Metabolomics testing and analysis services provide end-to-end solutions for profiling small-molecule metabolites in biological systems, supporting biomarker discovery, pathway elucidation, and translational research. By combining advanced LC-MS/MS, GC-MS, and NMR platforms with rigorous bioinformatics pipelines, professional metabolomics laboratories deliver reproducible, publication-quality data for pharmaceutical, clinical, agricultural, and food science applications.
Technical Overview
Metabolomics is the systematic study of small-molecule metabolites, typically under 1,500 Da, within cells, tissues, organs, or biological fluids. As the downstream endpoint of the "omics" cascade, the metabolome directly reflects biochemical activity and provides a functional readout of gene expression, protein regulation, and environmental influences. Professional metabolomics testing and analysis services enable researchers to capture this molecular snapshot with high sensitivity, wide coverage, and quantitative accuracy.
A complete metabolomics service workflow encompasses experimental design, sample preparation and extraction, instrument acquisition, raw data processing, metabolite identification and quantification, statistical analysis, and biological interpretation. Analysts typically screen and identify metabolites against authoritative databases such as HMDB (Human Metabolome Database), KEGG, METLIN, mzCloud, and LipidMaps, and map altered metabolites onto metabolic pathways to reveal underlying biological mechanisms.
- Untargeted metabolomics for global discovery of differential metabolites
- Targeted metabolomics for absolute quantification of defined metabolite panels
- Widely targeted metabolomics combining broad coverage with quantitative rigor
- Lipidomics for comprehensive lipid class and species profiling
- Integrated multi-omics correlation with transcriptomics and proteomics data
Quality assurance is maintained throughout the workflow through the use of pooled quality control (QC) samples, internal standards, system suitability tests, blank controls, and replicate injections. Typical QC acceptance criteria include retention time drift below 30 seconds, mass accuracy within 5 ppm for high-resolution instruments, and QC sample relative standard deviation (RSD) generally below 30% for identified metabolites.
Testing Samples
Biofluid Samples
Biofluids are the most commonly submitted specimen type due to minimally invasive collection and rich metabolic information. Standard requirements include 100–500 µL of plasma or serum (collected with EDTA or heparin anticoagulant tubes, avoiding hemolysis), 1–5 mL of urine (preferably morning midstream samples normalized to creatinine or osmolality), and cerebrospinal fluid, saliva, synovial fluid, or amniotic fluid in volumes above 100–200 µL. All biofluids should be centrifuged to remove cells or particulates, aliquoted to avoid repeated freeze-thaw cycles, and stored at -80°C.
Tissue Samples
Animal tissues such as liver, brain, kidney, heart, tumor, and intestinal mucosa should be rapidly excised, rinsed with cold PBS to remove blood contamination, blotted dry, snap-frozen in liquid nitrogen, and stored at -80°C. Recommended submission quantities are 50–200 mg per sample. Plant tissues, including leaves, roots, stems, flowers, fruits, and seeds, should be harvested at consistent developmental stages and time points, immediately flash-frozen, and submitted at 100–500 mg fresh weight.
Cell Samples
Cultured cells (adherent or suspension) are collected at defined confluence or treatment endpoints, rapidly quenched to halt metabolism, washed with isotonic solutions, and pelleted. Typical submission includes 1×10⁷ cells per sample for untargeted profiling or 5×10⁶ cells for targeted assays. Cell culture medium samples can be analyzed in parallel to capture secreted and consumed metabolites.
Fecal and Microbial Samples
Fecal samples, intestinal contents, and digesta are widely used for microbiome-associated metabolomics, including short-chain fatty acid profiling and bile acid metabolism studies. Samples should be collected fresh, frozen immediately, and submitted at 100–500 mg. Caecal content and rumen fluid are also accepted for livestock research.
Food and Environmental Samples
Services also accept food matrices such as grains, tea, wine, dairy products, and fermented beverages for nutritional and authenticity studies, as well as environmental samples including soil extracts, water samples, and plant rhizosphere material for ecological metabolomics.
Testing Items
Metabolomics testing services cover a broad chemical space spanning amino acids, organic acids, carbohydrates, lipids, nucleotides, vitamins, alkaloids, flavonoids, phenolic acids, terpenoids, benzene-substituted compounds, and xenobiotic metabolites. Core service categories include:
- Untargeted metabolomics: unbiased global profiling for biomarker discovery, typically detecting thousands of features with pathway-level interpretation
- Targeted metabolomics: absolute quantification of defined panels such as amino acids (30–60 species), organic acids, TCA cycle intermediates, bile acids, steroid hormones, neurotransmitters, free fatty acids, acylcarnitines, and tryptophan-pathway metabolites
- Widely targeted metabolomics: a hybrid approach using a curated MS/MS spectral library covering 1,000–3,000 metabolites with MRM-based quantification, ideal for plant metabolomics and large-cohort studies
- Lipidomics: profiling of glycerophospholipids, glycerolipids, sphingolipids, sterol lipids, and fatty acids across lipid classes and molecular species
- Short-chain fatty acid analysis: quantification of acetate, propionate, butyrate, isobutyrate, valerate, and isovalerate in feces, blood, and intestinal contents
- Untargeted and targeted flux analysis using stable isotope labeling (¹³C, ¹⁵N, ²H tracers) to measure metabolic pathway activity
Testing Methods
Instrument selection depends on metabolite polarity, volatility, abundance, and study objectives. Modern service laboratories employ complementary chromatographic and detection platforms to maximize coverage.
