Composition-based statistical model for predicting CO2 solubility in modified atmosphere packaging application-Reference-Cited by-同舟云学术

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Composition-based statistical model for predicting CO2 solubility in modified atmosphere packaging application

Published:2023-03 Issue: Volume:340 Page:111283
ISSN:0260-8774
Container-title:Journal of Food Engineering
language:en
Short-container-title:Journal of Food Engineering

Author:

Münch Mélanie^ORCID,Guillard Valérie^ORCID,Gaucel Sébastien,Destercke Sébastien^ORCID,Thévenot Jonathan^ORCID,Buche Patrice

Publisher

Elsevier BV

Subject

Food Science

Reference32 articles.

1. The influence of lipid composition, storage temperature, and modified atmospheric gas combinations on the solubility of CO 2 in a seafood model product;Abel;J. Food Eng.,2018

2. Impact of selected composition and ripening conditions on CO2 solubility in semi-hard cheese;Acerbi;Food Chem.,2016

3. No unbiased estimator of the variance of K-fold cross-validation;Bengio;J. Mach. Learn. Res.,2004

4. Machine learning with physicochemical relationships: solubility prediction in organic solvents and water;Boobier;Nat. Commun.,2020

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1. The multi-objective data-driven approach: A route to drive performance optimization in the food industry;Trends in Food Science & Technology;2024-10

2. Footprint analysis of CO2 in microbial community succession of raw milk and assessment of its quality;Frontiers in Nutrition;2023-12-19

3. Fungi under Modified Atmosphere—The Effects of CO2 Stress on Cell Membranes and Description of New Yeast Stenotrophomyces fumitolerans gen. nov., sp. nov.;Journal of Fungi;2023-10-19

4. Minimal Processing Technologies for Production and Preservation of Tailor-Made Foods;Food Technology and Biotechnology;2023-10

5. Effects of carbon dioxide and oxygen on the growth rate of various food spoilage bacteria;Food Microbiology;2023-09

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