PUBLICACIÓN

Chemical-instrumental-sensory traits and data mining for classifying dry-cured Iberian shoulders from pigs with different diets

ACCEDER A LA PUBLICACIÓN: Scopus Orcid

Daniel Caballero, María Asensio, Carlos Fernández, Raquel Reina, Juan García-Casco, Noelia Martín, Antonio Silva

2019 Journal of Food Measurement and Characterization

Chemical Engineering (miscellaneous) (Q2), Food Science (Q2), Industrial and Manufacturing Engineering (Q2), Safety, Risk, Reliability and Quality (Q2)

JCR: 1.648

SJR: 0.492


CITAS

6

DOI

10.1007/s11694-019-00214-4

EID

2-s2.0-85069692767

ISSN

2193-4126

EISSN

2193-4134

BIBTEX

@article{Caballero_2019, doi = {10.1007/s11694-019-00214-4}, url = {https://doi.org/10.1007%2Fs11694-019-00214-4}, year = 2019, month = {jul}, publisher = {Springer Science and Business Media {LLC}}, volume = {13}, number = {4}, pages = {2935--2950}, author = {Daniel Caballero and Mar{\'{\i}}a Asensio and Carlos Fern{\'{a}}ndez and Raquel Reina and Juan Garc{\'{\i}}a-Casco and Noelia Mart{\'{\i}}n and Antonio Silva}, title = {Chemical-instrumental-sensory traits and data mining for classifying dry-cured Iberian shoulders from pigs with different diets}, journal = {Journal of Food Measurement and Characterization} }


AUTORES DE LA UEX