Evidence map›Paper›PMID 40809715›Full record

ReviewFood chemistry: X2025

A comprehensive review of post-harvest agricultural product deterioration signature volatile organic compounds.

Lu Sun, Junning Ma, Giorgia Purcaro, Gang Wang, Jing Jin, Fuguo Xing

Abstract readReview
In one paragraph

Review in Food chemistry: X, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

6 authors.

Lu SunInstitute of Food Science and Technology, Chinese Academy of Agricultural Sciences /Key Laboratory of Agro-Products Quality and Safety Control in Storage and Transport Process, Ministry of Agriculture and Rural Affairs, Beijing, 100193, PR China.
Junning MaInstitute of Food Science and Technology, Chinese Academy of Agricultural Sciences /Key Laboratory of Agro-Products Quality and Safety Control in Storage and Transport Process, Ministry of Agriculture and Rural Affairs, Beijing, 100193, PR China.
Giorgia PurcaroGembloux Agro-Bio Tech, University of Liège, Passage des Déportés 2, 5030 Gembloux, Belgium.
Gang WangInstitute of Food Science and Technology, Chinese Academy of Agricultural Sciences /Key Laboratory of Agro-Products Quality and Safety Control in Storage and Transport Process, Ministry of Agriculture and Rural Affairs, Beijing, 100193, PR China.
Jing JinInstitute of Food Science and Technology, Chinese Academy of Agricultural Sciences /Key Laboratory of Agro-Products Quality and Safety Control in Storage and Transport Process, Ministry of Agriculture and Rural Affairs, Beijing, 100193, PR China.
Fuguo XingInstitute of Food Science and Technology, Chinese Academy of Agricultural Sciences /Key Laboratory of Agro-Products Quality and Safety Control in Storage and Transport Process, Ministry of Agriculture and Rural Affairs, Beijing, 100193, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post-harvest management of agricultural products is crucial for minimizing spoilage and economic losses. Volatile organic compounds (VOCs) have emerged as effective indicators of early-stage deterioration, offering a promising approach to improving detection methods. This review examines the role of VOCs in spoilage identification, emphasizing key markers such as terpenes, ketones, esters, and aldehydes in fruits, vegetables, grains, and legumes. Various detection techniques-including spectrometry, electronic noses, spectroscopy, and sensor arrays-are evaluated and compared for their potential to assess spoilage and freshness by correlating their limits of detection (LOD) with typical VOC concentrations in agricultural scenarios. Future development trend in VOC research focus on enhancing sensor sensitivity, developing portable detection devices, integrating VOC monitoring with smart systems, and leveraging artificial intelligence for predictive analysis. These advancements aim to optimize post-harvest management strategies and improve food safety through more accurate and timely spoilage detection.

Indexed as

Agricultural productsDeteriorationMonitoring systemsPost-harvestSpoilage detectionVolatile organic compounds

Identifiers

PMID40809715
PMCPMC12345322

What OpenQuestion holds

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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.