Literature DB >> 29254568

Enhanced fluidity liquid chromatography of inulin fructans using ternary solvent strength and selectivity gradients.

Raffeal Bennett1, Susan V Olesik2.   

Abstract

The value of exploring selectivity and solvent strength ternary gradients in enhanced fluidity liquid chromatography (EFLC) is demonstrated for the separation of inulin-type fructans from chicory. Commercial binary pump systems for supercritical fluid chromatography only allow for the implementation of ternary solvent strength gradients which can be restrictive for the separation of polar polymeric analytes. In this work, a custom system was designed to extend the capability of EFLC to allow tuning of selectivity or solvent strength in ternary gradients. Gradient profiles were evaluated using the Berridge function (RF1), normalized resolution product (NRP), and gradient peak capacity (Pc). Selectivity gradients provided the separation of more analytes over time. The RF1 function showed favor to selectivity gradients with comparable Pc to that of solvent strength gradients. NRP did not strongly correlate with Pc or RF1 score. EFLC with the hydrophilic interaction chromatography, HILIC, separation mode was successfully employed to separate up to 47 fructan analytes in less than 25 min using a selectivity gradient.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Enhanced-fluidity liquid chromatography; Fructooligosaccharides; Hydrophilic interaction liquid chromatography; Selectivity gradient; Subcritical fluid chromatography

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Year:  2017        PMID: 29254568     DOI: 10.1016/j.aca.2017.10.036

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  1 in total

1.  Mutations in Rht-B1 Locus May Negatively Affect Frost Tolerance in Bread Wheat.

Authors:  Gabriella Szalai; Mihály Dernovics; Orsolya Kinga Gondor; Judit Tajti; Anna Borbála Molnár; Magdalena Anna Lejmel; Svetlana Misheva; Viktória Kovács; Magda Pál; Tibor Janda
Journal:  Int J Mol Sci       Date:  2022-07-19       Impact factor: 6.208

  1 in total

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