Evidence map›Paper›PMID 39451681›Full record

ReviewBiosensors2024

A Review of Advanced Sensor Technologies for Aquatic Products Freshness Assessment in Cold Chain Logistics.

Baichuan Wang, Kang Liu, Guangfen Wei, Aixiang He, Weifu Kong, Xiaoshuan Zhang

Abstract readReview
In one paragraph

Review in Biosensors, 2024. 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. Article
  8. Article
  9. 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

6 authors.

Baichuan WangBeijing Laboratory of Food Quality and Safety, College of Engineering, China Agricultural University, Beijing 100083, China.
Kang LiuBeijing Laboratory of Food Quality and Safety, College of Engineering, China Agricultural University, Beijing 100083, China.
Guangfen WeiSchool of Information and Electronic Engineering, Shandong Technology and Business University, Yantai 264005, China.
Aixiang HeSchool of Information and Electronic Engineering, Shandong Technology and Business University, Yantai 264005, China.ORCID 0000-0002-6673-5830
Weifu KongYantai Institute, China Agricultural University, Yantai 264670, China.
Xiaoshuan ZhangBeijing Laboratory of Food Quality and Safety, College of Engineering, China Agricultural University, Beijing 100083, China.ORCID 0000-0002-0395-928X

Funding

Research on multi-scale flexible sensing and reliable traceability technology in cold chain process of prefabricated vegetables GHYF2024022
6 · The paper itself

Abstract

The evaluation of the upkeep and freshness of aquatic products within the cold chain is crucial due to their perishable nature, which can significantly impact both quality and safety. Conventional methods for assessing freshness in the cold chain have inherent limitations regarding specificity and accuracy, often requiring substantial time and effort. Recently, advanced sensor technologies have been developed for freshness assessment, enabling real-time and non-invasive monitoring via the detection of volatile organic compounds, biochemical markers, and physical properties. The integration of sensor technologies into cold chain logistics enhances the ability to maintain the quality and safety of aquatic products. This review examines the advancements made in multifunctional sensor devices for the freshness assessment of aquatic products in cold chain logistics, as well as the application of pattern recognition algorithms for identification and classification. It begins by outlining the categories of freshness criteria, followed by an exploration of the development of four key sensor devices: electronic noses, electronic tongues, biosensors, and flexible sensors. Furthermore, the review discusses the implementation of advanced pattern recognition algorithms in sensor devices for freshness detection and evaluation. It highlights the current status and future potential of sensor technologies for aquatic products within the cold chain, while also addressing the significant challenges that remain to be overcome.

Indexed as

Biosensing TechniquesAlgorithmsVolatile Organic CompoundsVolatile Organic Compoundsaquatic productsbiosensorscold chain logisticselectronic noseselectronic tonguesflexible sensorsfreshness assessmentfreshness criteriapattern recognition algorithms

Identifiers

PMID39451681
PMCPMC11506179

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.