Evidence map›Paper›PMID 42794048›Full record

ReviewFoods (Basel, Switzerland)2026

Advancing Analytical Technologies for Rapid Food Freshness Detection: A Comprehensive Review.

Lin Cheng, Yangyang Lu, Yi Shao, Wei Song

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Lin ChengModern Industrial College of Traditional Chinese Medicine and Health, Lishui University, 1 Xueyuan Road, Lishui 323000, China.ORCID 0000-0002-4615-1133
Yangyang LuInstitute for Agro-food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, 1000 Jinqi Road, Shanghai 201403, China.
Yi ShaoInstitute for Agro-food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, 1000 Jinqi Road, Shanghai 201403, China.
Wei SongInstitute for Agro-food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, 1000 Jinqi Road, Shanghai 201403, China.

Funding

Shanghai Academy of Agricultural Sciences NKYJ2026 (09)
6 · The paper itself

Abstract

Food freshness is critical to ensuring food safety, minimizing food waste, and improving industrial efficiency. Traditional sensory evaluation and laboratory-based detection methods suffer from inherent limitations, including strong subjectivity, time-consuming procedures, and destructive sampling, which make it difficult to meet the requirements of modern supply chains for rapid, non-destructive, and real-time monitoring. This review comprehensively summarizes the mainstream research directions and recent advances in food freshness monitoring technologies across three complementary directions: (1) biomimetic or instrumental systems based on digital identification of food odors, tastes, and appearance characteristics, including electronic noses, electronic tongues, and machine vision technology; (2) biosensor-based technologies for ultrasensitive recognition of specific biomolecules (metabolites, proteins, and nucleic acids); (3) spectroscopic and imaging techniques for "fingerprint" capture and quantitative analysis of internal components. In addition, the preparation principles, instrumentation, and applications are stated in each section, along with critical performance aspects such as stability and anti-interference capability in complex matrices. We hope this review can provide a comprehensive understanding of sustainable and real-time food quality control for the advancement of food freshness assessment.

Indexed as

biosensorfood freshnessrapid detectionsensory simulationspectral imaging

Identifiers

PMID42794048
PMCPMC13606111

What OpenQuestion holds

Textmetadata
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.