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用于药物递送应用的甲基多巴在超临界二氧化碳中的溶解度测定:热分析

Determination of the solubility of methyldopa in supercritical carbon dioxide for drug delivery applications: thermal analysis.

作者信息

Wali Adil Farooq, Sridhar Sathvik Belagodu, Talath Sirajunisa, Pillai Jayachithra Ramakrishna, Shareef Javedh, Bhupathyraaj Mullaicharam, Goud B K Manjunatha, Hani Umme

机构信息

Department of Pharmaceutical Chemistry, RAK College of Pharmacy, RAK Medical and Health Sciences University, Ras Al Khaimah, UAE.

Department of Clinical Pharmacy and Pharmacology, RAK College of Pharmacy, RAK Medical and Health Sciences University, Ras Al Khaimah, UAE.

出版信息

Sci Rep. 2025 Jan 6;15(1):923. doi: 10.1038/s41598-024-84263-w.

Abstract

The production of fine particles by green technology like supercritical carbon dioxide requires the assessment of substantial solubility data at high pressures. This study represents the first determination of the solubility of methyldopa in carbon dioxide at pressures and temperatures ranging from 12 to 30 MPa and from 313.2 to 343.2 K, respectively. The mole fractions were obtained under the aforementioned conditions and ranged from 0.805 × 10⁻ to 11.345 × 10⁻. Four empirical models (Chrastil, Bartle et al., Mendez-Santiago, & Teja, and Kumar-Johnston) and two equations of state (Peng-Robinson and Soave-Redlich-Kwong) were used to correlate drug solubility. The K-J model demonstrated the highest accuracy, with an AARD of 8.38% and a R value of 0.988. Furthermore, the enthalpy values for the drug in SC-CO₂ were estimated using the Chrastil and Bartle models, resulting in values of 34.35 and 56.87 kJ·mol⁻¹, respectively. The results demonstrate that the SRK more pronounced results than the PR model, with an AARD% of 23.03 and a R value of 0.903 compared to 26.42 and 0.837. The article's conclusions provide a valuable reference for the application of green method in the production of fine particles of methyldopa.

摘要

通过超临界二氧化碳等绿色技术生产细颗粒需要评估高压下大量的溶解度数据。本研究首次测定了甲基多巴在压力为12至30MPa、温度为313.2至343.2K范围内在二氧化碳中的溶解度。在上述条件下获得的摩尔分数范围为0.805×10⁻至11.345×10⁻。使用四个经验模型(Chrastil模型、Bartle等人的模型、Mendez-Santiago和Teja模型以及Kumar-Johnston模型)和两个状态方程(Peng-Robinson方程和Soave-Redlich-Kwong方程)来关联药物溶解度。K-J模型显示出最高的准确性,平均绝对相对偏差(AARD)为8.38%,相关系数(R)值为0.988。此外,使用Chrastil模型和Bartle模型估算了药物在超临界二氧化碳中的焓值,结果分别为34.35和56.87kJ·mol⁻¹。结果表明,Soave-Redlich-Kwong(SRK)模型比Peng-Robinson(PR)模型的结果更显著,其平均绝对相对偏差百分比(AARD%)为23.03,相关系数(R)值为0.903,而PR模型的AARD%为26.42,R值为0.837。本文的结论为绿色方法在甲基多巴细颗粒生产中的应用提供了有价值的参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90c9/11704008/df0a702ea487/41598_2024_84263_Fig2_HTML.jpg

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