Targeted and Non-Targeted Techniques Supported by Pca and Artificial Neural Network to Discriminate Cow's and Buffalo's Milk Submitted to Different Thermal Pretreatments-Reference-Cited by-同舟云学术

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Targeted and Non-Targeted Techniques Supported by Pca and Artificial Neural Network to Discriminate Cow's and Buffalo's Milk Submitted to Different Thermal Pretreatments

Published:2023 Issue: Volume: Page:
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Author:

Abdelmontaleb Hani,Abbas Khaled,Hamdy Shaimaa,Mostafa Warda,Loudiyi Mohammed,AIT KADDOUR Abderrahmane

Publisher

Elsevier BV

Reference30 articles.

1. Effects of acidification on physico-chemical characteristics of buffalo milk: A comparison with cow's milk;S Ahmad;Food Chemistry,2008

2. Application of Spectroscopic Techniques to Evaluate Heat Treatments in Milk and Dairy Products: an Overview of the Last Decade;A A�t-Kaddour;Food and Bioprocess Technology,2021

3. Performance of fluorescence spectroscopy for beef meat authentication: Effect of excitation mode and discriminant algorithms;A A�t-Kaddour;Meat Science,2018

4. Cheese-Matrix Characteristics During Heating and Cheese Melting Temperature Prediction by Synchronous Fluorescence and Midinfrared Spectroscopies;T Boubellouta;Food and Bioprocess Technology,2010

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