Literature DB >> 30604951

Column Characterization and Selection Systems in Reversed-Phase High-Performance Liquid Chromatography.

Petar Žuvela1, Magdalena Skoczylas2, J Jay Liu3, Tomasz Ba Czek, Roman Kaliszan, Ming Wah Wong1, Bogusław Buszewski2, Károly Héberger.   

Abstract

Reversed-phase high-performance liquid chromatography (RP-HPLC) is the most popular chromatographic mode, accounting for more than 90% of all separations. HPLC itself owes its immense popularity to it being relatively simple and inexpensive, with the equipment being reliable and easy to operate. Due to extensive automation, it can be run virtually unattended with multiple samples at various separation conditions, even by relatively low-skilled personnel. Currently, there are >600 RP-HPLC columns available to end users for purchase, some of which exhibit very large differences in selectivity and production quality. Often, two similar RP-HPLC columns are not equally suitable for the requisite separation, and to date, there is no universal RP-HPLC column covering a variety of analytes. This forces analytical laboratories to keep a multitude of diverse columns. Therefore, column selection is a crucial segment of RP-HPLC method development, especially since sample complexity is constantly increasing. Rationally choosing an appropriate column is complicated. In addition to the differences in the primary intermolecular interactions with analytes of the dispersive (London) type, individual columns can also exhibit a unique character owing to specific polar, hydrogen bond, and electron pair donor-acceptor interactions. They can also vary depending on the type of packing, amount and type of residual silanols, "end-capping", bonding density of ligands, and pore size, among others. Consequently, the chromatographic performance of RP-HPLC systems is often considerably altered depending on the selected column. Although a wide spectrum of knowledge is available on this important subject, there is still a lack of a comprehensive review for an objective comparison and/or selection of chromatographic columns. We aim for this review to be a comprehensive, authoritative, critical, and easily readable monograph of the most relevant publications regarding column selection and characterization in RP-HPLC covering the past four decades. Future perspectives, which involve the integration of state-of-the-art molecular simulations (molecular dynamics or Monte Carlo) with minimal experiments, aimed at nearly "experiment-free" column selection methodology, are proposed.

Entities:  

Year:  2019        PMID: 30604951     DOI: 10.1021/acs.chemrev.8b00246

Source DB:  PubMed          Journal:  Chem Rev        ISSN: 0009-2665            Impact factor:   60.622


  21 in total

Review 1.  Phenolic compounds in common buckwheat sprouts: composition, isolation, analysis and bioactivities.

Authors:  Ahmad Rois Mansur; Sang Gil Lee; Bong-Han Lee; Sang Gyu Han; Sung-Won Choi; Won-Jae Song; Tae Gyu Nam
Journal:  Food Sci Biotechnol       Date:  2022-03-19       Impact factor: 3.231

2.  Investigation of stationary phases performance for eicosanoids profiling in RP-HPLC.

Authors:  Kodjo Nouwade; Sana Tfaili; Pierre Chaminade
Journal:  Anal Bioanal Chem       Date:  2021-09-02       Impact factor: 4.142

3.  Prediction of Chromatographic Elution Order of Analytical Mixtures Based on Quantitative Structure-Retention Relationships and Multi-Objective Optimization.

Authors:  Petar Žuvela; J Jay Liu; Ming Wah Wong; Tomasz Bączek
Journal:  Molecules       Date:  2020-07-06       Impact factor: 4.411

4.  Theoretical Analysis of Efficiency of Multi-Layer Core-Shell Stationary Phases in the High Performance Liquid Chromatography of Large Biomolecules.

Authors:  Szabolcs Horváth; Fabrice Gritti; Róbert Kormány; Krisztián Horváth
Journal:  Molecules       Date:  2019-08-06       Impact factor: 4.411

5.  Quantitative Structure-Retention Relationships with Non-Linear Programming for Prediction of Chromatographic Elution Order.

Authors:  J Jay Liu; Alham Alipuly; Tomasz Bączek; Ming Wah Wong; Petar Žuvela
Journal:  Int J Mol Sci       Date:  2019-07-12       Impact factor: 5.923

6.  Discrimination of the Geographical Origin of the Lateral Roots of Aconitum carmichaelii Using the Fingerprint, Multicomponent Quantification, and Chemometric Methods.

Authors:  Lu-Lin Miao; Qin-Mei Zhou; Cheng Peng; Chun-Wang Meng; Xiao-Ya Wang; Liang Xiong
Journal:  Molecules       Date:  2019-11-14       Impact factor: 4.411

7.  Lipophilicity Determination of Antifungal Isoxazolo[3,4-b]pyridin-3(1H)-ones and Their N1-Substituted Derivatives with Chromatographic and Computational Methods.

Authors:  Krzesimir Ciura; Joanna Fedorowicz; Filip Andrić; Petar Žuvela; Katarzyna Ewa Greber; Paweł Baranowski; Piotr Kawczak; Joanna Nowakowska; Tomasz Bączek; Jarosław Sączewski
Journal:  Molecules       Date:  2019-11-26       Impact factor: 4.411

8.  Comparison of the Retention and Separation Selectivity of Aromatic Hydrocarbons with Polar Groups in RP-HPLC Systems with Different Stationary Phases and Eluents.

Authors:  Anna Klimek-Turek; Beata Misiołek; Tadeusz H Dzido
Journal:  Molecules       Date:  2020-11-01       Impact factor: 4.411

9.  Mechanistic Chromatographic Column Characterization for the Analysis of Flavonoids Using Quantitative Structure-Retention Relationships Based on Density Functional Theory.

Authors:  Bogusław Buszewski; Petar Žuvela; Gulyaim Sagandykova; Justyna Walczak-Skierska; Paweł Pomastowski; Jonathan David; Ming Wah Wong
Journal:  Int J Mol Sci       Date:  2020-03-17       Impact factor: 5.923

10.  Extraction and Determination of Polar Bioactive Compounds from Alfalfa (Medicago sativa L.) Using Supercritical Techniques.

Authors:  Olga Wrona; Katarzyna Rafińska; Justyna Walczak-Skierska; Cezary Możeński; Bogusław Buszewski
Journal:  Molecules       Date:  2019-12-16       Impact factor: 4.411

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