Mara, A.; Migliorini, M.; Ciulu, M.; Chignola, R.; Egido, C.; Núñez, O.; Sentellas, S.; Saurina, J.; Caredda, M.; Deroma, M.A.;
et al. Elemental Fingerprinting Combined with Machine Learning Techniques as a Powerful Tool for Geographical Discrimination of Honeys from Nearby Regions. Foods 2024, 13, 243.
https://doi.org/10.3390/foods13020243
AMA Style
Mara A, Migliorini M, Ciulu M, Chignola R, Egido C, Núñez O, Sentellas S, Saurina J, Caredda M, Deroma MA,
et al. Elemental Fingerprinting Combined with Machine Learning Techniques as a Powerful Tool for Geographical Discrimination of Honeys from Nearby Regions. Foods. 2024; 13(2):243.
https://doi.org/10.3390/foods13020243
Chicago/Turabian Style
Mara, Andrea, Matteo Migliorini, Marco Ciulu, Roberto Chignola, Carla Egido, Oscar Núñez, Sònia Sentellas, Javier Saurina, Marco Caredda, Mario A. Deroma,
and et al. 2024. "Elemental Fingerprinting Combined with Machine Learning Techniques as a Powerful Tool for Geographical Discrimination of Honeys from Nearby Regions" Foods 13, no. 2: 243.
https://doi.org/10.3390/foods13020243
APA Style
Mara, A., Migliorini, M., Ciulu, M., Chignola, R., Egido, C., Núñez, O., Sentellas, S., Saurina, J., Caredda, M., Deroma, M. A., Deidda, S., Langasco, I., Pilo, M. I., Spano, N., & Sanna, G.
(2024). Elemental Fingerprinting Combined with Machine Learning Techniques as a Powerful Tool for Geographical Discrimination of Honeys from Nearby Regions. Foods, 13(2), 243.
https://doi.org/10.3390/foods13020243
