Metabolites Method Package
For Lab Solution LCMS and GCMS Solution
Provides ready-to-use methods for over 1900 metabolites
This suite allows comprehensive analysis of over 1900 metabolites without the need for investigation of separation conditions, MRM optimization or parameter settings. The range of metabolites spans both hydrophilic and hydrophobic compounds, including amino acids, short-chain fatty acids, sugars, nucleotides, bile acids, and lipids.
The suite consists of five LC/MS/MS Method Packages including ready-to-use methods for the LCMS-8050/8060 series, the LC/MS/MS MRM Library for Phospholipid Profiling, the Smart Metabolites Database™ for GC/MS(GC/MS/MS), and a Multi-omics Analysis Package.
The Multi-omics Analysis Package included in this product supports not only regular analysis but also large volume data analysis and interpretation. The Multi-omics Analysis Package includes metabolic pathways and other contour maps corresponding to the Method Packages.
This makes it easy to visualize fluctuations in the quantitative values of metabolites across metabolic pathways.
Data filtering functions and statistical analysis can be applied to the network of compound relationships, providing a total solution for metabolite analysis.
Method Selection and Registered Compounds
To start analysis without an investigation of measurement conditions, select a method suited to the analysis aims and the relevant
compounds. Protocols are also included for extraction from biological tissue, plasma, and feces, as well as derivatization and other pretreatments.
Example Analysis: Intestinal Flora Research
Recently the analysis of metabolites in the field of intestinal flora has expanded in scope. Comprehensive analysis includes not only general primary metabolites, but D-amino acids and other chiral molecules as well as lipids and bile acids.
Measurements of mouse feces using this product can detect 554 compounds, as shown in the table.
Multi-omics Analysis Package
With the included Multi-omics Analysis Package, it is possible to display quantitative fluctuations in metabolites on a metabolic
map, and to visualize relationships between metabolites
