Evidence map›Paper›PMID 40724292›Full record

ReviewFoods (Basel, Switzerland)2025

Recent Advances in the Application Technologies of Surface Coatings for Fruits.

Limin Dai, Dong Luo, Changwei Li, Yuan Chen

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 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. Review
  2. Article
  3. Review
  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

4 authors.

Limin DaiSchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China.
Dong LuoSchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China.ORCID 0009-0009-3279-4144
Changwei LiSchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China.
Yuan ChenSchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China.

Funding

China Postdoctoral Science Foundation 2023M741434Jiangsu University Senior Talent Fund Project 5501200006National Natural Science Foundation of China 32401727 & 32202999Natural Science Foundation of Jiangsu Province BK20230545 & BK20220521
6 · The paper itself

Abstract

Globally, the proportion of the consumption of fruits in the human diet shows an increasing trend. However, fruits may incur significant losses during the post-harvest storage and transportation process due to metabolic activities and mechanical damage. Post-harvest coating technology has been proven to be an effective means of reducing quality loss, and it offers the advantages of being environmentally friendly, energy-efficient, and free of chemical residues. This article begins with an introduction to the three main mechanisms of coating preservation, including physical barrier effects, physiological metabolism regulation, and antibacterial and antioxidant effects. Secondly, this paper comprehensively reviews the latest progress of coating application technology in the field of fruit preservation, and summarizes the development of coating application technology in recent years, which is divided into two categories: traditional technology and fiber coating formation technology. Among these, the spraying method in traditional technology and microfluidic spinning technology in fiber coating formation technology are emphasized. This information will help to further develop coating application techniques to improve post-harvest fruit preservation.

Indexed as

coating application technologyelectrospinningmicrofluidic spinningpost-harvest preservation

Identifiers

PMID40724292
PMCPMC12295767

What OpenQuestion holds

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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.