Quantification and isotope abundance determination of


Journal

Analytical methods : advancing methods and applications
ISSN: 1759-9679
Titre abrégé: Anal Methods
Pays: England
ID NLM: 101519733

Informations de publication

Date de publication:
02 11 2023
Historique:
medline: 3 11 2023
pubmed: 19 10 2023
entrez: 19 10 2023
Statut: epublish

Résumé

Metabolic flux analysis (MFA) using stable isotope labeled tracers is a powerful tool to estimate fluxes through metabolic pathways. It finds applications in studying metabolic changes in diseases, regulation of cellular energetics, and novel strategies for metabolic engineering. Accurate and precise quantification of the concentration of metabolites and their labeling states is critical for correct MFA results. Utilizing an ultra-high performance liquid chromatography-high resolution mass spectrometry (UHPLC-HRMS) system, an analytical method for simultaneously quantifying the concentration of sugar metabolites and their mass isotopologue distribution (MID) was developed. The method performs with good linearity and coefficient of determination (

Identifiants

pubmed: 37855701
doi: 10.1039/d3ay01178j
doi:

Substances chimiques

Sugars 0
Carbon Isotopes 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

5666-5673

Auteurs

Yameng Zhao (Y)

Department of Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China. leiwensrici@163.com.
Shanghai Research Institute of Chemical Industry Co., Ltd, Shanghai, China.

Ruoning Fan (R)

Shanghai Research Institute of Chemical Industry Co., Ltd, Shanghai, China.

Chuyao Wang (C)

Shanghai Research Institute of Chemical Industry Co., Ltd, Shanghai, China.

Sen Xu (S)

Shanghai Research Institute of Chemical Industry Co., Ltd, Shanghai, China.

Long Xie (L)

Shanghai Research Institute of Chemical Industry Co., Ltd, Shanghai, China.

Jinghua Hou (J)

Shanghai Research Institute of Chemical Industry Co., Ltd, Shanghai, China.

Wen Lei (W)

Shanghai Research Institute of Chemical Industry Co., Ltd, Shanghai, China.

Jianjun Liu (J)

Department of Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China. leiwensrici@163.com.

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Classifications MeSH