Evidence map›Paper›PMID 41097554›Full record

ArticleFoods (Basel, Switzerland)2025

Optimization of Nano-SiO

Peng Huang, Jie Ding, Yu Han, Ling Gong, Fang Wu, Yaowen Liu, Pinyao Zhao, Zuying Yang, Lin Ye, Shanshan Zhou and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

11 authors.

Peng HuangDepartment of Quality Management & Inspection, Yibin University, 8 Jiusheng Road, Yibin 644000, China.
Jie DingCollege of Food Science and Technology, Sichuan Tourism University, 459 Hongling Road, Chengdu 610100, China.ORCID 0000-0003-2023-2450
Yu HanDepartment of Quality Management & Inspection, Yibin University, 8 Jiusheng Road, Yibin 644000, China.
Ling GongDepartment of Quality Management & Inspection, Yibin University, 8 Jiusheng Road, Yibin 644000, China.
Fang WuSichuan Higher Education Engineering Research Center for Agri-Food Standardization and Inspection, Yibin University, 8 Jiusheng Road, Yibin 644000, China.
Yaowen LiuCollege of Food Science, Sichuan Agricultural University, 46 Xinkang Road, Ya'an 625014, China.ORCID 0000-0003-1408-7509
Pinyao ZhaoDepartment of Quality Management & Inspection, Yibin University, 8 Jiusheng Road, Yibin 644000, China.
Zuying YangSichuan Higher Education Engineering Research Center for Agri-Food Standardization and Inspection, Yibin University, 8 Jiusheng Road, Yibin 644000, China.
Lin YeSichuan Higher Education Engineering Research Center for Agri-Food Standardization and Inspection, Yibin University, 8 Jiusheng Road, Yibin 644000, China.ORCID 0000-0002-8783-7908
Shanshan ZhouSichuan Higher Education Engineering Research Center for Agri-Food Standardization and Inspection, Yibin University, 8 Jiusheng Road, Yibin 644000, China.
Wen QinCollege of Food Science, Sichuan Agricultural University, 46 Xinkang Road, Ya'an 625014, China.

Funding

Sichuan Higher Education Engineering Research Center for Standardization 24NSYJZX02Yibin University 2023QH09
6 · The paper itself

Abstract

Edible composite coatings represent an alternative approach to reducing postharvest losses and extending the shelf life of perishable fruits. This study developed a nano-biopolymer coating by integrating pullulan (PUL), nano-silica (Nano-SiO

Indexed as

amorphous nano-silicaBox–Behnken designcherry tomatofood safetypostharvest qualitypullulan-based coatingternary composite

Identifiers

PMID41097554
PMCPMC12524071

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.