The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Future challenges on the use of blockchain for food traceability analysis
Abstract
Abstract The steady increase in food falsification, which has caused large economic losses and eroded consumers’ trust, has become a pressing issue for producers, researchers, governments, consumers and other stakeholders. Tracking and authenticating the food supply chain to understand provenance is critical with a view to identifying and addressing sources of contamination in the food supply chain worldwide. One way of solving traceability issues and ensuring transparency is by using blockchain technology to store data from chemical analysis in chronological order so that they are impossible to manipulate afterwards. This review examines the potential of blockchain technology for assuring traceability and authenticity in the food supply chain. It can be considered a true innovation and relevant approach to assure the quality of the third step of the analytical processes: data acquisition and management.
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
Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008) · Decision Support Systems · doi:10.1016/j.dss.2007.07.001 · Cited by 3,613
Decentralized Blockchain Technology and the Rise of Lex Cryptographia
Wright, A., & De Filippi, P. (2015) · SSRN Electronic Journal · doi:10.2139/ssrn.2580664 · Cited by 928
Gualandris, J., Klassen, R. D., Vachon, S., & Kalchschmidt, M. (2015) · Journal of Operations Management · doi:10.1016/j.jom.2015.06.002 · Cited by 365
Cited by
Dutta, P., Choi, T.-M., Somani, S., & Butala, R. (2020) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2020.102067 · Cited by 1,545
Blockchain technology for bridging trust, traceability and transparency in circular supply chain
Centobelli, P., Cerchione, R., Vecchio, P. D., Oropallo, E., & Secundo, G. (2022) · Information & Management · doi:10.1016/j.im.2021.103508 · Cited by 820
Feng, H., Wang, X., Duan, Y., Zhang, J., & Zhang, X. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.121031 · Cited by 788
Precision farming at the nexus of agricultural production and the environment
Finger, R., Swinton, S. M., El Benni, N., & Walter, A. (2019) · Annual Review of Resource Economics · doi:10.1146/annurev-resource-100518-093929 · Cited by 539
Blockchain in Agriculture Traceability Systems: A Review
Demestichas, K., Peppes, N., Alexakis, T., & Adamopoulou, E. (2020) · Applied Sciences · doi:10.3390/app10124113 · Cited by 412
Metadata
- Authors
- Galvez, J. F., Mejuto, J. C., & Simal-Gandara, J.
- Venue
- TrAC Trends in Analytical Chemistry
- Publisher
- Elsevier BV
- Published
- 2018-10
- Volume
- 107
- Pages
- 222-232
- ISSN
- 0165-9936 (ISSN-L)
- OpenAlex
- W2889403099
- Cited by
- 921
- References
- 3
- FWCI
- 67.91
- Type
- journal article
- Language
- en
- Open access
- closed
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: Future challenges on the use of blockchain for food traceability analysis. https://app.cochat.ai/papers/10.1016/j.trac.2018.08.011
- The paper
- Galvez, J. F., Mejuto, J. C., & Simal-Gandara, J. (2018). Future challenges on the use of blockchain for food traceability analysis. TrAC Trends in Analytical Chemistry. https://doi.org/10.1016/j.trac.2018.08.011
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.
