Dataset Information

Shipping and storage temperature logger datasets for extended shelf life vacuum packaged chilled beef in the Chinese supply chain.

ABSTRACT: This article contains temperature logger datasets obtained for refrigerated cartons of Australian vacuum packaged chilled beef stored under near ideal conditions (?- 1 °C) in Australia (CONTROL) and shipped via land and sea to three destinations in China (China-1, China-2, China-3) described in detail previously [1]. Cartons were stored for 84, 98, 120 and 140 days postslaughter. Temperature data were acquired during shipping and storage using i-buttons (Thermocron-TCS, Baulkham Hills, Australia) and LogTags (TRIX-16, LogTag Australia, Baulkham Hills, Australia).

SUBMITTER: Frank D

PROVIDER: S-EPMC6817643 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Shipping and storage temperature logger datasets for extended shelf life vacuum packaged chilled beef in the Chinese supply chain.

Frank Damian D Zhang Yimin Y Luo Xin X Chen Xue X Mellor Glen G Stark Janet J Hughes Joanne J

Data in brief 20190928

This article contains temperature logger datasets obtained for refrigerated cartons of Australian vacuum packaged chilled beef stored under near ideal conditions (∼- 1 °C) in Australia (CONTROL) and shipped via land and sea to three destinations in China (China-1, China-2, China-3) described in detail previously [1]. Cartons were stored for 84, 98, 120 and 140 days postslaughter. Temperature data were acquired during shipping and storage using i-buttons (Thermocron-TCS, Baulkham Hills, Australia ...[more]

PMID: 31673588

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Project description:Background: Increasing evidence suggests that ultra-processed foods (UPFs) lead to elevated risk of obesity-related conditions, but UPF measurement has been criticized for its subjectivity and lack of clarity on biological mechanism. Sensory-related industrial additives (SRIAs) are a defining feature of UPFs and may encourage overconsumption by enhancing the sensory quality of foods. However, practical challenges have prevented systematic incorporation of SRIAs into UPF measurement. Objective: The objectives of this work were to describe a new, open-source ingredient list search method and to apply this method to describe the presence of SRIAs in US packaged foods. Methods: We developed computer coding to search for 64 common SRIAs related to sweetness, flavor, appearance, and texture in 241,688 foods in the US Branded Food Products Database (BFPD). The BFPD includes manufacturer-provided ingredient lists for ~300,000 branded and private label food items. We determined the total number of SRIAs (0-64) and the number of different types of SRIAs (sweetness, flavor, appearance, texture, 0-4) in each food, then calculated the percent of all foods with SRIAs. This was done for all foods, and by food group for 224,098 items with food group data. Results: Most (64.9%) foods in the BFPD contained at least one SRIA, and more than a third had at least three. Sweets (89.5%), beverages (84.9%), and ready-to-eat (RTE) foods (82.0%) were the most likely to contain SRIAs. With respect to SRIA types, 25.7% of all food items had at least three of the four types of SRIAs examined, with texture-related additives being the most common. Among sweets, 20% had all four types of SRIAs. Discussion: This work confirms the high prevalence of SRIAs in US packaged foods. They are ubiquitous in sweets, beverages, and RTE foods, but also present in substantial proportions of other food groups. Quantifying the presence of SRIAs in ingredient lists offers a novel way to identify UPFs for research; to distinguish more vs. less ultra-processed foods; and to test whether UPFs increase risk for obesity-related conditions through additives that enhance the product's sensory qualities.

Dataset Information

Shipping and storage temperature logger datasets for extended shelf life vacuum packaged chilled beef in the Chinese supply chain.

Publications

Shipping and storage temperature logger datasets for extended shelf life vacuum packaged chilled beef in the Chinese supply chain.

Similar Datasets

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