The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Food authentication: Techniques, trends & emerging approaches
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Traceability in a Food Supply Chain: Safety and Quality Perspectives
Aung, M. M., & Chang, Y. S. (2014) · Food Control · doi:10.1016/j.foodcont.2013.11.007 · Cited by 1,340
Tracing the geographical origin of food: The application of multi-element and multi-isotope analysis
Kelly, S. D., Heaton, K., & Hoogewerff, J. A. (2005) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2005.08.008 · Cited by 808
Moore, J. C., Spink, J., & Lipp, M. (2012) · Journal of Food Science · doi:10.1111/j.1750-3841.2012.02657.x · Cited by 805
Data fusion methodologies for food and beverage authentication and quality assessment – A review
Borràs, E., Ferré, J., Boqué, R., Mestres, M., Aceña, L., & Busto, O. (2015) · Analytica Chimica Acta · doi:10.1016/j.aca.2015.04.042 · Cited by 743
An overview of analytical methods for determining the geographical origin of food products
Luykx, D. M. A. M., & van Ruth, S. M. (2008) · Food Chemistry · doi:10.1016/j.foodchem.2007.09.038 · Cited by 550
Determination of food authenticity by enzyme-linked immunosorbent assay (ELISA)
Asensio, L., González, I., García, T., & Martín, R. (2008) · Food Control · doi:10.1016/j.foodcont.2007.02.010 · Cited by 414
Review on metabolomics for food authentication
Cubero-Leon, E., Peñalver, R., & Maquet, A. (2014) · Food Research International · doi:10.1016/j.foodres.2013.11.041 · Cited by 334
Applications of liquid chromatography–mass spectrometry for food analysis
Di Stefano, V., Avellone, G., Bongiorno, D., Cunsolo, V., Muccilli, V., Sforza, S., Dossena, A., Drahos, L., & Vékey, K. (2012) · Journal of Chromatography A · doi:10.1016/j.chroma.2012.04.023 · Cited by 220
Recent methodological advances in MALDI mass spectrometry
Dreisewerd, K. (2014) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-014-7646-6 · Cited by 141
Multiplex PCR in Species Authentication: Probability and Prospects—A Review
Ali, M. E., Razzak, M. A., & Hamid, S. B. A. (2014) · Food Analytical Methods · doi:10.1007/s12161-014-9844-4 · Cited by 139
Cited by
Big Data Impacting Dynamic Food Safety Risk Management in the Food Chain
Donaghy, J. A., Danyluk, M. D., Ross, T., Krishna, B., & Farber, J. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.668196 · Cited by 67
Kolašinac, S., Pećinar, I., Danojević, D., & Stevanović, Z. D. (2022) · LWT · doi:10.1016/j.lwt.2022.113402 · Cited by 22
Metadata
- Authors
- Danezis, G. P., Tsagkaris, A. S., Camin, F., Brusic, V., & Georgiou, C. A.
- Venue
- TrAC Trends in Analytical Chemistry
- Publisher
- Elsevier BV
- Published
- 2016-12
- Volume
- 85
- Pages
- 123-132
- ISSN
- 0165-9936 (ISSN-L)
- OpenAlex
- W2294829414
- Cited by
- 559
- References
- 26
- FWCI
- 21.37
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Food authentication: Techniques, trends & emerging approaches. https://app.cochat.ai/papers/10.1016/j.trac.2016.02.026
- The paper
- Danezis, G. P., Tsagkaris, A. S., Camin, F., Brusic, V., & Georgiou, C. A. (2016). Food authentication: Techniques, trends & emerging approaches. TrAC Trends in Analytical Chemistry. https://doi.org/10.1016/j.trac.2016.02.026
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.