Integrated Metabolomics and Machine Learning Reveal Drying‐Dependent Phenolic Markers in Asteraceae Edible Plants From Ulleungdo Island
In Young Lee, Doo‐Hee Lee, Ju Hong Park, Nami Joo · 2026
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Description
In Young Lee, Doo-Hee Lee, Ju Hong Park, and Nami Joo report a two thousand twenty-six study of dried edible plants from a Korean island. Ulleungdo's wild greens are traditionally blanched and sun-dried. How that handling changes their chemistry was poorly understood.
Three related species were profiled with sensitive chemical instruments. Over one hundred compounds were identified across freeze-dried and sun-dried samples. Species identity drove the biggest differences. Traditional drying cut fragile flavonoid compounds, while coffee-like acid compounds survived well. Machine learning picked out marker chemicals for each drying style, useful for quality checks.
Catalog record
| CREATOR | In Young Lee, Doo‐Hee Lee, Ju Hong Park, Nami Joo |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 53 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |