Establishment of local searching methods for orbitrap-based high throughput metabolomics analysis

Area of Science:

• Metabolomics
• Biochemistry
• Analytical Chemistry

Background:

• Traditional metabolite database construction requires expensive chemical standards, limiting accessibility for many research laboratories.
• Reliance on public libraries for metabolomics analysis is time-consuming and restricts high-throughput capabilities.

Purpose of the Study:

• To develop an economical method for establishing local endogenous metabolite databases.
• To provide a foundation for high-throughput untargeted metabolomics analysis using Orbitrap technology.
• To enable cost-effective metabolomics research for biomarker discovery and functional investigations.

Main Methods:

• A novel approach utilizing biological sample analysis and mathematical extrapolation to construct metabolite databases.
• Implementation of a strategy to bypass the need for purchasing chemical standards.
• Establishment of a high-throughput Orbitrap-based metabolomics platform.

Main Results:

• Successful creation of local endogenous metabolite databases without the expense of chemical standards.
• Demonstrated feasibility of establishing a high-throughput metabolomics platform at minimal cost.
• Reduced time and cost associated with building essential metabolomic resources.

Conclusions:

• The developed method offers an economical and efficient solution for creating local metabolite databases.
• This strategy significantly facilitates high-throughput untargeted metabolomics analysis.
• Empowers research labs to conduct advanced metabolomics studies for identifying disease biomarkers and exploring biological functions.