Arome Science helps research teams uncover biologically meaningful metabolites through high-resolution mass spectrometry, advanced computational workflows, and advanced molecular networking. From microbiome studies to translational research, we deliver clear, interpretable metabolomics data designed to move discovery forward.
Four integrated analytical workflows tailored to your specific study pipelines and discovery goals.
High-confidence quantitative analysis of predefined metabolites and pathway-specific panels. Ideal for validation studies, biomarker verification, and translational research.
Broad, unbiased metabolite profiling designed to discover novel biomarkers, generate hypotheses, and capture system-wide metabolic changes.
A hybrid approach that combines broad metabolite coverage with targeted analytical confidence, using verified libraries to reduce ambiguity from unknown features.
Specialized LC-MS/MS and GC-MS assay development for unique metabolite classes, conjugates, and novel biomarkers beyond standard commercial panels.
Arome Science provides optimized metabolomics workflows across a diverse range of biological sample types. Utilizing matrix-specific extraction protocols and tailored LC-MS/MS and GC-MS methods, we ensure maximum metabolite recovery, high reproducibility, and rigorous data quality across standard biofluids, tissue samples, cell-based models, and challenging microbiome-related matrices.
We streamline data processing, rigorous statistical analysis, and biological interpretation to transform raw mass spectrometry outputs into actionable research insights.
Strategic experimental planning aligned with project goals, optimizing sample sizing, collection strategies, and analytical parameters before testing begins.
Advanced workflows for feature alignment, normalization, batch-effect mitigation, and strict quality control to ensure robust, reproducible downstream analysis.
Tailored univariate and multivariate statistical modeling, including dimensional reduction and differential abundance testing, optimized for complex dataset structures.
Functional pathway enrichment and study-level interpretation to seamlessly connect metabolic alterations to your underlying biological questions.
We combine flexible analytical workflows, LC-MS/MS and GC-MS expertise, and collaborative scientific support to deliver clear, interpretable metabolomics data.
We tailor metabolomics workflows to your study goals, sample type, and research question, including non-standard matrices, custom pathways, and unique metabolite classes.
Our dual-platform approach supports broader metabolite coverage across volatile, polar, and non-polar compounds.
Work with experienced mass spectrometry and bioinformatics specialists who can support study design, method selection, data interpretation, and reporting.
We provide clear reports, well-documented data processing, and interpretable results without unnecessary black-box complexity.
Our streamlined workflow helps research teams move from sample submission to actionable metabolomics data efficiently.
Microbiome-focused innovation supporting infant health research.
Skin microbiome science focused on practical, research-driven approaches to skin health.
Collaboration focused on advancing and validating metabolomics testing for broader access.
Our work spans translational, microbiome, and disease-focused metabolomics studies.
Support biomarker discovery, patient stratification, and precision medicine research by profiling changes in lipid, carbohydrate, and amino acid metabolism.
Map biochemical signatures linked to metabolic dysfunction, liver health, and low-grade inflammation to support research into disease risk and progression-related phenotypes.
Investigate host-microbiome co-metabolism, microbial biotransformations, and metabolite-driven biological effects through high-resolution readouts of microbial and host activity.
Arome Science brings together experts in mass spectrometry, translational metabolomics, microbiome science, computational biology, and laboratory operations.
Co-Founder & Chief Executive Officer
Leading scalable multi-omics workflows that connect microbial chemistry, metabolomics data, and human health research.
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Co-Founder & Chief Scientific Officer
Advancing mass spectrometry and computational metabolomics methods for discovery, translational, and microbiome research.
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Scientific Co-Founder
Co-creator of GNPS and a leader in molecular networking, spatial metabolomics, and computational approaches for untargeted MS data.
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Data Analysis Lead
Creator of SortMeRNA, developing computational workflows that turn complex longitudinal microbiome and metabolomics data into interpretable results.
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Chief Technology Officer
Award-winning computational scientist and ADAP-KDB developer, building tools for untargeted MS data processing and unknown compound prioritization.
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Senior Scientist
Optimizing multidimensional biological assays to ensure enterprise-grade reproducibility and analytical precision.
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Our team will assess feasibility and recommend the most appropriate metabolomics approach.
