Nontargeted metabolomics‐based discrimination of the geographical origin of <scp> <i>P</i> </scp> <i>teridium aquilinum</i> using liquid chromatography–high‐resolution mass spectrometry and machine learning
- DOI
- 10.1002/jsfa.71237
- Published
- 2026-11-09
- Container
- Journal of the Science of Food and Agriculture
- Publisher
- Wiley
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1002/jsfa.71237,
title = {Nontargeted metabolomics‐based discrimination of the geographical origin of
<scp>
<i>P</i>
</scp>
<i>teridium aquilinum</i>
using liquid chromatography–high‐resolution mass spectrometry and machine learning},
author = {Subin Gwon and Kyeongnam Kim and Ho Jin Kim and Chaeeun Kim and Hwang‐Ju Jeon},
year = {2026},
journal = {Journal of the Science of Food and Agriculture},
doi = {10.1002/jsfa.71237},
url = {https://doi.org/10.1002/jsfa.71237}
}RIS
TY - JOUR
TI - Nontargeted metabolomics‐based discrimination of the geographical origin of
<scp>
<i>P</i>
</scp>
<i>teridium aquilinum</i>
using liquid chromatography–high‐resolution mass spectrometry and machine learning
AU - Subin Gwon
AU - Kyeongnam Kim
AU - Ho Jin Kim
AU - Chaeeun Kim
AU - Hwang‐Ju Jeon
PY - 2026
JO - Journal of the Science of Food and Agriculture
DO - 10.1002/jsfa.71237
UR - https://doi.org/10.1002/jsfa.71237
ER - APA
Gwon, S., Kim, K., Kim, H. J., Kim, C., & Jeon, H. (2026). Nontargeted metabolomics‐based discrimination of the geographical origin of <scp> <i>P</i> </scp> <i>teridium aquilinum</i> using liquid chromatography–high‐resolution mass spectrometry and machine learning. Journal of the Science of Food and Agriculture. https://doi.org/10.1002/jsfa.71237
Source records
- crossref · retrieved 2026-11-10T19:06:43.222Z