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GC-MS/MS Un-targeted Metabolomics

Gas chromatography-mass spectrometry (GC-MS) untargeted metabolomics detects the dynamic changes of most small molecule metabolites in the body before and after the external stimuli. This method focuses on identifying the metabolites with significant changes between the experimental and control groups.

The GC-MS untargeted metabolomics developed by Creative Proteomics is an effective method for both qualitative and quantitative analysis of unknown compounds in mixtures. It can be used for determining the molecular structure and accurate molecular weight of compounds, making it suitable for trace analysis of drugs and metabolites in biological samples and body fluids. The method allows for direct qualitative and quantitative analysis of volatile components, and for non-volatile components and thermally unstable substances, suitable derivatization can be performed before analysis. With high sensitivity, qualitative ability, stability, and reliability, this method can simultaneously complete the separation and identification of the components to be measured.

GC-MS is widely used in metabolomics due to its highly standardized application of electron ionization, which enables the production of extensive and highly reproducible fragmentation patterns. These patterns can provide valuable information for the characterization of metabolites or compound species, even in cases where the obtained mass spectrometry data are not available in the database.

Workflow of GC–MS-based Untargeted metabolomic Analysis

Figure:Workflow of GC–MS-based untargeted metabolomic analysis of urine.
Source (Mohammad Khodadadi et al., Metabolomics 16(6):66 2020)

Application

Phenotype and physiological function research
Disease Pathology Research
Clinical diagnosis and treatment
Drug research
Traditional Chinese medicine research
Food science and nutrition research
Livestock and agroforestry research
Environmental Toxicology Research

Technical Advantages

Mature and stable technology, high resolution and good selectivity
Have a relatively complete database
Suitable for the analysis of complex matrix, providing comprehensive information in one analysis
Automatic peak identification, deconvolution, sample comparison, quality control
Qualitative is more accurate

Service Features

Self-built Database

Using open source databases and self-built database qualitative, the database is mature, and the structure is qualitatively reliable

Strict QC

Adopt the most stringent QC system to ensure the qualitative and quantitative results of each project

Advanced Platform

Using Agilent 7890B-5977A platform with high sensitivity, strong qualitative ability, stable and reliable

Wide Dynamic Range

Different processing methods are conducive to the detection of small molecules with various properties, covering multiple categories of metabolites such as amino acids, organic acids, carbohydrates, fatty acids, lipids, nucleotides, and polyamines

Different Approaches:

1. Derivatization is suitable for detecting small molecular metabolites with strong polarity;

2. Non-derivatization is suitable for detecting small molecule metabolites with lower boiling points;

3. Solid-phase microextraction-headspace sampling is suitable for detecting volatile aroma or flavor substances.

Sample Requirements

Serum, plasma: 200 uL/sample

Urine: l mL/sample

Tissue: 200 mg/sample

Stool, intestinal contents: 200 mg/sample

Cells, microorganisms: 1x 107cells/sample

Culture fluid: 200 uL/sample

Biological Repeats

Number of samples: plant and microorganism n≥6, animal samples n≥10, clinical samples n≥30

Instrumentation

Aglient 7890B-5977A; Agilent 7890B-5977B (headspace); Thermo TSQ 9000

Metabolomics Sample Submission Guidelines

Download our Metabolomics Sample Preparation Guide for essential instructions on proper sample collection, storage, and transport for optimal experimental results. The guide covers various sample types, including tissues, serum, urine, and cells, along with quantity requirements for untargeted and targeted metabolomics.

Download

Metabolomics Sample Submission Guidelines

* For Research Use Only. Not for use in diagnostic procedures.

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From Our Clients

"I recently used their proteomics service for a project analyzing protein interactions in yeast models. The team was very responsive and helped clarify the methodology they employed, which made me feel confident in the results. The data quality was solid, with clear identification of several key proteins involved in our study. Their thorough analysis enabled me to pinpoint specific interactions that I hadn't considered before, which significantly improved the direction of my research. I appreciate their professionalism and support throughout the process."

Sarah Thompson, University of California, Berkeley

"Our lab collaborated with them on a project studying cancer biomarkers. The proteomics analysis provided was detailed and focused, specifically highlighting the differential expression of proteins between healthy and tumor samples. Their clear explanations of the data helped my team understand the biological implications. I also appreciated their willingness to revise the reports based on our feedback, ensuring that we had everything we needed for our publication. This collaborative spirit was invaluable."

Emily Rodriguez, Stanford University

"Our lab worked with them on a project studying the effects of diet on gut microbiota using proteomics. They used a label-free quantification method to analyze proteins in fecal samples before and after dietary intervention. The results showed significant changes in protein expression linked to microbial activity. This was pivotal for our hypothesis about diet-microbiota interactions. The clarity of their data presentation made it easy for our team to integrate these findings into our ongoing research."

Dr. Lisa Wong, University of Toronto

"My experience with Creative Proteomics during the mass spectrometry analysis was excellent. We sent in human saliva and mouse brain tissue samples, which they expertly analyzed using both LC-MS and GC-MS techniques. The results were invaluable, revealing key metabolites in the saliva and identifying biomarkers linked to brain function in the brain tissue."

Dr. Emily Carter, Senior Research Scientist

"The overall service from Creative Proteomics was outstanding. They made the entire process seamless and efficient, allowing us to focus on our research. We worked with leaf and root samples from various Arabidopsis genotypes for targeted metabolomics analysis. Their thorough profiling of primary and secondary metabolites gave us important insights into how the plants respond metabolically to environmental stress."

Dr. Laura Henderson, Plant Physiologist

"We had a pleasant collaboration with Creative Proteomics on mass spectrometry analysis of lipids. They conducted a detailed analysis of lipid species, providing us with important insights into lipid metabolism and its relationship with metabolic syndrome disease states."

Dr. Sarah Mitchell, Research Scientist

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