Evidence map›Paper›PMID 37372636›Full record

ReviewFoods (Basel, Switzerland)2023

Advances in Starch Nanoparticle for Emulsion Stabilization.

Jianwei Zhou, Meimei Guo, Yu Qin, Wenjun Wang, Ruiling Lv, Enbo Xu, Tian Ding, Donghong Liu, Zhengzong Wu

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

9 authors.

Jianwei ZhouSchool of Mechanical and Energy Engineering, NingboTech University, Ningbo 315100, China.
Meimei GuoSchool of Mechanical and Energy Engineering, NingboTech University, Ningbo 315100, China.
Yu QinSchool of Mechanical and Energy Engineering, NingboTech University, Ningbo 315100, China.
Wenjun WangInnovation Center of Yangtze River Delta, Zhejiang University, Jiaxing 314102, China.
Ruiling LvSchool of Mechanical and Energy Engineering, NingboTech University, Ningbo 315100, China.
Enbo XuInnovation Center of Yangtze River Delta, Zhejiang University, Jiaxing 314102, China.
Tian DingInnovation Center of Yangtze River Delta, Zhejiang University, Jiaxing 314102, China.
Donghong LiuNingbo Innovation Center, Zhejiang University, Ningbo 315100, China.
Zhengzong WuState Key Laboratory of Biobased Material and Green Papermaking, School of Food Science and Engineering, Qilu University of Technology, Shandong Academy of Sciences, Jinan 250353, China.ORCID 0000-0003-4345-1824

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Starch nanoparticles (SNPs) are generally defined as starch grains smaller than 600-1000 nm produced from a series of physical, chemical, or biologically modified starches. Many studies have reported the preparation and modification of SNPs, which are mostly based on the traditional "top-down" strategy. The preparation process generally has problems with process complexity, long reaction periods, low yield, high energy consumption, poor repeatability, etc. A "bottom-up" strategy, such as an anti-solvent method, is proven to be suitable for the preparation of SNPs, and they are synthesized with small particle size, good repeatability, a low requirement on equipment, simple operation, and great development potential. The surface of raw starch contains a large amount of hydroxyl and has a high degree of hydrophilicity, while SNP is a potential emulsifier for food and non-food applications.

Indexed as

microstructurePickering emulsionpreparation strategystabilitystarch nanoparticle

Identifiers

PMID37372636
PMCPMC10297589

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.