Literature DB >> 27591659

Chemometric analysis of comprehensive LC×LC-MS data: Resolution of triacylglycerol structural isomers in corn oil.

Meritxell Navarro-Reig1, Joaquim Jaumot1, Teris A van Beek2, Gabriel Vivó-Truyols3, Romà Tauler4.   

Abstract

Comprehensive hyphenated two-dimensional liquid chromatography mass spectrometry (LC×LC-MS) is a very powerful analytical tool achieving high throughput resolution of highly complex natural samples. However, even using this approach there is still the possibility of not resolving some of the analytes of interest. For instance, triacylglycerols (TAGs) structural isomers in oil samples are extremely difficult to separate chromatographically due to their very similar structure and chemical properties. Traditional approaches based on current vendor chromatographic software cannot distinguish these isomers from their different mass spectral features. In this work, a chemometric approach is proposed to solve this problem. First, the experimental LC×LC-MS data structure is discussed, and results achieved by different methods based on the fulfilment of the trilinear model are compared. Then, the step-by-step resolution and identification of strongly coeluted compounds from different examples of triacylglycerols (TAGs) structural isomers in corn oil samples are described. As a conclusion, the separation power of two-dimensional chromatography can be significantly improved when it is combined with the multivariate curve resolution method.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  LC×LC-MS; MCR-ALS; PARAFAC; Structural isomers; Triacylglycerols; Trilinearity

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Year:  2016        PMID: 27591659     DOI: 10.1016/j.talanta.2016.08.005

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  3 in total

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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.  Macrolipidomic Profiling of Vegetable Oils: The Analysis of Sunflower Oils with Different Oleic Acid Content.

Authors:  Juan J Aristizabal-Henao; Ken D Stark
Journal:  Methods Mol Biol       Date:  2022

Review 3.  How to identify "Material basis-Quality markers" more accurately in Chinese herbal medicines from modern chromatography-mass spectrometry data-sets: Opportunities and challenges of chemometric tools.

Authors:  Min He; Yu Zhou
Journal:  Chin Herb Med       Date:  2020-08-06
  3 in total

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