size, and PDI of Rut-LLCN were (84.02 ± 7.99)%, (3.24 ± 0.30)%, (186.90 ± 13.50) nm, and 0.313 ± 0.020, respectively. Conclusion The prescription optimization model of Rut-LLCN was optimized by Box-Behnken designs-response surface methodology, and entrapment efficiency, drug loading, mean particle size, and PDI of Rut-LLCN are measured to investigate the model.

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