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    Improving traceability and transparency of table grapes cold chain logistics by integrating WSN and correlation analysis

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    Authors
    Xiao, Xinqing
    He, Qile
    Li, Zhigang
    Antoce, Arina Oana
    Zhang, Xiaoshuan
    Affiliation
    China Agricultural University, Beijing, China
    Beijing Laboratory of Food Quality and Safety, Beijing, China
    Coventry University
    Shihezi University, Shihezi, China
    University of Agronomic Sciences and Veterinary Medicine of Bucharest, Bucharest, Romania
    Issue Date
    2017-11-20
    
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    Abstract
    Effective and efficient measurement and determination of critical quality parameter(s) is the key to improve the traceability and transparency of the table grapes quality as well as the sustainability performance of the table grapes cold chain logistics, and ensure the table grapes quality and safety. This paper is to determine the critical quality parameter(s) in the cold chain logistics through the real time monitoring of the temperature fluctuation implemented with the Wireless Sensor Network (WSN), and the correlation analysis among the various quality parameters. The assessment was conducted through three experiments. Experiment I indicated that the temperature have a large fluctuation from 0 °C to 30 °C, and the critical temperatures could be determined as 0 °C, 5 °C, 10 °C, 15 °C, 20 °C, 25 °C and 30 °C. Experiment II described that the firmness and moisture loss rate, whose Pearson correlation coefficient with the sensory evaluation were all greater than 0.9 at the critical temperatures determined in Experiment I, could be the critical quality parameters. Experiment III illustrated that the critical quality parameters, firmness and moisture loss rate, could be reliable indicators of table grapes quality by the Arrhenius kinetic equation, and results showed that the evaluation model based on the firmness is better to predict the shelf life than that based on the moisture loss rate. The best quality table grapes could be provided for the consumers via the easily and directly tracing and controlling the critical quality parameters in real time in actual cold chain logistics.
    Citation
    Xiao, X., He, Q., Li, Z., Antoce, A.O. and Zhang, X., (2017). 'Improving traceability and transparency of table grapes cold chain logistics by integrating WSN and correlation analysis'. Food Control, 73, pp.1556-1563. DOI: 10.1016/j.foodcont.2016.11.019
    Publisher
    Elsevier BV
    Journal
    Food Control
    URI
    http://hdl.handle.net/10545/624477
    DOI
    10.1016/j.foodcont.2016.11.019
    Additional Links
    https://www.sciencedirect.com/science/article/pii/S0956713516306338
    https://pureportal.coventry.ac.uk/en/publications/improving-traceability-and-transparency-of-table-grapes-cold-chai-2
    Type
    Article
    Language
    en
    ISSN
    0956-7135
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.foodcont.2016.11.019
    Scopus Count
    Collections
    Derby Business School

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