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MtoZ Biolabs - Model fatty-acids -Fatty Acids
Fatty acids are a type of carboxylic acids with a long aliphatic chain. Depending on whether the constituent fatty acids contain carbon-carbon double bonds, fatty acids are classified into two types, saturated and unsaturated. Fatty acids are considered as energy pool for organisms, as fatty acids produce large quantity of ATP when metabolized. Based on GC/MS (7890A/5975C) technology and coupled with fatty acid standards, MtoZ Biolabs can identify and quantitate over 40 kinds of fatty acids in your sample. We guarantee accurate analysis of fatty acids molecules even in low abundance. With our optimized sample preparation methods, interference from high-abundance dominant metabolites can be greatly reduced, thus further increasing detecting sensitivity.
List. Quantification of Fatty Acids Using GC/MS (7890A/5975C)
Metabolomics
Quantitative Proteomics
Protein Analysis
MtoZ Biolabs is an integrate contract research organization (CRO) providing advanced proteomics, metabolomics, bioinformatics, and biopharmaceutical analysis services to researchers in biochemistry, biotechnology, and biopharmaceutical fields. The name of MtoZ represents “mass to charge ratio” in mass spectrometry analysis, as most of our services are provided based on our well-established mass spectrometry platforms. Our services allow for the rapid and efficient development of research projects, including protein analysis, proteomics, and metabolomics programs.
MtoZ Biolabs is specialized in quantitative multiplexed proteomics and metabolomics applications through the establishment of state-of-the-art mass spectrometry platforms, coupled with high-performance liquid chromatography technology. We are committed to developing efficient, and effective tools for addressing core bioinformatics problems. With a continuing focus on quality, MtoZ Biolabs is well equipped to help you with your needs in proteomics, metabolomics, bioinformatics, and biopharmaceutical research. Our ultimate aim is to provide more rapid, high-throughput, and cost-effective analysis, with exceptional data quality and minimal sample.
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