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Central composite design with the help of multivariate curve resolution in loadability optimization of RP-HPLC to scale-up a binary mixture

Taheri, M ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1002/jssc.201500526
  3. Publisher: Wiley-VCH Verlag
  4. Abstract:
  5. Chromatographic method development for preparative targets is a time-consuming and subjective process. This can be particularly problematic because of the use of valuable samples for isolation and the large consumption of solvents in preparative scale. These processes could be improved by using statistical computations to save time, solvent and experimental efforts. Thus, contributed by ESI-MS, after applying DryLab software to gain an overview of the most effective parameters in separation of synthesized celecoxib and its co-eluted compounds, design of experiment software that relies on multivariate modeling as a chemometric approach was used to predict the optimized touching-band overloading conditions by objective functions according to the relationship between selectivity and stationary phase properties. The loadability of the method was investigated on the analytical and semi-preparative scales, and the performance of this chemometric approach was approved by peak shapes beside recovery and purity of products
  6. Keywords:
  7. HPLC modeling ; Binary mixtures ; Chromatographic analysis ; Curve fitting ; Celecoxib ; Central composite designs ; Chromatographic methods ; Effective parameters ; Multivariate curve resolution ; Multivariate modeling ; Statistical computations ; Touching band ; Design of experiments ; Celecoxib ; Acidity ; Article ; Drug impurity ; Drug synthesis ; Electrospray mass spectrometry ; Isomer ; PH ; Priority journal ; Process optimization ; Reversed phase high performance liquid chromatography ; Scale up ; Surface area ; Temperature ; Time
  8. Source: Journal of Separation Science ; Volume 39, Issue 6 , 2016 , Pages 1031-1040 ; 16159306 (ISSN)
  9. URL: http://onlinelibrary.wiley.com/doi/10.1002/jssc.201500526/abstract;jsessionid=356855C2AC88A003F4BD262B28E1EF42.f04t04