Evidence map›Paper›PMID 38592840›Full record

ArticlePlants (Basel, Switzerland)2024

Synergistic Influence of Melatonin-Hydrocolloid Coating on Decay and Senescence of Nectarine (

Smruthi Jayarajan, Shruti Sethi, Om Prakash Awasthi, Abhishek Sharma, Danka Bukvički

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2024. 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
1.2field-weighted citation impact, top 18% of its field
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, 2 citations in OpenAlex.

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

5 authors at 3 institutions in 2 countries.

Smruthi JayarajanDivision of Food Science and Postharvest Technology, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India.
Shruti SethiDivision of Food Science and Postharvest Technology, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India.
Om Prakash AwasthiDivision of Fruits and Horticultural Technology, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India.
Abhishek SharmaAmity Food and Agriculture Foundation, Amity University, Noida 201303, India.ORCID 0000-0003-0136-436X
Danka BukvičkiFaculty of Biology, Institute of Botany and Botanical Garden 'Jevremovac', University of Belgrade, Takovska 43, 11000 Belgrade, Serbia.ORCID 0000-0001-6807-0038
Amity University · INIndian Agricultural Research Institute · INUniversity of Belgrade · RS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nectarines have remarkable nutritional value, low caloric content, and are rich in antioxidants. However, despite substantial local and global demand, their susceptibility to rapid spoilage during peak summer harvest is limited. To address this issue, the current study investigated the potential benefits of using melatonin (MLT), an antioxidant biomolecule, in combination with edible hydrocolloid coatings like carboxymethylcellulose (CMC) and gum Arabic (G.A.) on 'Snow Queen' nectarine fruits. The nectarines were treated with various combinations of coatings, including 1% and 1.5% CMC, 8% and 10% G.A., and 0.1 mM melatonin. These coated and non-coated samples were stored under standard supermarket conditions (18 ± 1 °C, 85-90% R.H.) for 16 days. The outcomes demonstrated that the most effective treatment was the combination of 1% CMC with 0.1 mM melatonin. This treatment significantly (

Indexed as

antioxidantshydrocolloid coatingsmelatoninnectarinesshelf-life

Identifiers

PMID38592840
PMCPMC10974631
OpenAlexW4392763509

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.