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    Microbial Metabolomics

      Microbial Metabolomics is a scientific technique for systematically studying small molecule metabolites and their metabolic pathways in microorganisms. These metabolites play key roles in environmental adaptation, biodegradation, industrial fermentation, and pathogenicity. Using high-sensitivity techniques such as high-performance liquid chromatography-mass spectrometry (LC-MS), microbial metabolomics comprehensively analyzes and identifies metabolites in microorganisms, revealing their dynamic changes and functions under different environmental conditions and physiological states. This is essential for understanding microbial ecological functions, optimizing fermentation processes, and developing new antimicrobial drugs and bioproducts.

       

      MtoZ Biolabs utilizes high performance liquid chromatography-mass spectrometry (HPLC-MS) for microbial metabolomics. This advanced technology combines efficient HPLC separation with sensitive MS detection, ensuring accurate identification and quantification of various metabolites in complex microbial samples.

       

      Analysis Workflow

       

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      Service Advantages

       

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      Applications

      • Environmental Microbiology Research: Study the functions and roles of microorganisms in the environment, revealing their ecological roles.
      • Industrial Microbiology Research: Analyze changes in microbial metabolites during industrial fermentation processes, optimizing production processes and increasing yields.
      • Medical Microbiology Research: Uncover the metabolic characteristics of pathogenic microorganisms, aiding in disease diagnosis and treatment.
      • Microbial Ecology Research: Study the metabolic networks of microbial communities, revealing interactions between microorganisms and their hosts and environments.

       

      Deliverables

      1. Experimental Procedures

      2. Relevant Mass Spectrometry Parameters

      3. Detailed Information on Microbial Metabolites

      4. Mass Spectrometry Images

      5. Raw Data

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