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dc.contributor.authorXiao, Xinqing
dc.contributor.authorHe, Qile
dc.contributor.authorLi, Zhigang
dc.contributor.authorAntoce, Arina Oana
dc.contributor.authorZhang, Xiaoshuan
dc.date.accessioned2020-02-13T10:44:46Z
dc.date.available2020-02-13T10:44:46Z
dc.date.issued2017-11-20
dc.identifier.citationXiao, 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.2016.11.019en_US
dc.identifier.issn0956-7135
dc.identifier.doi10.1016/j.foodcont.2016.11.019
dc.identifier.urihttp://hdl.handle.net/10545/624477
dc.description.abstractEffective 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.en_US
dc.description.sponsorshipNational Natural Science Foundation of Chinaen_US
dc.language.isoenen_US
dc.publisherElsevier BVen_US
dc.relation.urlhttps://www.sciencedirect.com/science/article/pii/S0956713516306338en_US
dc.relation.urlhttps://pureportal.coventry.ac.uk/en/publications/improving-traceability-and-transparency-of-table-grapes-cold-chai-2en_US
dc.rights© 2016 Elsevier Ltd. All rights reserved.
dc.rights.urihttps://www.elsevier.com/tdm/userlicense/1.0/
dc.subjectQuality parametersen_US
dc.subjectTable grapesen_US
dc.subjectWireless sensor networken_US
dc.subjectCorrelation analysisen_US
dc.subjectCold chain logisticsen_US
dc.titleImproving traceability and transparency of table grapes cold chain logistics by integrating WSN and correlation analysisen_US
dc.typeArticleen_US
dc.contributor.departmentChina Agricultural University, Beijing, Chinaen_US
dc.contributor.departmentBeijing Laboratory of Food Quality and Safety, Beijing, Chinaen_US
dc.contributor.departmentCoventry Universityen_US
dc.contributor.departmentShihezi University, Shihezi, Chinaen_US
dc.contributor.departmentUniversity of Agronomic Sciences and Veterinary Medicine of Bucharest, Bucharest, Romaniaen_US
dc.identifier.journalFood Controlen_US
dc.identifier.piiS0956713516306338
dc.source.journaltitleFood Control
dc.source.volume73
dc.source.beginpage1556
dc.source.endpage1563
dcterms.dateAccepted2016-11-14
dc.author.detail300211en_US


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