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TrAC Trends in Analytical Chemistry
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TrAC Trends in Analytical Chemistry
Article . 2016 . Peer-reviewed
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Food authentication: Techniques, trends & emerging approaches

Authors: Danezis, G. P.; Tsagkaris, A. S.; Camin, Federica; Brusic, V.; Georgiou, C. A.;

Food authentication: Techniques, trends & emerging approaches

Abstract

Abstract Food authentication is a rapidly growing field due to increasing public awareness concerning food quality and safety. This review presents critically the analytical techniques which are used for authenticity assessment, explaining how and why they give plausible solutions. Classification of different methodologies is based on authenticity indicators providing insight into future developments. Analytical breakthroughs and novel techniques that emerged recently are discussed, along with their applications on food authentication. We have discussed current limits and gaps, related to informatics needs for data analysis of large quantities. Reporting standards and reference database are elaborated indicating urgent needs for the progress of this field. A scientometric evaluation highlighted the research trends and emerging approaches of this evolving field. Popular analytical techniques are commented, while the potential of the field is depicted in the temporal evolution of the research output focusing on geographical distribution of research activity and preferred journals used for dissemination.

Country
Italy
Keywords

Species, Fraud, Analytical techniques, 551, Botanical origin, Authenticity, Scientometric evaluation, Adulteration, Food authentication; Analytical techniques; Geographical origin; Species; Botanical origin; Scientometric evaluation; Authenticity; Adulteration; Fraud, Geographical origin, Settore CHIM/10 - CHIMICA DEGLI ALIMENTI, Food authentication

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    478
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 0.1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 0.1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
478
Top 0.1%
Top 1%
Top 0.1%
hybrid