首页> 外文期刊>Journal of Chemical and Engineering Data: the ACS Journal for Data >Prediction of Solubility of Sodium Valproate in Supercritical Carbon Dioxide: Experimental Study and Thermodynamic Modeling
【24h】

Prediction of Solubility of Sodium Valproate in Supercritical Carbon Dioxide: Experimental Study and Thermodynamic Modeling

机译:丙酮酸钠溶解度预测超临界二氧化碳:实验研究与热力学建模

获取原文
获取原文并翻译 | 示例
           

摘要

The key factor for designing of micro- and nanosized particles production processes is determination of a solid solute solubility. In the current investigation, for the first time, the solubility of sodium valproate in supercritical CO2 was investigated. Solubility investigations were conducted at different temperatures (308.15-338.15 K) and pressure values (12-27 MPa). Sodium valproate provided mole fraction solubility values of 0.05 X 10(-5) to 3.71 X 10(-5) within the experimental range studied. For the studied system, data correlation has been examined by equations of state (EoSs) including Soave-Redlich-Kwong (SRK), Peng-Robinson (PR), and Estevez models as well as SAFT-VR and four semi-empirical models (Kumar and Johnston, Mendez-Santiago and Teja, Jouyban et al., Sodeifian et al., Bartle et al., Chrastil's models and Reddy and Garlapati models). Statistical criteria (AARD, R-adj, and F-value) were used to appraise their precision. The analysis of variance (ANOVA) also indicated the superior performance of the PR, SRK, Estevez, and SAFT-VR EoSs. Furthermore, density-based models generally exhibited excellent agreement with the experimental data.
机译:设计微型和纳米粒子颗粒生产方法的关键因素是测定固体溶质溶解度。在本前调查中,研究了丙戊酸钠在超临界CO 2中的溶解度。在不同温度(308.15-338.15k)和压力值(12-27MPa)下进行溶解度研究。在研究的实验范围内,戊酸钠提供0.05×10(-5)至3.71×10(-5)的摩尔分数溶解度值。对于所研究的系统,通过状态(eoss)的方程来检查数据相关性,包括Soave-Redlich-Kwong(SRK),Peng-Robinson(PR)和Estevez模型以及Saft-VR和四个半实证模型( Kumar和Johnston,Mendez-Santiago和Teja,Jouyban等,Sodeifian等,Bartle等,Charastil的型号和雷德和大猩猩模型)。统计标准(AARD,R-ADJ和F值)用于评估它们的精确度。方差分析(ANOVA)还表明了PR,SRK,ESTEVEZ和SAFT-VR EOSS的优越性。此外,基于密度的模型通常与实验数据表现出很好的一致性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号