Literature DB >> 12236524

Computerized design of separation strategies by reversed-phase liquid chromatography: development of DryLab software.

Imre Molnar1.   

Abstract

The development of DryLab software is a special achievement in analytical HPLC which took place in the last 16 years. This paper tries to collect some of the historical mile stones and concepts. DryLab, being always subject to change according to the needs of the user, never stopped being developed. Under the influence of an ever changing science market, the DryLab development team had to consider not just scientific improvements, but also new technological achievements, such as the introduction of Windows 1.0 and 3.1, and later Windows NT and 2000. The recent availability of new 32-bit programming tools allowed calculations of chromatograms to be completed more quickly so as to show peak movements which result for example from slight changes in eluent pH. DryLab is a great success of interdisciplinary and intercontinental cooperation by many scientists.

Mesh:

Year:  2002        PMID: 12236524     DOI: 10.1016/s0021-9673(02)00731-8

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  4 in total

1.  An Advanced, Interactive, High-Performance Liquid Chromatography Simulator and Instructor Resources.

Authors:  Paul G Boswell; Dwight R Stoll; Peter W Carr; Megan L Nagel; Mark F Vitha; Gary A Mabbott
Journal:  J Chem Educ       Date:  2013-01-02       Impact factor: 2.979

2.  A simple mathematical treatment for predicting linear solvent strength behavior in gradient elution: Application to biomolecules.

Authors:  Davy Guillarme; Thomas Bouvarel; Florent Rouvière; Sabine Heinisch
Journal:  J Sep Sci       Date:  2022-05-26       Impact factor: 3.614

3.  Development of a Fast and Robust UHPLC Method for Apixaban In-Process Control Analysis.

Authors:  Róbert Kormány; Norbert Rácz; Szabolcs Fekete; Krisztián Horváth
Journal:  Molecules       Date:  2021-06-08       Impact factor: 4.411

Review 4.  Recent applications of retention modelling in liquid chromatography.

Authors:  Mimi J den Uijl; Peter J Schoenmakers; Bob W J Pirok; Maarten R van Bommel
Journal:  J Sep Sci       Date:  2020-11-03       Impact factor: 3.645

  4 in total

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