How Much Can We Learn from a Single Chromatographic Experiment? A Bayesian Perspective
Author:
Affiliation:
1. Department of Biopharmaceutics and Pharmacodynamics, Medical University of Gdańsk, Gen. J. Hallera 107, 80-416 Gdańsk, Poland
Funder
Ministerstwo Nauki i Szkolnictwa Wyzszego
Narodowe Centrum Nauki
Publisher
American Chemical Society (ACS)
Subject
Analytical Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.5b03859
Reference23 articles.
1. Snyder, L. R.; Kirkland, J. J.; Dolan, J. W.Introduction to modern liquid chromatography,3rd ed.Wiley-Blackwell:Oxford, 2010; pxli,912.
2. Multifactorial design principles applied for the simultaneous separation of local anesthetics using chromatography modeling software
3. Computerized design of separation strategies by reversed-phase liquid chromatography: development of DryLab software
4. Optimizing selectivity during reversed-phase high performance liquid chromatography method development: Prioritizing experimental conditions
5. Maximum A Posteriori Bayesian Estimation of Chromatographic Parameters by Limited Number of Experiments
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