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Peer-Reviewed Research Database

The science behind the engine

Every compound-food link in CompKitchen comes from a peer-reviewed source. Search 38,144 flavor-relevant papers — part of a 44,648-paper indexed corpus — on aroma compounds, odor thresholds, GC-MS analyses, and sensory studies that power the pairing engine.

From the CompKitchen team
Original research
Featured Preprint · Zenodo · CC BY 4.0

Unsupervised Recovery of Food Taxonomy from Volatile Compound Profiles: A UMAP Analysis of 450 Ingredients

Without supervision or human-coded labels, a UMAP projection of 7,464 volatile compounds across 450 ingredients reproduces conventional food categories — and surfaces cross-category molecular bridges that traditional culinary intuition misses.

Johnson, M. C. (2026). Zenodo. DOI: 10.5281/zenodo.19719459

More original analyses in queue — Rychlik integration writeup and per-compound OAV audits.

44,648
Papers indexed
959
Ingredients cited ⓘ
5,240
Compounds indexed
627,022
Paper–ingredient links
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2025 gc ms

Determination of 229 pesticides residue in edible oil samples using conventional quechers method and solid phase microextraction based on monolithic molecularly imprinted polymer fiber and analysis with GC-MS.

The goal of this research is the development of a solid phase microextraction based on monolithic molecularly imprinted polymer fiber (SPME-MMIPF) method to determine 229 pesticide... Read full abstract on PubMed →

PMID: 40413555 DOI: 10.1186/s13065-025-01518-x Full text on PMC

All paper metadata — titles, authors, journals, years, DOIs — is public bibliographic information. Abstract snippets shown are truncated to fewer than 200 characters and link to the original source on PubMed or the publisher. We never reproduce full text.

Sources: PubMed (US National Library of Medicine), Semantic Scholar, Europe PMC, CORE. Papers are selected by targeted search queries for each ingredient and compound in our database.