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Supercritical fluid chromatography and enhanced fluidity liquid chromatography : green alternatives to conventional liquid chromatography

(2014)
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Promoter
(UGent)
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Abstract
The growing interest in high throughput assays is the result of the increasing numbers and because of the growing complexity of samples to be analyzed in pharmaceutical environments. The low viscosities and high diffusivities of sub- and supercritical fluids allow highly efficient separations to be achieved with significant analysis time gains, in comparison to High-performance liquid chromatography (HPLC). In addition at the start of this research in 2009 there was a global shortage of acetonitrile, a solvent which is widely used in the pharmaceutical industry for the analysis of drug substances and drug products. As a consequence, seeking to use alternative solvents or analytical methods to minimize the impact of this shortage and its environmental impact was and is a contemporary highly relevant concern. CO2 is particularly attractive as an alternative mobile phase because of its green character and as it is easily brought under supercritical conditions (which are reaches at 31°C and 73.8 bar). In chromatography liquid CO2 is therefore often used under sub- or supercritical as an extracting solvent and/or as the mobile phase with or without added organic modifier. In the framework of the Pfizer Analytical Research Centre (PARC) and a general revival of SFC mainly because of the release of new instrumentation, SFC was critically re-evaluated in this study for analysis of achiral and chiral pharmaceuticals. In the same framework, EFLC was evaluated as the same instrumentation is used. Important in this evaluation is that ruggedness or robustness is taken into considerations because this is a prerequisite for a technique to recognize a breakthrough in a regulated environment such as the pharmaceutical industry. Evaluation in the SFC- and EFLC-mode of the recent developments made in LC related to column formats (porous particles, core shell particles, smaller particles, etc.) is included in this study.
Keywords
green chromatography, enhanced fluidity liquid chromatography, organic analysis, Supercritical fluid chromatography

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Citation

Please use this url to cite or link to this publication:

MLA
Admasu Engda, Engdawork. “Supercritical Fluid Chromatography and Enhanced Fluidity Liquid Chromatography : Green Alternatives to Conventional Liquid Chromatography.” 2014 : n. pag. Print.
APA
Admasu Engda, E. (2014). Supercritical fluid chromatography and enhanced fluidity liquid chromatography : green alternatives to conventional liquid chromatography. Ghent University. Faculty of Sciences, Ghent, Belgium.
Chicago author-date
Admasu Engda, Engdawork. 2014. “Supercritical Fluid Chromatography and Enhanced Fluidity Liquid Chromatography : Green Alternatives to Conventional Liquid Chromatography”. Ghent, Belgium: Ghent University. Faculty of Sciences.
Chicago author-date (all authors)
Admasu Engda, Engdawork. 2014. “Supercritical Fluid Chromatography and Enhanced Fluidity Liquid Chromatography : Green Alternatives to Conventional Liquid Chromatography”. Ghent, Belgium: Ghent University. Faculty of Sciences.
Vancouver
1.
Admasu Engda E. Supercritical fluid chromatography and enhanced fluidity liquid chromatography : green alternatives to conventional liquid chromatography. [Ghent, Belgium]: Ghent University. Faculty of Sciences; 2014.
IEEE
[1]
E. Admasu Engda, “Supercritical fluid chromatography and enhanced fluidity liquid chromatography : green alternatives to conventional liquid chromatography,” Ghent University. Faculty of Sciences, Ghent, Belgium, 2014.
@phdthesis{5938844,
  abstract     = {The growing interest in high throughput assays is the result of the increasing numbers and because of the growing complexity of samples to be analyzed in pharmaceutical environments. The low viscosities and high diffusivities of sub- and supercritical fluids allow highly efficient separations to be achieved with significant analysis time gains, in comparison to High-performance liquid chromatography (HPLC). In addition at the start of this research in 2009 there was a global shortage of acetonitrile, a solvent which is widely used in the pharmaceutical industry for the analysis of drug substances and drug products. As a consequence, seeking to use alternative solvents or analytical methods to minimize the impact of this shortage and its environmental impact was and is a contemporary highly relevant concern. CO2 is particularly attractive as an alternative mobile phase because of its green character and as it is easily brought under supercritical conditions (which are reaches at 31°C and 73.8 bar).
In chromatography liquid CO2 is therefore often used under sub- or supercritical as an extracting solvent and/or as the mobile phase with or without added organic modifier. 
In the framework of the Pfizer Analytical Research Centre (PARC) and a general revival of SFC mainly because of the release of new instrumentation, SFC was critically re-evaluated in this study for analysis of achiral and chiral pharmaceuticals. In the same framework, EFLC was evaluated as the same instrumentation is used. Important in this evaluation is that ruggedness or robustness is taken into considerations because this is a prerequisite for a technique to recognize a breakthrough in a regulated environment such as the pharmaceutical industry. Evaluation in the SFC- and EFLC-mode of the recent developments made in LC related to column formats (porous particles, core shell particles, smaller particles, etc.) is included in this study.},
  author       = {Admasu Engda, Engdawork},
  keywords     = {green chromatography,enhanced fluidity liquid chromatography,organic analysis,Supercritical fluid chromatography},
  language     = {eng},
  pages        = {VI, 163},
  publisher    = {Ghent University. Faculty of Sciences},
  school       = {Ghent University},
  title        = {Supercritical fluid chromatography and enhanced fluidity liquid chromatography : green alternatives to conventional liquid chromatography},
  year         = {2014},
}