Evidence map›Paper›PMID 37569245›Full record

ReviewFoods (Basel, Switzerland)2023

Recent Advance of Intelligent Packaging Aided by Artificial Intelligence for Monitoring Food Freshness.

Xiaoxuan Li, Danfei Liu, Yumei Pu, Yunfei Zhong

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
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

4 authors.

Xiaoxuan LiSchool of Packaging and Materials Engineering, Hunan University of Technology, Zhuzhou 412007, China.
Danfei LiuSchool of Packaging and Materials Engineering, Hunan University of Technology, Zhuzhou 412007, China.
Yumei PuSchool of Packaging and Materials Engineering, Hunan University of Technology, Zhuzhou 412007, China.
Yunfei ZhongSchool of Packaging and Materials Engineering, Hunan University of Technology, Zhuzhou 412007, China.

Funding

Hunan Province Higher Education Institutions Demonstration Base of Production, Education and Research 2014-117Natural Science Foundation of Hunan Province 2021JJ30218Postgraduate Scientific Research Innovation Project of Hunan Province CX20231098Training Project of Hunan Industrial Application of Higher Education Institution 15CY003
6 · The paper itself

Abstract

Food safety is a pressing concern for human society, as it directly impacts people's lives, while food freshness serves as one of the most crucial indicators in ensuring food safety. There exist diverse techniques for monitoring food freshness, among which intelligent packaging based on artificial intelligence technology boasts the advantages of low cost, high efficiency, fast speed and wide applicability; however, it is currently underutilized. By analyzing the current research status of intelligent packaging both domestically and internationally, this paper provides a clear classification of intelligent packaging technology. Additionally, it outlines the advantages and disadvantages of using intelligent packaging technology for food freshness detection methods, while summarizing the latest research progress in applying artificial intelligence-based technologies to food freshness detection through intelligent packaging. Finally, the author points out the limitations of the current research, and anticipates future developments in artificial intelligence technology for assisting freshness detection in intelligent packaging. This will provide valuable insights for the future development of intelligent packaging in the field of food freshness detection.

Indexed as

artificial intelligencedeep learning algorithmsfood freshness detectionfood industryintelligent packaging technology

Identifiers

PMID37569245
PMCPMC10418964

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.