Evidence map›Paper›PMID 39148528›Full record

ReviewFood chemistry: X2024

Green synthesized silver nanoparticles, a sustainable approach for fruit and vegetable preservation: An overview.

My Dong Lieu, Thi Kim Thuy Dang, Thuy Huong Nguyen

Abstract readReview
In one paragraph

Review in Food chemistry: X, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Foods (Basel, Switzerland) · 2025
    Article
  8. 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

3 authors.

My Dong LieuFaculty of Food Science and Technology, Ho Chi Minh City University of Industry and Trade, 140 Le Trong Tan Street, Tay Thanh Ward, Tan Phu District, Ho Chi Minh City, Viet Nam.
Thi Kim Thuy DangDepartment of Plant Cell Technology, Institute of Tropical Biology, Vietnam Academy of Science and Technology, 9/621 Xa lo Ha Noi Street, Linh Trung Ward, Thu Duc City, Ho Chi Minh City, Viet Nam.
Thuy Huong NguyenDepartment of Biotechnology, Faculty of Chemical Engineering, Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet Street, District 10, Ho Chi Minh City, Viet Nam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanotechnology in which silver nanoparticles (AgNPs) have received more interest in fruits and vegetables (FaV) preservation due to their anti-microorganism properties. There are various approaches to synthesizing AgNPs, in which biological reduction, especially plant extraction containing bioactive compounds, is considered non-toxic, eco-friendly, and economically viable. AgNPs can be applied for FaV preservation by immersing or incorporating AgNPs into the edible coating or wrapper film. Depending on the type of coating and the kind of FaV, choosing the coating components is necessary to ensure the anti-microorganism ability and improve preservation efficiency. This review highlights green-synthesized AgNPs for preserving FaV. The study covered the materials employed in the green synthesis of AgNPs, their effectiveness against microorganisms, the influence of AgNPs on film structure, safety properties, and various preservation strategies. Using plant or bacterial-synthesized AgNPs in edible coatings offers a sustainable approach to enhance safety, edibility, environmental friendliness, and FaV quality during storage.

Indexed as

AntifungalAntimicrobialEdible coatingFilmPost-harvest lossSilver nanoparticles

Identifiers

PMID39148528
PMCPMC11324848

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.