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用于有机溶剂中药物成分分离的超选择性大环膜

Ultraselective Macrocycle Membranes for Pharmaceutical Ingredients Separation in Organic Solvents.

机构信息

Environmental Science and Engineering Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.

Chemical Engineering Program, Physical Science and Engineering Division (PSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.

出版信息

Nat Commun. 2024 Aug 21;15(1):7151. doi: 10.1038/s41467-024-51548-7.

Abstract

Separations are core processes in the chemical and pharmaceutical industries. Several steps of fractionation and purification of multicomponent mixtures are required. Membrane technology can operate at fair temperatures, saving energy and processing sensitive compounds. However, breakthroughs require high stability and selectivity beyond those available today. Here, we propose membranes constituted by fully crosslinked crown ethers using interfacial polymerization. The 24 nm-thick nanofilms on robust porous supports exhibit up to 90% higher selectivity than commercially available membranes, with a 90% increase in solvent permeance. The membranes are tested with a complex mixture of structurally diverse solutes containing active pharmaceutical ingredients. The membranes are effective for the total retention and concentration of active pharmaceutical ingredients with molecular weights around 800 g mol. The ability to distinguish between smaller molecules in the range between 100 and 370 g mol is confirmed with high separation factors, which could provide a significant advance for the pharmaceutical industry.

摘要

分离是化学和制药行业的核心工艺。多组分混合物的分馏和纯化需要多个步骤。膜技术可以在适宜的温度下运行,节省能源并处理敏感化合物。然而,要实现突破,需要比现有技术更高的稳定性和选择性。在这里,我们提出了使用界面聚合由全交联冠醚构成的膜。在坚固的多孔载体上形成的 24nm 厚的纳米薄膜比市售膜具有高达 90%的更高选择性,溶剂透过率提高了 90%。该膜用含有活性药物成分的结构多样的溶质复杂混合物进行了测试。该膜可有效保留和浓缩分子量约为 800g/mol 的活性药物成分。通过高分离因子证实了其对分子量在 100 至 370g/mol 之间的小分子的区分能力,这可能为制药行业提供重大进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/094b/11339351/c2f5843c7787/41467_2024_51548_Fig1_HTML.jpg

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