Liquid Chromatography–Mass Spectrometry (LC-MS/MS)
UHPLC coupled to high-resolution mass spectrometry (QTOF or Orbitrap) is the workhorse for untargeted metabolomics, offering high sensitivity, wide dynamic range, and accurate-mass measurement. Reverse-phase C18 columns separate semi-polar and non-polar metabolites, while HILIC (hydrophilic interaction chromatography) columns retain polar compounds such as amino acids, sugars, and nucleotides. Electrospray ionization (ESI) in both positive and negative modes is used to broaden detectable chemical space. Triple quadrupole instruments operating in multiple reaction monitoring (MRM) mode deliver gold-standard quantification for targeted panels with isotopically labeled internal standards.
Gas Chromatography–Mass Spectrometry (GC-MS)
GC-MS is preferred for volatile and thermally stable compounds, including short-chain fatty acids, organic acids, sugars, sugar alcohols, and amino acids after derivatization (for example, methoximation and silylation with MSTFA). Electron ionization (EI) provides reproducible fragmentation patterns that match NIST library spectra for confident identification.
Nuclear Magnetic Resonance Spectroscopy (NMR)
¹H-NMR requires minimal sample preparation, is non-destructive, and provides absolute quantification with high reproducibility. It is well suited for flux analysis, urine profiling, and studies requiring structural confirmation, although sensitivity is lower than MS-based approaches.
Data Processing and Bioinformatics
Raw data undergo peak extraction, alignment, normalization, and annotation using software such as Compound Discoverer, XCMS, MS-DIAL, Progenesis QI, or SIMCA. Statistical workflows include univariate analysis (t-test, ANOVA with FDR correction) and multivariate analysis (PCA, PLS-DA, OPLS-DA), with differential metabolites selected based on variable importance in projection (VIP) scores, fold change, and statistical significance. Functional interpretation involves KEGG pathway enrichment, MetaboAnalyst integration, and correlation networks linking metabolites to genes, proteins, or clinical phenotypes.
Applications
Metabolomics testing and analysis services support research and industrial applications across life sciences, medicine, agriculture, and beyond.
- Disease biomarker discovery: identifying diagnostic, prognostic, and predictive metabolite signatures for cancer, diabetes, obesity, cardiovascular disease, non-alcoholic fatty liver disease, kidney disease, and neurodegenerative disorders
- Drug development: pharmacodynamic biomarker validation, drug mechanism-of-action studies, toxicity screening, and pharmacometabolomics for personalized dosing
- Gut microbiome research: linking microbial composition to host metabolism through short-chain fatty acids, bile acids, tryptophan catabolites, and indole derivatives
- Plant and crop science: elucidating stress responses, secondary metabolite biosynthesis, quality traits, and transgenic or breeding program characterization
- Food science and nutrition: nutritional composition analysis, authenticity verification, fermentation monitoring, shelf-life studies, and dietary intervention trials
- Environmental and toxicology studies: assessing pollutant exposure, ecological stress, and organism-level metabolic responses
- Animal and veterinary science: livestock health monitoring, feed efficiency, and aquaculture research
FAQ
Below are answers to frequently asked questions regarding sample submission, project timelines, and data deliverables.
How many biological replicates are recommended?
For discovery experiments, at least 6–10 biological replicates per group for animal or cell studies and 20–30 per group for clinical cohorts are recommended to ensure statistical power. For targeted validation, larger cohorts are typically required.
How should samples be stored and shipped?
Samples should be stored at -80°C and shipped on dry ice to maintain sample integrity. Avoid repeated freeze-thaw cycles and ensure tubes are clearly labeled and sealed with parafilm. Blood-derived samples should be separated and frozen within 30–60 minutes of collection.
What is the typical turnaround time?
Standard projects are generally completed within 25–45 working days from sample receipt, depending on sample quantity, assay complexity, and data analysis depth. Rush services may be available upon request.
What deliverables are provided?
Deliverables typically include a comprehensive experimental report, raw data files, metabolite identification results with database matches and confidence levels, quantitative results, QC metrics, multivariate statistical charts, differential metabolite volcano plots and heatmaps, KEGG pathway enrichment figures, and mapping results.
Can metabolomics data be integrated with other omics data?
Yes. Joint pathway analysis and correlation modeling (for example, O2PLS and weighted gene co-metabolite network analysis) allow integration with transcriptomics, proteomics, and 16S rRNA sequencing data to construct multi-dimensional regulatory networks.
How is metabolite identification confidence handled?
Identifications are typically assigned according to MSI (Metabolomics Standards Initiative) confidence levels, ranging from Level 1 (confirmed by authentic standards with matching retention time and MS/MS spectra) to Level 4 (unknown features). Levels 2 and 3 rely on accurate mass and spectral library similarity.