Kit Specifications

Complete technical parameters, performance metrics, and compatibility information for the Metabolon Verus™ Metabolomics Profiling Kit.

Metabolon Verus Kits reagents product image

Kit Specifications

Complete technical parameters, performance metrics, and compatibility information for the Metabolon Verus™ Metabolomics Profiling Kit.

kits reagents

What’s in the Kit

Kit Format

Plate format 96-well plate
Sample wells per plate 84 wells
QC wells per plate 12 (8 Kit QC + 4 blanks)
Minimum project size 15 samples
Maximum project size 1,512 samples / 18 plates
Multi-project per plate Supported
Supported sample types Plasma (EDTA), Serum, Urine
More to follow

Reagents and Standards

Extraction method All extraction protocols for each matrix provided (includes recovery standards)
Reconstitution solution Contains 11 standards for each mode
High-molecular weight internal standard Included
Shipping Room temperature
Storage 4° C
Automation compatible Yes

Instrument Requirements

LC platform Waters Acquity I-Class UPLC
Thermo Vanquish Flex or Horizon
Mass spec platform Thermo Scientific Orbitraps
  • Tribrids (IDX/IQX)
  • Orbitrap Exploris series (120/240/480)
  • Q Exactive (Plus and UHMR)
More instruments to follow
Software required Xcalibur 4.2 or higher Freestyle 1.8 or higher Tune Software 2.11 or higher
Analysis platform Integrated Bioinformatics Platform (web-based)
Column (not included) Waters BEH C18 (2.1 × 100 mm, 1.7 µm) column is required for this kit (not included)

What’s in the Kit

Kit Format

Plate format 96-well plate
Sample wells per plate 84 wells
QC wells per plate 12 (8 Kit QC + 4 blanks)
Minimum project size 15 samples
Maximum project size 1,512 samples / 18 plates
Multi-project per plate Supported
Supported sample types Plasma (EDTA), Serum, Urine
More to follow

Reagents and Standards

Extraction method All extraction protocols for each matrix provided (includes recovery standards)
Reconstitution solution Contains 11 standards for each mode
High-molecular weight internal standard Included
Shipping Room temperature
Storage 4° C
Automation compatible Yes

Instrument Requirements

LC platform Waters Acquity I-Class UPLC
Thermo Vanquish Flex or Horizon
Mass spec platform Thermo Scientific Orbitraps
  • Tribrids (IDX/IQX)
  • Orbitrap Exploris series (120/240/480)
  • Q Exactive (Plus and UHMR)
More instruments to follow
Software required Xcalibur 4.2 or higher Freestyle 1.8 or higher Tune Software 2.11 or higher
Analysis platform Integrated Bioinformatics Platform (web-based)
Column (not included) Waters BEH C18 (2.1 × 100 mm, 1.7 µm) column is required for this kit (not included)

Coverage, Performance and Quality

Coverage and Performance
Quality and Workflow

Metabolite Coverage Parameters

Parameter Specification Status
Metabolite search list ~1,500 metabolites Validated *
Plasma readout > 700 metabolites Validated *
Urine readout > 700 metabolites Validated *
Biological sub-pathways covered 100+ pathways searched
80+ pathways detected
Validated *
Identification level 80% Level 1, 20% Level 2 Library-confirmed
Confidence Score Lenses Tailor coverage and accuracy Unique to Metabolon

* Tested across six independent laboratories

QA/QC and Analytical Performance

The QA/QC framework begins with a System Suitability Test (SST), which confirms instrument readiness prior to sample processing. This encompasses verification of extraction solvent composition, column configuration, instrument calibration, and correct method file setup. Following plate acquisition, a Plate QC report is generated that evaluates run quality across key parameters including retention time deviation, instrument sensitivity, and mass accuracy.

QC Measure Specification Metric
System Suitability Test (SST) Pre-extracted pooled human plasma Results in ~30 min
Plate QC (PQC) Lyophilized plasma co-extracted with samples Results in ~2 hours
Internal standards
(positive and negative mode)
11 per mode; retention, peak shape, ionization monitoring < 10% RSD
Workflow Specification Time
Hands-on time Include instrument setup, samples extraction and SST/PQC review 10 hours
Instrument time Positive ionization 24hrs
Negative ionization 24hrs
48 hours
Full workflow From sample extraction to data insight 5 days

* Tested across six independent laboratories

Coverage, Performance and Quality

Coverage and Performance
Quality and Workflow

Metabolite Coverage Parameters

Parameter Specification Status
Metabolite search list ~1,500 metabolites Validated *
Plasma readout > 700 metabolites Validated *
Urine readout > 700 metabolites Validated *
Biological sub-pathways covered 100+ pathways searched
80+ pathways detected
Validated *
Identification level 80% Level 1, 20% Level 2 Library-confirmed
Confidence Score Lenses Tailor coverage and accuracy Unique to Metabolon

* Tested across six independent laboratories

QA/QC and Analytical Performance

The QA/QC framework begins with a System Suitability Test (SST), which confirms instrument readiness prior to sample processing. This encompasses verification of extraction solvent composition, column configuration, instrument calibration, and correct method file setup. Following plate acquisition, a Plate QC report is generated that evaluates run quality across key parameters including retention time deviation, instrument sensitivity, and mass accuracy.

