摘要
化合物在超临界CO2中的溶解度数据对选用合适的超临界流体法制备超细药物粒子非常重要,如对利索卡因的微粉化.为此,测定了不同条件下利索卡因在超临界CO2中的溶解度.实验结果表明:利索卡因在超临界CO2中的溶解度随压力(9.0～30.0MPa)的升高而增大,随温度(308.0～328.0K)的升高而减小,其溶解度主要受超临界流体密度的影响.采用不同模型对利索卡因的溶解度进行模拟预测,结果表明Chrastil经验模型比Peng-Robinson EOS模型和Men-dez-Santiago and Tej经验模型有更好的关联效果,其平均相对偏差(AARD)为5.96%.
Solubility data of compounds in supercritical carbon dioxide are important in selecting the most appropriate supercritical method for pharmaceutical material processing, such as the micronization of riso- caine. The solubility of risocaine has been measured under different operating conditions in this paper. It has been examined that the solubility of risocaine increases with pressure increases and decreases with tempera- ture increases. The results of pressure （9.0~30.0 MPa} and temperature （308.0~328.0 K} on solubility show that the solubility increases mainly with increasing density. In applying different models to correlate the solubility data, we found the Chrastil model better correlated than the Peng Robinson EOS model and the Mendez-Santiago-Teja model, providing an excellent average absolute relative deviation （AARD） of 0. 056 9
出处
《湘潭大学自然科学学报》
CAS
CSCD
北大核心
2012年第3期77-83,共7页
Natural Science Journal of Xiangtan University
基金
国家自然科学基金项目(21076068)
湖南省自然科学基金项目(07JJ3016)
