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Exploratory & Validated Panels

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Validated Panels

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R Rigorous Quality Control

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About Validated Panels

With more than 20 validated panels and single analyte assays providing absolute, reproducible quantification for more than 450 biochemicals in a variety of different matrices, Metabolon provides the best possible coverage for analytes and biomarkers of significance for all applications and therapeutic areas.

When you purchase any Metabolon Target targeted panel or assay, you benefit from the rigor and expertise of Metabolon’s metabolomics specialists. Every method is fully validated covering precision, accuracy, extraction recovery, carryover, selectivity, benchtop stability, and freeze/thaw stability. This enables you to be confident in the quality and reliable nature of your data, letting you focus on identifying important scientific insights.

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Validated Targeted Panels and Assays

The table below is a summary of our most popular validated panels, providing quantification for a series of analytes and biomarkers in various sample types.

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Validated Panels
Service Name Biomarkers Cells Tissue Plasma Serum Urine Feces Feces (OMNImet®•GUT tubes) Dried Blood Spots Saliva Sebum (Sebutape® strips) Stratum Corneum (D-Squame® discs)
Amino Acids Targeted Panel 22 ✓ ✓
Beta-hydroxybutyrate (BHBA) Single Analyte Assay 1 ✓ ✓
Bile Acids Targeted Panel 21 ✓ ✓ ✓ ✓ ✓
C4 Single Analyte Assay 1 ✓ ✓
Cannabinoids Targeted Panel 31 ✓
Central Carbons Targeted Panel 7 ✓ ✓ ✓ ✓
Complex Lipids Targeted Panel 1100 ✓ ✓ ✓ ✓ ✓
Creatinine Single Analyte Assay 1 ✓ ✓ ✓
Diabetes Research Markers Targeted Panel 22 ✓
Fatty Acids Metabolism Targeted Panel 26 ✓ ✓
Free Fatty Acids Targeted Panel 7 ✓ ✓ ✓
Impaired Glucose Tolerance Targeted Panel 8 ✓
Indoles/Uremic Toxicity Targeted Panel 6 ✓ ✓
Insulin Resistance Targeted Panel 4 ✓
Lipid Mediators of Inflammation Targeted Panel 57 ✓
Metal Analysis Targeted Panel 23 ✓ ✓ ✓
Oxysterols Targeted Panel 12 ✓
Salivary Glucose Single Analyte Assay 1 ✓
Sebum Targeted Panel 944 ✓
Short Chain Fatty Acids Targeted Panel 9 ✓ ✓ ✓ ✓
Sphingolipids Targeted Panel 56 ✓ ✓
Stratum Corneum Targeted Panel 350 ✓ ✓
Tryptophan/Kynurenine Ratio Targeted Panel 2 ✓ ✓

Delivering Absolute Quantification for Research and Biomarker Analysis

Our readily available or custom developed quantitative assays help you achieve your research and biomarker validation objectives with precise and fully validated methods. Our targeted assays and panels cover >1,000 metabolites and lipids across a wide range of biochemical classes, metabolic pathways, and physiological processes, and they can be customized to best fit any application.

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Validated Panels Details

Our Quality—ISO 9001:2015 Certified Method Development

Achieving absolute quantification for a panel of biomarkers in a reproducible, cost-effective manner is heavily dependent on the quality of the method and technologies being used. Metabolon offers three levels of sample validation: Exploratory (research-oriented, minimal validation), RUO (Routine Use Only), and GCP/GCLP (Good Clinical Practice / Good Clinical Laboratory Practice).

All methods at Metabolon are validated to adhere to the ISO-9001:2015 certified quality system. Validation experiments are based on the FDA, EMA, and ICH M10 Bioanalytical Guidance. All data are peer-reviewed, and a summary report containing the results of the validation experiment is provided.

For GCP/GCLP validation, all experiments and acceptance criteria strictly adhere to the FDA, EMA, and ICH M10 Bioanalytical Guidance. All GCP/GCLP studies are peer-reviewed, and audited by the Metabolon Quality Assurance Department. A validation report containing all of the elements listed in the M10 Bioanalytical Guidance is provided.

The table below outlines all evaluated parameters for Exploratory, RUO, and GCP/GCLP standards.

