Research Topic

Multi-Dimensional Separations and Instrumental Ensembles for Expanding the Coverage of Metabolomics

About this Research Topic

The metabolome is composed of chemically diverse metabolites that dramatically vary in their abundance. The broad dynamic range and chemical complexity represent significant challenges in metabolomics. Multi-dimensional separation techniques and complex instrumental ensembles are needed to increase the separation power and resolution. These include multi-dimensional chromatographic and ion mobility separations, as well as complex instrumental ensembles such as UHPLC-MS-NMR.

This Research Topic is intended to highlight recent research trends in multi-dimensional separations and/or complex instrumental ensembles to advance the utility and coverage of metabolomics. Areas to be covered include:
 - Technology development (e.g. multi-dimensional chromatographic separations (LCxLC, GCxGC), xC-ion mobility separations, xC-MS-NMR, etc.);
 - Multi-dimensional separations coupled to high-resolution MS metabolomics strategies and techniques;
 - Application of multi-dimensional separation technologies in metabolomics that advance our metabolic understanding of complex biological systems and samples;
 - New method developments in multi-dimensional chromatographic separations;
 - Computational methods to improve the prediction or interpretation of CCS values, retention times or retention indices.

Both original research as well as review articles will be accepted for this Research Topic. The manuscripts should cover one or more of the following themes:

• Ion mobility separation of isobaric compounds to increase metabolite coverage breadth;
• Ion mobility database generation (e.g. CCS data library, CCS prediction, CCS modeling);
• Two-dimensional chromatographic separations in metabolomics;
• New methods for detection of quantification of specialized metabolites (e.g. methods for glycan analysis, bile acid analysis, organic acid analysis, etc.);
• Metabolite identification using multi-dimensional separations and complex instrumental ensembles;
• Retention time or retention index prediction/modeling to assist with compound identification.

A list of accepted article types including descriptions can be found at this link.


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

The metabolome is composed of chemically diverse metabolites that dramatically vary in their abundance. The broad dynamic range and chemical complexity represent significant challenges in metabolomics. Multi-dimensional separation techniques and complex instrumental ensembles are needed to increase the separation power and resolution. These include multi-dimensional chromatographic and ion mobility separations, as well as complex instrumental ensembles such as UHPLC-MS-NMR.

This Research Topic is intended to highlight recent research trends in multi-dimensional separations and/or complex instrumental ensembles to advance the utility and coverage of metabolomics. Areas to be covered include:
 - Technology development (e.g. multi-dimensional chromatographic separations (LCxLC, GCxGC), xC-ion mobility separations, xC-MS-NMR, etc.);
 - Multi-dimensional separations coupled to high-resolution MS metabolomics strategies and techniques;
 - Application of multi-dimensional separation technologies in metabolomics that advance our metabolic understanding of complex biological systems and samples;
 - New method developments in multi-dimensional chromatographic separations;
 - Computational methods to improve the prediction or interpretation of CCS values, retention times or retention indices.

Both original research as well as review articles will be accepted for this Research Topic. The manuscripts should cover one or more of the following themes:

• Ion mobility separation of isobaric compounds to increase metabolite coverage breadth;
• Ion mobility database generation (e.g. CCS data library, CCS prediction, CCS modeling);
• Two-dimensional chromatographic separations in metabolomics;
• New methods for detection of quantification of specialized metabolites (e.g. methods for glycan analysis, bile acid analysis, organic acid analysis, etc.);
• Metabolite identification using multi-dimensional separations and complex instrumental ensembles;
• Retention time or retention index prediction/modeling to assist with compound identification.

A list of accepted article types including descriptions can be found at this link.


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

About Frontiers Research Topics

With their unique mixes of varied contributions from Original Research to Review Articles, Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author.

Topic Editors

Loading..

Submission Deadlines

18 December 2020 Abstract
30 April 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

Loading..

Topic Editors

Loading..

Submission Deadlines

18 December 2020 Abstract
30 April 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

Loading..
Loading..

total views article views article downloads topic views

}
 
Top countries
Top referring sites
Loading..