COSMO-RS for the prediction of the retention behavior in micellar liquid chromatography based on partition coefficients of non-dissociated and dissociated solutes
Author:
Publisher
Elsevier BV
Subject
Organic Chemistry,General Medicine,Biochemistry,Analytical Chemistry
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Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Resolving unknown isomers of emerging per- and polyfluoroalkyl substances (PFASs) in environmental samples using COSMO-RS-derived retention factor and mass fragmentation patterns;Journal of Hazardous Materials;2021-01
2. Performance comparison of nonlinear and linear regression algorithms coupled with different attribute selection methods for quantitative structure - retention relationships modelling in micellar liquid chromatography;Journal of Chromatography A;2020-07
3. Mixed aqueous solutions of nonionic surfactants Brij 35/Triton X-100: Micellar properties, solutes' partitioning from micellar liquid chromatography and modelling with COSMOmic;Colloids and Surfaces A: Physicochemical and Engineering Aspects;2018-02
4. Micellization and Partition Equilibria in Mixed Nonionic/Ionic Micellar Systems: Predictions with Molecular Models;Langmuir;2017-10-13
5. Solute Partitioning in Micelles: Combining Molecular Dynamics Simulations, COSMOmic, and Experiments;The Journal of Physical Chemistry B;2017-06-06
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