ISO 9001

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Method Validation Offerings
Evaluated Parameters Exploratory RUO GCP/GCLP
Linearity, Accuracy, and Precision of Calibration Standards ✓ (1 run) (3 runs) (3 runs)
QC Precision Accuracy ✓ ✓ (3 levels) ✓ (3 levels)
Lower Limit of Quantitation ✓ (1 run) ✓ (3 runs) ✓ (3 runs)
Selectivity ✓ (1 run) ✓ (3 runs) ✓ (3 runs)
Carryover ✓ (1 run) ✓ (3 runs) ✓ (3 runs)
Dilution Accuracy ✕ ✓ ✓
Extraction Recovery (also used to show accuracy) ✕ ✓ ✓
Sample Stability Testing – Benchtop Stability ✕ ✓ ✓
Sample Stability Testing – Freeze/Thaw Stability ✕ ✓ ✓
Secondary Instrument ✕ ✕ ✓
Parallelism ✕ ✕ ✓
Matrix Effect Testing ✕ ✕ ✓
Specificity ✕ ✕ ✓
Sample Stability Testing – Long-Term Stability ✕ ✕ ✓
Extract Stability Testing ✕ ✕ ✓
Run Injection Stability Testing ✕ ✕ ✓
Solution Stability Testing ✕ ✕ ✓
QA Review ✕ ✕ ✓
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Big Insights with Metabolon

Cited in over 3,000 publications, we help scientists and manufacturers gain greater insight into their studies through metabolomics. See how our approach can become a successful part of your workflow.

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Related Metabolomics Resources

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Request a quote for our services, get more information on sample types and handling procedures, request a letter of support, or submit a question about how metabolomics can advance your research.

Corporate Headquarters

617 Davis Drive, Suite 100
Morrisville, NC 27560

Mailing Address:
P.O. Box 110407
Research Triangle Park, NC 27709

+1 (919) 572-1711

+1 (919) 572-1721
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References

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2. Bryant, J.A., et al., The impact of an oral purified microbiome therapeutic on the gastrointestinal microbiome. Nat Med, 2026. 32(1): p. 186-196

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9. Fritsch, D.A., et al., Microbiome function underpins the efficacy of a fiber-supplemented dietary intervention in dogs with chronic large bowel diarrhea. BMC Vet Res, 2022. 18(1): p. 245.

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15. Li, C., et al., Estradiol and mTORC2 cooperate to enhance prostaglandin biosynthesis and tumorigenesis in TSC2-deficient LAM cells. J Exp Med, 2014. 211(1): p. 15-28.

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18. Wu, D., et al., Integrated screens reveal that guanine nucleotide depletion, which is irreversible via targeting IMPDH2, inhibits pancreatic cancer and potentiates KRAS inhibition. Gut, 2026.

19. Schwerdtfeger, L.A., et al., Gut microbiota and metabolites are linked to disease progression in multiple sclerosis. Cell Rep Med, 2025. 6(4): p. 102055.

20. Wu, H., et al., Microbiome-metabolome dynamics associated with impaired glucose control and responses to lifestyle changes. Nat Med, 2025. 31(7): p. 2222-2231.

21. Jacobs, J.P., et al., Cognitive behavioral therapy for irritable bowel syndrome induces bidirectional alterations in the brain-gut-microbiome axis associated with gastrointestinal symptom improvement. Microbiome, 2021. 9(1): p. 236.

22. Pietzner, M., et al., Plasma metabolites to profile pathways in noncommunicable disease multimorbidity. Nat Med, 2021. 27(3): p. 471-479.

23. Faquih, T.O., et al., Robust Metabolomic Age Prediction Based on a Wide Selection of Metabolites. J Gerontol A Biol Sci Med Sci, 2025. 80(3).

24. Scherer, N., et al., Coupling metabolomics and exome sequencing reveals graded effects of rare damaging heterozygous variants on gene function and human traits. Nat Genet, 2025. 57(1): p. 193-205.

25. Holmes, Z.C., et al., Untargeted metabolomic analysis of human milk from healthy mothers reveals drivers of metabolite variability. Sci Rep, 2024. 14(1): p. 20827.

26. Titz, B., et al., Implications of Ocular Confounding Factors for Aqueous Humor Proteomic and Metabolomic Analyses in Retinal Diseases. Transl Vis Sci Technol, 2024. 13(6): p. 17.

27. Bloom, S.M., et al., Cysteine dependence of Lactobacillus iners is a potential therapeutic target for vaginal microbiota modulation. Nat Microbiol, 2022. 7(3): p. 434-450.

28. Leimer, E.M., et al., Lipid profile of human synovial fluid following intra-articular ankle fracture. J Orthop Res, 2017. 35(3): p. 657-666.