
handle: 11572/265953 , 10449/30438
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.
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
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
| 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% |
