Liquid chromatography–mass spectrometry–based metabolomics approaches for foodomics research

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985823%3A_____%2F24%3A00588483" target="_blank" >RIV/67985823:_____/24:00588483 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1016/j.cofs.2024.101201" target="_blank" >https://doi.org/10.1016/j.cofs.2024.101201</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.cofs.2024.101201" target="_blank" >10.1016/j.cofs.2024.101201</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Liquid chromatography–mass spectrometry–based metabolomics approaches for foodomics research

Popis výsledku v původním jazyce

This review discusses the current and future potential of liquid chromatography–mass spectrometry (LC-MS)-based metabolomics approaches in foodomics studies, focusing primarily on literature from 2019 to 2024. Critical aspects of sample preparation are emphasized, including handling diverse sample types, adopting extraction methods such as all-in-one extraction for broad metabolite coverage, and using 96-well-plate formats for high-throughput studies. LC-MS platforms are highlighted, encompassing stationary phase chemistries, the selection of mobile phase modifiers, and strategies for rapid LC separations, including options for acquiring tandem mass spectrometry spectra. The review addresses data processing, pitfalls during metabolite annotation, and quality control measures crucial for ensuring reliable outcomes in metabolomics studies. Tools for statistical analysis and data interpretation are also discussed. Data sharing, metabolite reporting, and efforts toward standardization of metabolomics methods are emphasized as essential practices in foodomics research. Overall, the review provides a comprehensive overview of recent advances in metabolomics, offering insights relevant to foodomics studies.

Název v anglickém jazyce

Liquid chromatography–mass spectrometry–based metabolomics approaches for foodomics research

Popis výsledku anglicky

This review discusses the current and future potential of liquid chromatography–mass spectrometry (LC-MS)-based metabolomics approaches in foodomics studies, focusing primarily on literature from 2019 to 2024. Critical aspects of sample preparation are emphasized, including handling diverse sample types, adopting extraction methods such as all-in-one extraction for broad metabolite coverage, and using 96-well-plate formats for high-throughput studies. LC-MS platforms are highlighted, encompassing stationary phase chemistries, the selection of mobile phase modifiers, and strategies for rapid LC separations, including options for acquiring tandem mass spectrometry spectra. The review addresses data processing, pitfalls during metabolite annotation, and quality control measures crucial for ensuring reliable outcomes in metabolomics studies. Tools for statistical analysis and data interpretation are also discussed. Data sharing, metabolite reporting, and efforts toward standardization of metabolomics methods are emphasized as essential practices in foodomics research. Overall, the review provides a comprehensive overview of recent advances in metabolomics, offering insights relevant to foodomics studies.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10406 - Analytical chemistry

Projekt

<a href="/cs/project/LX22NPO5104" target="_blank" >LX22NPO5104: Národní institut pro výzkum metabolických a kardiovaskulárních onemocnění</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Current Opinion in Food Science

ISSN

2214-7993

e-ISSN

2214-8000

Svazek periodika

58

Číslo periodika v rámci svazku

August

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

13

Strana od-do

101201

Kód UT WoS článku

001288824100001

EID výsledku v databázi Scopus

2-s2.0-85200209684