Literature DB >> 27178151

Program for the interpretive optimization of two-dimensional resolution.

Bob W J Pirok1, Sandra Pous-Torres2, Cassandra Ortiz-Bolsico2, Gabriel Vivó-Truyols3, Peter J Schoenmakers3.   

Abstract

The challenge of fully optimizing LC×LC separations is horrendous. Yet, it is essential to address this challenge if sophisticated LC×LC instruments are to be utilized to their full potential in an efficient manner. Currently, lengthy method development is a major obstacle to the proliferation of the technique, especially in industry. A program was developed for the rigorous optimization of LC×LC separations, using gradient-elution in both dimensions. The program establishes two linear retention models (one for each dimension) based on just two LC×LC experiments. It predicts LC×LC chromatograms using a simple van-Deemter model to generalize band-broadening. Various objectives (analysis time, resolution, orthogonality) can be implemented in a Pareto-optimization framework to establish the optimal conditions. The program was successfully applied to a separation of a complex mixture of 54 aged, authentic synthetic dyestuffs, separated by ion-exchange chromatography and ion pair chromatography. The main limitation experienced was the retention-time stability in the first (ion-exchange) dimension. Using the PIOTR program LC×LC method development can be greatly accelerated, typically from a few months to a few days.
Copyright © 2016 Elsevier B.V. All rights reserved.

Keywords:  LC×LC; Pareto-optimality; interpretive optimization; method development; retention prediction; synthetic dyes

Mesh:

Substances:

Year:  2016        PMID: 27178151     DOI: 10.1016/j.chroma.2016.04.061

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


  6 in total

Review 1.  Recent applications of chemometrics in one- and two-dimensional chromatography.

Authors:  Tijmen S Bos; Wouter C Knol; Stef R A Molenaar; Leon E Niezen; Peter J Schoenmakers; Govert W Somsen; Bob W J Pirok
Journal:  J Sep Sci       Date:  2020-03-19       Impact factor: 3.645

2.  Peak-Tracking Algorithm for Use in Automated Interpretive Method-Development Tools in Liquid Chromatography.

Authors:  Bob W J Pirok; Stef R A Molenaar; Liana S Roca; Peter J Schoenmakers
Journal:  Anal Chem       Date:  2018-11-15       Impact factor: 6.986

3.  Characterization of Dye Extracts from Historical Cultural-Heritage Objects Using State-of-the-Art Comprehensive Two-Dimensional Liquid Chromatography and Mass Spectrometry with Active Modulation and Optimized Shifting Gradients.

Authors:  Bob W J Pirok; Mimi J den Uijl; Giacomo Moro; Sanne V J Berbers; Charlotte J M Croes; Maarten R van Bommel; Peter J Schoenmakers
Journal:  Anal Chem       Date:  2019-02-01       Impact factor: 6.986

4.  Computer-Aided Rapid Establishment of Fingerprint of Xiaojin Capsule by HPLC.

Authors:  Hui Jiang; Yuansheng Xiao; Xingya Xue; Hongli Jin; Yang Xiang; Yanfang Liu; Gaowa Jin
Journal:  Int J Anal Chem       Date:  2021-01-16       Impact factor: 1.885

Review 5.  Optimizing separations in online comprehensive two-dimensional liquid chromatography.

Authors:  Bob W J Pirok; Andrea F G Gargano; Peter J Schoenmakers
Journal:  J Sep Sci       Date:  2017-11-23       Impact factor: 3.645

Review 6.  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

  6 in total

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