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Lipidomics is a study of composition and quantification of lipids at a systematic level, so as to uncover the interactions between lipids and other macromolecules, and the mechanisms of lipids in regulating biological activities. At present, LC-MS and shotgun lipidomics are two mainstream technology for lipidomics analysis. LC-MS utilizes high-throughput liquid chromatography system to separate lipids based on their physical and chemical properties, followed by mass spectrometry analysis. Whereas, shotgun lipidomics is independent of liquid chromatography technology, and separates lipids through intrasource separation system, which adjusts pH value of solution and changes the ionization status of lipids, followed by direct infusion into mass spectrometer for lipids identification.

LC-MS is a powerful tool for discovery lipidomics, as LC-MS usually achieves detection of lipids at ppm level and accurate analysis of lipids side chains through MS2 fragmentation. Whereas, shotgun lipidomics is more widely used for (semi)-quantitation of targeted lipids. MtoZ Biolabs provides both LC-MS and shotgun lipidomics services to meet your specific needs.

Lipids Classes

Service Workflow

Advantage of our Lipidomics Service

• Professional and customized experimental design to meet your research requirements
• Multiple choices of state-of-the-art analytical platforms for reaching a higher level both in depth and scope
• Lower sample demand
• Stringent quality control system covering the entire analytical processes, ensuring acquisition of high-quality data
• Compatible with a variety of types of samples, ranging from all kinds of tissues and cell samples to body fluids, etc.

Sample Types

Sample Requirement

*Note: We will perform testing experiments before we start official experiments. To ensure the most cost-effective and accurate analysis is provided, only qualified samples will proceed to the official analysis.


• Experiment procedures
• Parameters of liquid chromatography and mass spectrometer
• MS raw data files
• MS data quality checks
• Metabolites quantification data
• Bioinformatics analysis (PCA, KEGG, etc)

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