Cold chain database development and application as a tool for the cold chain management and food quality evaluation

被引：66

作者：

Gogou, E. ^{[1
]}

Katsaros, G. ^{[1
]}

Derens, E. ^{[2
]}

Alvarez, G. ^{[2
]}

Taoukis, P. S. ^{[1
]}

机构：

[1] Natl Tech Univ Athens, Sch Chem Engn, Lab Food Chem & Technol, Athens 15780, Greece

[2] IRSTEA, Refrigerat Proc Engn, Antony, France

来源：

INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID | 2015年 / 52卷

关键词：

Cold Chain Database; FRISBEE; Food quality; Cold chain management; LIFE DECISION SYSTEM; TEMPERATURE PERFORMANCE; CHILLED FOODS; REFRIGERATORS; OPTIMIZATION; VEGETABLES;

D O I：

10.1016/j.ijrefrig.2015.01.019

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

Cold chain management can optimize freshness and safety to the consumer end. Within FRISBEE European project (http://frisbee-project.eu) a web-based platform was developed for temperature conditions data collection throughout the chilled and frozen food supply chain. Data including all cold chain stages (industry, distributors, retailers and consumers), were collected. This extensive database comprising more than 14,000 time-Temperature (t-T) profiles can serve as a valuable Cold Chain Management tool. The user can define a sequence of cold chain stages for selected food products. The Cold Chain Predictor (CCP) software based on the Cold Chain Database (CCD) allows calculation of product shelf-life status at different cold chain stages based on existing or user defined kinetic data. Conducted field tests expanded the Cold Chain Database and validated the software. The developed tools offer the potential to run simulation scenarios based on real cold chain data and contribute to effective cold chain improvement and management. (C) 2015 Elsevier Ltd and IIR. All rights reserved.

引用

页码：109 / 121

页数：13

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