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  • 标题:Application of artificial neural networks in the study of Mozzarella cheese salting
  • 其他标题:Application of artificial neural networks in the study of Mozzarella cheese salting
  • 本地全文:下载
  • 作者:OLIVEIRA, Talita Fogaça de ; CLEMENTE, Marco Aurélio Jeanegitz ; GALVAN, Diego
  • 期刊名称:Food Science and Technology (Campinas)
  • 印刷版ISSN:0101-2061
  • 电子版ISSN:1678-457X
  • 出版年度:2021
  • 卷号:41
  • 页码:375-385
  • DOI:10.1590/fst.18320
  • 出版社:Sociedade Brasileira de Ciência e Tecnologia de Alimentos
  • 摘要:A highly efficient tool that has stood out in data processing and treatment is Artificial Neural Networks (ANNs). Self-organized maps (SOM), which is a type of ANNs, are easy-to-view computational models that simulate information processing and knowledge acquisition. Applying this tool, we analyzed the behavior of the film formed on the mozzarella cheese surface when subjected to salting by immersion. In order to reduce the amount of NaCl in the food, KCl was used as a partial substitute in adequate amounts, without causing sensory changes in the cheese. The diffusion of salts in the brine is caused by the transfer of sodium and potassium ions, induced by concentration gradient of these salts inside and outside the food. The application of artificial neural networks proved to be an effective tool in the evaluation of the influence of the film on the diffusion process of Na and K ions, in the mozzarella cheese salting.
  • 关键词:self-organized maps; salts diffusion; static brine; dynamic brine.
  • 其他关键词:self-organized maps;salts diffusion;static brine;dynamic brine
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