Proteomics coupled machine learning-innovative approach in geographical origin authentication of green Coffea arabica.
- DOI
- 10.1016/j.foodchem.2025.145784
- Published
- 2025 Nov 30
- Container
- Food chemistry
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.foodchem.2025.145784,
title = {Proteomics coupled machine learning-innovative approach in geographical origin authentication of green Coffea arabica.},
author = {Belej Ľ and Demianová A and Danchenko M and Mishra S and Baráth P and Jurčaga L and Lidiková J and Bobko M and Poláková K and Švecová T and Bobková A},
year = {2025},
journal = {Food chemistry},
doi = {10.1016/j.foodchem.2025.145784},
url = {https://doi.org/10.1016/j.foodchem.2025.145784}
}RIS
TY - JOUR TI - Proteomics coupled machine learning-innovative approach in geographical origin authentication of green Coffea arabica. AU - Belej Ľ AU - Demianová A AU - Danchenko M AU - Mishra S AU - Baráth P AU - Jurčaga L AU - Lidiková J AU - Bobko M AU - Poláková K AU - Švecová T AU - Bobková A PY - 2025 JO - Food chemistry DO - 10.1016/j.foodchem.2025.145784 UR - https://doi.org/10.1016/j.foodchem.2025.145784 ER -
APA
Ľ, B., A, D., M, D., S, M., P, B., L, J., J, L., M, B., K, P., T, Š., & A, B. (2025). Proteomics coupled machine learning-innovative approach in geographical origin authentication of green Coffea arabica.. Food chemistry. https://doi.org/10.1016/j.foodchem.2025.145784
Source records
- pubmed · retrieved 2026-09-26T13:20:59.710Z