Sous-vide processing of silver carp: Effect of processing temperature and cold storage duration on the microbial quality of the product as well as modeling by artificial neural networks

Seyed Vali Hosseini, Milad Pero, Zahra Hoseinabadi, Reza Tahergorabi, Shirin Kazemzadeh, Ricardo Santos Alemán, Jhunior Abrahan Marcia Fuentes, Ismael Montero Fernández, David P. Calderon, Xesus Feas Sanchez

Open source

DOI
10.1371/journal.pone.0246708
Published
2023-03-29
Container
PLOS ONE
Publisher
Public Library of Science (PLoS)
Open access
unknown

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BibTeX

@article{allodium:10.1371/journal.pone.0246708,
  title = {Sous-vide processing of silver carp: Effect of processing temperature and cold storage duration on the microbial quality of the product as well as modeling by artificial neural networks},
  author = {Seyed Vali Hosseini and Milad Pero and Zahra Hoseinabadi and Reza Tahergorabi and Shirin Kazemzadeh and Ricardo Santos Alemán and Jhunior Abrahan Marcia Fuentes and Ismael Montero Fernández and David P. Calderon and Xesus Feas Sanchez},
  year = {2023},
  journal = {PLOS ONE},
  doi = {10.1371/journal.pone.0246708},
  url = {https://doi.org/10.1371/journal.pone.0246708}
}

RIS

TY  - JOUR
TI  - Sous-vide processing of silver carp: Effect of processing temperature and cold storage duration on the microbial quality of the product as well as modeling by artificial neural networks
AU  - Seyed Vali Hosseini
AU  - Milad Pero
AU  - Zahra Hoseinabadi
AU  - Reza Tahergorabi
AU  - Shirin Kazemzadeh
AU  - Ricardo Santos Alemán
AU  - Jhunior Abrahan Marcia Fuentes
AU  - Ismael Montero Fernández
AU  - David P. Calderon
AU  - Xesus Feas Sanchez
PY  - 2023
JO  - PLOS ONE
DO  - 10.1371/journal.pone.0246708
UR  - https://doi.org/10.1371/journal.pone.0246708
ER  - 

APA

Hosseini, S. V., Pero, M., Hoseinabadi, Z., Tahergorabi, R., Kazemzadeh, S., Alemán, R. S., Fuentes, J. A. M., Fernández, I. M., Calderon, D. P., & Sanchez, X. F. (2023). Sous-vide processing of silver carp: Effect of processing temperature and cold storage duration on the microbial quality of the product as well as modeling by artificial neural networks. PLOS ONE. https://doi.org/10.1371/journal.pone.0246708

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