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                                       Details for article 4 of 127 found articles
 
 
  Applying microbial predictive and machine learning model data to evaluate thermal inactivation of salmonella and the surrogate enterococcus faecium in reconstructed ground chicken meat affected by temperature and salt concentrations
 
 
Title: Applying microbial predictive and machine learning model data to evaluate thermal inactivation of salmonella and the surrogate enterococcus faecium in reconstructed ground chicken meat affected by temperature and salt concentrations
Author: Coe, Corey
Wang, Xinhao
Rowen, Elizabeth
Stearns, Rebecca
Katz, Joe
Boltz, Timothy
Rion, Md Shafiul Islam
Long, Carly
Freshour, Gary
Jaczynski, Jacek
Matak, Kristen
Freshour, Annette
Luo, Yangchao
Shen, Cangliang
Appeared in: Poultry science
Paging: Volume 104 () nr. 9 pages p.
Year: 2025
Contents:
Publisher: Published by Elsevier B.V.
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

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