Evidence map›Paper›PMID 35954029›Full record

ReviewFoods (Basel, Switzerland)2022

Integration of Privacy Protection and Blockchain-Based Food Safety Traceability: Potential and Challenges.

Moyixi Lei, Longqin Xu, Tonglai Liu, Shuangyin Liu, Chuanheng Sun

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. The Future of Food.Foods (Basel, Switzerland) · 2024
    Review
  5. Article
  6. Review
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Moyixi LeiCollege of Information Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China.
Longqin XuCollege of Information Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China.
Tonglai LiuCollege of Information Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China.
Shuangyin LiuCollege of Information Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China.
Chuanheng SunNational Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China.

Funding

liushuangyin 61871475sunchuanheng 31871525
6 · The paper itself

Abstract

Concern about food safety has become a hot topic, and numerous researchers have come up with various effective solutions. To ensure the safety of food and avoid financial loss, it is important to improve the safety of food information in addition to the quality of food. Additionally, protecting the privacy and security of food can increase food harvests from a technological perspective, reduce industrial pollution, mitigate environmental impacts, and obtain healthier and safer food. Therefore, food traceability is one of the most effective methods available. Collecting and analyzing key information on food traceability, as well as related technology needs, can improve the efficiency of the traceability chain and provide important insights for managers. Technology solutions, such as the Internet of Things (IoT), Artificial Intelligence (AI), Privacy Preservation (PP), and Blockchain (BC), are proposed for food monitoring, traceability, and analysis of collected data, as well as intelligent decision-making, to support the selection of the best solution. However, research on the integration of these technologies is still lacking, especially in the integration of PP with food traceability. To this end, the study provides a systematic review of the use of PP technology in food traceability and identifies the security needs at each stage of food traceability in terms of data flow and technology. Then, the work related to food safety traceability is fully discussed, particularly with regard to the benefits of PP integration. Finally, current developments in the limitations of food traceability are discussed, and some possible suggestions for the adoption of integrated technologies are made.

Indexed as

artificial intelligenceblockchain traceabilityfood safetyInternet of Thingsprivacy protection

Identifiers

PMID35954029
PMCPMC9367899

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.