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dc.contributor.authorDanezis, Georgios P
dc.contributor.authorTsagkaris, Aristidis S
dc.contributor.authorBrusic, Vladimir
dc.contributor.authorGeorgiou, Constantinos A
dc.date.accessioned2019-03-29T06:29:44Z
dc.date.available2019-03-29T06:29:44Z
dc.date.issued2016
dc.identifier.issn2214-8000en_US
dc.identifier.doi10.1016/j.cofs.2016.07.003en_US
dc.identifier.urihttp://hdl.handle.net/10072/142848
dc.description.abstractFood authentication is analytical process that validates label information about the food origin and production process. This review discusses emerging food authenticity indicators including rare earth elements, metabolic profiles, sensory profile evaluation, and microbial fingerprinting. A scientometric evaluation that highlights research trends and emerging approaches of this evolving field is presented. We analyzed and provided an insight into most commonly studied food types and drinks and highlighted the most promising authenticity markers for each major group. Finally, we discussed the data explosion that is emerging and discussed the developing trends in the field. The future of food authentication lies in Big Data since we are already collecting and analyzing huge amounts of data that converge from multiple sources. Big Data Analytics will include standardization of experiments, study design workflows, and of data reporting. Emerging data analytical tools will include integration of geographic information systems with climate information systems and metabolomics databases for precise spatio-temporal identification of food origin.en_US
dc.description.peerreviewedYesen_US
dc.languageEnglishen_US
dc.publisherElsevier Ltd. * Current Opinion Journalsen_US
dc.relation.ispartofpagefrom22en_US
dc.relation.ispartofpageto31en_US
dc.relation.ispartofjournalCurrent Opinion in Food Scienceen_US
dc.relation.ispartofvolume10en_US
dc.subject.fieldofresearchFood Sciences not elsewhere classifieden_US
dc.subject.fieldofresearchcode090899en_US
dc.subject.keywordsMachine learningen_US
dc.subject.keywordsMetabolomicsen_US
dc.subject.keywordsMass spectrometryen_US
dc.subject.keywordsHyphenated chromatographic techniquesen_US
dc.subject.keywordsFood authenticationen_US
dc.subject.keywordsInformation systemsen_US
dc.subject.keywordsScientometric analysisen_US
dc.titleFood authentication: state of the art and prospectsen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.hasfulltextNo Full Text
gro.griffith.authorBrusic, Vladimir


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