2015
DOI: 10.1016/j.ijrefrig.2015.01.019
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Cold chain database development and application as a tool for the cold chain management and food quality evaluation

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Cited by 94 publications
(50 citation statements)
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“…Frozen storage duration was selected to simulate the time that frozen fruits/vegetables are expected to enter the stage of retail display. According to data records retrieved from the Cold Chain Database (Gogou, Katsaros, Derens, Alvarez, & Taoukis, 2015) the time that frozen fruits/vegetables enter the stage of retail display in Europe can vary between 1 and 4 months, depending on the logistics/supply chain model adopted by the collaborating fruits/vegetables producer and retailers. During storage, temperature was constantly monitored and confirmed with electronic, programmable miniature dataloggers (COX TRACER®, Belmont, NC).…”
Section: Frozen Storagementioning
confidence: 99%
“…Frozen storage duration was selected to simulate the time that frozen fruits/vegetables are expected to enter the stage of retail display. According to data records retrieved from the Cold Chain Database (Gogou, Katsaros, Derens, Alvarez, & Taoukis, 2015) the time that frozen fruits/vegetables enter the stage of retail display in Europe can vary between 1 and 4 months, depending on the logistics/supply chain model adopted by the collaborating fruits/vegetables producer and retailers. During storage, temperature was constantly monitored and confirmed with electronic, programmable miniature dataloggers (COX TRACER®, Belmont, NC).…”
Section: Frozen Storagementioning
confidence: 99%
“…However, some authors suggested that the weakest link of the cold chain is the domestic storage, while home refrigerators and freezers frequently present poor temperature control (James et al, 2008;Laguerre et al, 2002). A study performed by Gogou et al (2015) for selected food products in Greece and France supports this argument, revealing that during the domestic storage temperatures may vary from ~ 4 °C to ~ 11 °C. In some cases the registered mean temperature was in a range of 8 °C to 10 °C.…”
Section: Introductionmentioning
confidence: 99%
“…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 [29].…”
Section: Cold Chain Database (Ccd)mentioning
confidence: 99%
“…Компьютерная программа по прогнозированию в холодильной цепи (CCP) на ос-нове базы данных холодильной цепи (CCD) позволя-ет рассчитывать статус срока хранения на различных этапах холодильной цепи на основе существующих или определенных пользователем программы кине-тических данных. Разработанные средства обладают потенциалом проверки модельных сценариев на ос-нове реальных данных холодильной цепи и дают воз-можность совершенствовать систему и управление холодильной цепью [29]. …”
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