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Organization

DIETARY MOLECULAR DIAGNOSTICS SL

Spanish SME applying metabolomics and analytical chemistry to personalised nutrition and functional food ingredient development.

Technology SMEhealthESSMENo active H2020 projectsThin data (2/5)
H2020 projects
2
As coordinator
2
Total EC funding
€208K
Unique partners
0
What they do

Their core work

Dietary Molecular Diagnostics SL is a Spanish technology SME based in Lleida that applies metabolomics and analytical chemistry to food and nutrition science. Their work spans two distinct but connected domains: valorising agricultural waste streams into functional food ingredients (specifically dietary fibres with cholesterol-lowering potential), and using metabolic profiling to personalise sports nutrition and training protocols. As the coordinator of an MSCA Individual Fellowship, they also function as a host institution for applied research, bridging academic expertise with commercial nutrition product development. Their core commercial value lies in translating molecular-level dietary data into actionable health and performance outcomes.

Core expertise

What they specialise in

Metabolomics and molecular diagnosticsprimary
1 project

PERMETFIT (2017–2020) explicitly applies personalised metabolomics to fitness and training optimisation, forming the scientific backbone of the company's name and positioning.

Functional food ingredient developmentprimary
1 project

FIBRACEP (2017–2018) focused on extracting dietary fibre from European onion waste by-products and formulating it as a hypocholesterolaemic ingredient.

Analytical chemistry for food and nutritionsecondary
1 project

PERMETFIT lists Analytical Chemistry as a core keyword, indicating their capacity to characterise bioactive compounds and metabolic markers at a laboratory level.

1 project

FIBRACEP targeted onion processing waste, demonstrating expertise in circular bioeconomy approaches applied to the food supply chain.

Sports and exercise scienceemerging
1 project

PERMETFIT's Sports Science keyword signals applied work at the intersection of nutrition, metabolomics, and athletic performance — a niche but growing market.

Evolution & trajectory

How they've shifted over time

Early focus
Dietary fibre, food waste valorisation
Recent focus
Personalised metabolomics, sports nutrition

Both projects launched simultaneously in 2017, which makes a true chronological shift difficult to assess — there is no pre-2017 H2020 baseline and no post-2020 project in this dataset. However, the two projects together reveal a deliberate dual-track strategy from the outset: FIBRACEP addressed ingredient commercialisation for general health (a Phase 1 SME Instrument feasibility study), while PERMETFIT pursued deeper scientific capability via an MSCA fellowship in personalised metabolomics and sports performance. The absence of keywords for FIBRACEP and their presence only for PERMETFIT suggests the metabolomics/sports science track is where the organisation has built its more formalised research identity. If FIBRACEP was the commercial proof-of-concept and PERMETFIT was the scientific infrastructure play, the direction points toward precision nutrition as the primary growth axis.

Based on their MSCA fellowship investment and keyword profile, they appear to be building toward precision and personalised nutrition services — using metabolic diagnostics as a differentiator in both sports performance and preventive health markets.

Collaboration profile

How they like to work

Role: consortium_leaderReach: Local

Dietary Molecular Diagnostics has acted as coordinator in both of their H2020 projects, indicating a preference — or capability — for leading rather than following. However, the recorded consortium partner count is zero, suggesting these projects were structured as solo or bilateral engagements (the MSCA fellowship model inherently involves a single researcher plus host, not a multi-partner consortium). This profile suggests a small, focused organisation comfortable running tight, self-directed projects but with limited experience navigating large multi-country consortia. Potential partners should expect a hands-on, technically driven counterpart rather than a large project management structure.

Their recorded H2020 network shows zero unique consortium partners and no cross-border collaborations registered in the data, which is consistent with their use of SME Instrument (solo applicant) and MSCA-IF (host + fellow model). Their effective scientific network likely exists outside formal CORDIS consortia — through the researcher they hosted and through their local agri-food ecosystem in Catalonia.

Why partner with them

What sets them apart

Dietary Molecular Diagnostics occupies a rare intersection: a commercial SME that simultaneously holds competence in food ingredient development (circular economy, fibre extraction) and in metabolomics-based personalisation for performance and health. Most actors in this space are either food ingredient suppliers or clinical diagnostics labs — this organisation bridges both. For consortium builders, they offer a commercially-oriented SME perspective on precision nutrition topics that is currently underrepresented in H2020 participation data for Spain.

Notable projects

Highlights from their portfolio

  • PERMETFIT
    The largest of their two projects (€158,122) and their most scientifically ambitious — an MSCA Individual Fellowship applying personalised metabolomics to sports training, reflecting investment in deep research capability rather than simple product development.
  • FIBRACEP
    An SME Instrument Phase 1 feasibility study on converting onion processing waste into a cholesterol-lowering dietary fibre formula — a concrete circular bioeconomy application with direct market pathway.
Cross-sector capabilities
foodenvironmentsociety
Analysis note: Only 2 projects, both starting in 2017 — no timeline evolution can be meaningfully assessed. Zero consortium partners recorded limits network analysis entirely. The MSCA-IF model means partner counts are structurally low, not necessarily indicative of isolation. Profile is plausible but thin; confidence rises only if additional commercial activity, publications, or post-2020 projects exist outside this dataset.