Metabolites Method Package Suite
For LabSolutions™ LCMS and GCMSsolution™

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.
Features
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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.
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Recently the analysis of metabolites in the field of intestinal flora has expanded in scope.
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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.
News / Events
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Shimadzu has released the LC/MS/MS Methid Package for Glycosaminoglycans
The study of Glycosaminoglycans (GAGs) or mucopolysaccharides, and enzymes involved in GAG metabolism is an important aspect of clinical research related to lysosomal storage. Quantitation of GAGs in bones, joints, the brain, heart, lungs, and other organs is a useful tool in this field of study. GAGs can be quantitated by measuring the sulfated disaccharides produced by enzymatic degradation of GAGs. The research group led by Hironori Kobayashi of Shimane University Hospital, Clinical Laboratory Division, has been instrumental in the development of methods for the detection of sulfated disaccharides by LC/MS.
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Shimadzu has released the LC/MS/MS Method Package for PFAS in Drinking Water.
Provides procedures and methods for analyzing organofluorine compounds in drinking water according to EPA methods 533 and 537.1
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Shimadzu has released the CoreFocus Library.
CoreFocus Library is a digital library where you can find and learn different methods for analyzing your target compounds.
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Shimadzu has released the Peakintelligence™
Peakintelligence is a world-first algorithm incorporating AI assistance to search for chromatography peaks. Having learnt peak processing skills from experienced users, the AI can process data with the same skill level. The algorithm can be implemented immediately without adjusting any parameters, and reduce wrong detection by 1/3 compared conventional algorithm with default setting.
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Shimadzu has released the Multi-omics Analysis Package
The Multi-omics Analysis Package is metabolic engineering software that can automatically generate metabolic maps and perform a variety of data analysis based on the vast amounts of mass spectrometry data generated in fields such as metabolomics, proteomics, and flux analysis
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Shimadzu has released the LC/MS/MS MRM Library for Triglycerides.
This MRM library targets fatty acids with carbon chain lengths of C14 to C22 and 0 to 6 unsaturation sites to profile the triglycerides (TG) in plasma. The library provides 195 MRM transitions, which enable 47 different triglycerides to be monitored. The MRMs were evaluated in human plasma in order to provide researchers a tool for qualitative profiling of fatty acid composition.