QC Measure Specification Metric
System Suitability Test (SST) Pre-extracted pooled human plasma Results in ~30 min
Plate QC (PQC) Lyophilized plasma co-extracted with samples Results in ~2 hours
Internal standards
(positive and negative mode)
11 per mode; retention, peak shape, ionization monitoring < 10% RSD
Workflow Specification Time
Hands-on time Include instrument setup, samples extraction and SST/PQC review 10 hours
Instrument time Positive ionization 24hrs
Negative ionization 24hrs
48 hours
Full workflow From sample extraction to data insight 5 days

* Tested across six independent laboratories

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the Metabolon Verus™ Kit?

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the Metabolon Verus™ Kit?

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

3. McGovern, B .H., et al., SER-109, an Investigational Microbiome Drugto Reduce Recurrence After Clostridioides difficile Infection: Lessons Learned From a Phase 2 Trial. Clin Infect Dis, 2021. 72(12): p. 2132-2140.

4. Feuerstadt, P., et al., SER-109, an Oral Microbiome Therapy for Recurrent Clostridioides difficile Infection. N Engl J Med, 2022. 386(3): p. 220-229.

5. Hu, Z., et al., Targeted metabolomics reveals novel diagnostic biomarkers for colorectal cancer. Mol Oncol, 2025. 19(6): p. 1737-1750.

6. Butler, F.M., et al., Vegetarian Dietary Patterns and Diet-Related Metabolites Are Associated With Kidney Function in the Adventist Health Study-2 Cohort. J Ren Nutr, 2025.

7. Stanford, J., et al., Metabolomic Profiling and Diet Quality Scoring in a Randomized Crossover Trial of Healthy and Typical Dietary Patterns. Mol Nutr Food Res, 2025 . 69(23): p. e70271.

8. O’Connor, L.E., et al., Metabolomic Profiling of an Ultraprocessed Dietary Pattern in a Domiciled Randomized Controlled Crossover Feeding Trial. J Nutr, 2023. 153(8): p. 2181-2192.

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.

10. Leal, L.N., et al., Preweaning nutrient supply improves lactation productivity and reduces the risk of culling in Holstein cows. J Dairy Sci, 2025. 108(6): p. 5875-5888.

11. Ahsin, M., et al., Soil and pasture health underlie improved beef nutrient density determined by untargeted metabolomics in Southern US grass finished beef systems. NPJ Sci Food, 2025. 9(1): p. 151.

12. Yin, W., et al., Plasma lipid profiling across species for the identification of optimal animal models of human dyslipidemia. J Lipid Res, 2012. 53(1): p. 51-65.

13. Porter, F .D., et al., Cholesterol oxidation products are sensitive and specific blood-based biomarkers for Niemann-Pick C1 disease. Sci Transl Med, 2010. 2(56): p. 56ra81.

14. Needham, B .D., et al., Plasma and Fecal Metabolite Profiles in Autism Spectrum Disorder. Biol Psychiatry, 2021. 89(5): p. 451-462

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.

16. Green, P.G., et al., Metabolic flexibility and reverse remodelling of the failing human heart. Eur Heart J, 2025. 46(25): p. 2422-2433.

17. Maekawa, H., et al., SGLT2 inhibition protects kidney function by SAM-dependent epigenetic repression of inflammatory genes under metabolic stress. J Clin Invest, 2025. 135(19).

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.

Instrument Requirements

LC platform Waters Acquity I-Class UPLC
Thermo Vanquish Flex or Horizon
Mass spec platform Thermo Scientific Orbitraps
  • Tribrids (IDX/IQX)
  • Orbitrap Exploris series (120/240/480)
  • Q Exactive (Plus and UHMR)
More instruments to follow
Software required Xcalibur 4.2 or higher Freestyle 1.8 or higher Tune Software 2.11 or higher
Column (not included) Waters BEH C18 (2.1 × 100 mm, 1.7 µm) column is required for this kit (not included)

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