Business-objective-directed, constraint-based multivariate optimization of high-performance liquid chromatography operational parameters

Chester, T. L.

doi:10.1016/j.chroma.2003.08.005

Cited by 16 publications

(8 citation statements)

References 27 publications

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“…Besides that, business parameters like, e.g. analysis time and/or financial considerations are used as optimization criteria also [45]. Especially, during the last years, several powerful software programs for method development and optimization have become available too.…”

Section: Ad (Ii)mentioning

confidence: 99%

Review on the chemical and thermal stability of stationary phases for reversed-phase liquid chromatography

Claessens

Straten

2004

Journal of Chromatography A

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Section: Ad (Ii)mentioning

confidence: 99%

Review on the chemical and thermal stability of stationary phases for reversed-phase liquid chromatography

Claessens

Straten

2004

Journal of Chromatography A

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“…Chester published on an entirely new aspect of method development [152,153] that is neglected in the classical approaches, which focus on achieving resolution. Chester starts with the assumption that resolution has been achieved under some set of circumstances, and now the goal is to optimize conditions to meet a particular business objective, for example minimizing the run time while achieving a minimal resolution.…”

Section: Methods Developmentmentioning

confidence: 99%

Stationary phase characterization and method development

Neue

2007

J of Separation Science

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The properties of stationary phases and their characterization methods are reviewed. New and significant developments have occurred in the last few years, and new methods for stationary phase characterization have become available. The characterization methods are discussed, and the differences between the different methods are pointed out. In addition, method development approaches are reviewed, with special emphasis on recent developments that employ multiple parameters in parallel. Also, the renewed interest of temperature as a tool in method development is surveyed.

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“…Note that the use of stepwise methods for the estimation of the elution time of a sample analyte has a long tradition in chromatography. Usually the fundamental equation is solved numerically by dividing the time axis into small segments, ,− which is equivalent to approximate a gradient profile by a stepwise one. − …”

Section: Theoretical Sectionmentioning

confidence: 99%

Multimode Gradient Elution in Reversed-Phase Liquid Chromatography: Application to Retention Prediction and Separation Optimization of a Set of Amino Acids in Gradient Runs Involving Simultaneous Variations of Mobile-Phase Composition, Flow Rate, and Temperature

et al. 2009

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The theory of multimode gradient elution in liquid chromatography involving combined gradients of the mobile-phase composition with flow rate and column temperature is presented, and a very simple stepwise method that allows for the calculation of the elution time of a sample solute under all gradient conditions is proposed. The theory is successfully applied to the separation of 12 o-phthalaldehyde derivatives of amino acids in eluting systems modified by acetonitrile. Average errors below 2.9% have been found in the retention prediction using the above method, which is supported by adequate models and algorithms capable of describing the chromatographic behavior of solutes upon changes in the separation factors, such as the modifier content, flow rate, and temperature.

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Business-objective-directed, constraint-based multivariate optimization of high-performance liquid chromatography operational parameters

Cited by 16 publications

References 27 publications

Review on the chemical and thermal stability of stationary phases for reversed-phase liquid chromatography

Review on the chemical and thermal stability of stationary phases for reversed-phase liquid chromatography

Stationary phase characterization and method development

Multimode Gradient Elution in Reversed-Phase Liquid Chromatography: Application to Retention Prediction and Separation Optimization of a Set of Amino Acids in Gradient Runs Involving Simultaneous Variations of Mobile-Phase Composition, Flow Rate, and Temperature

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