Artificial neural network for prediction of dielectric properties relevant to microwave processing of fruit juice-Reference-Cited by-同舟云学术

Artificial neural network for prediction of dielectric properties relevant to microwave processing of fruit juice

Published:2018-09-11 Issue:6 Volume:41 Page:e12815
ISSN:0145-8876
Container-title:Journal of Food Process Engineering
language:en
Short-container-title:J Food Process Eng

Author:

Kubo M. T. K.¹²^ORCID,Curet S.¹^ORCID,Augusto P. E. D.²^ORCID,Boillereaux L.¹^ORCID

Affiliation:

1. GEPEA (UMR 6144 CNRS), ONIRIS, Site de la Géraudière, CS 82225; Nantes Cedex 3 44322 France

2. Department of Agri-food Industry, Food and Nutrition (LAN), Luiz de Queiroz College of Agriculture (ESALQ); University of São Paulo (USP); Piracicaba SP Brazil

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Wiley

Subject

General Chemical Engineering,Food Science

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/jfpe.12815/fullpdf

Reference44 articles.

1. Thermal conductivity of food products using: A correlation analysis based on Artificial Neural Networks (ANNs);Abiodun Afis;Advances in Bioscience and Bioengineering,2014

2. Mathematical models for vacuum-microwave concentration behavior of pineapple juice;Assawarachan;Journal of Food Process Engineering,2011

3. Thermal inactivation of Lactobacillus plantarum in a model liquid food;Augusto;Journal of Food Process Engineering,2011

4. Comparison of microwaves and conventional thermal treatment on enzymes activity and antioxidant capacity of kiwifruit puree;Benlloch-Tinoco;Innovative Food Science & Emerging Technologies,2013

5. Concentration of apple juice using a vacuum microwave evaporator as a novel technique: Determination of quality characteristics;Bozkir;Journal of Food Process Engineering,2017

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting dielectric properties of fruit juices at 915 and 2450 MHz using machine learning and physicochemical measurements;Measurement: Food;2024-06

2. Microwave Sterilization: Interlinking Numerical Modelling, Food Packaging, and Engineering Solutions;Food Engineering Reviews;2024-03-20

3. Dielectric & Thermal Properties Including Measurements;Food Engineering Series;2024

4. A Review and Perspective of Environmental Disinfection Technology Based on Microwave Irradiation;Current Pollution Reports;2023-01-30

5. Dielectric Heating: A Review of Liquid Foods Processing Applications;Food Reviews International;2022-07-01