Evidence map›Paper›PMID 42222810›Full record

ArticleACS omega2026

Preparation and Structural Characterization of Micron-Sized Natural Starch Microspheres via the Membrane Emulsification Method.

Wanqian Pan, Dan Qiu, Xuechen Zhuang, Youquan Zhang, Like Mao, Zhiguo Zhang, Raozhen Zuo, Tao Li, Zhiduo Pei

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS omega, 2026. 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
–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

0 citing papers in PubMed.

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

9 authors.

Wanqian PanSchool of Chemistry and Chemical Engineering, Guangxi University, Nanning 530004, China.
Dan QiuSchool of Biological and Chemical Engineering, NingboTech University, Ningbo 315100, China.ORCID https://orcid.org/0000-0001-8454-6120
Xuechen ZhuangSchool of Materials and Chemical Engineering, Ningbo University of Technology, Ningbo, Zhejiang 315211, China.
Youquan ZhangSchool of Chemistry and Chemical Engineering, Guangxi University, Nanning 530004, China.
Like MaoCollege of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China.ORCID https://orcid.org/0000-0002-1418-5224
Zhiguo ZhangSchool of Mechanical and Energy Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China.ORCID https://orcid.org/0000-0003-4434-4377
Raozhen ZuoSchool of Materials and Chemical Engineering, Ningbo University of Technology, Ningbo, Zhejiang 315211, China.
Tao LiSchool of Biological and Chemical Engineering, NingboTech University, Ningbo 315100, China.
Zhiduo PeiSchool of Biological and Chemical Engineering, NingboTech University, Ningbo 315100, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Starch microspheres with uniform morphology and controllable particle size show significant application value. In this work, micrometer-sized natural starch microspheres (SMs) were prepared via membrane emulsification for the first time. Transmembrane pressure and the dispersed phase concentration significantly affect the morphology of SMs. The average particle size decreased with an increase in the transmembrane pressure, while a higher dispersed phase concentration yielded a more uniform particle size distribution. Under optimized membrane emulsification conditions (0.2 MPa and 10% dispersed phase concentration), debranched corn starch microspheres (CSM, 7.93 ± 0.12 μm) and debranched amaranth starch microspheres (ASM, 0.95 ± 0.01 μm) were successfully prepared. Gel permeation chromatography (GPC) analysis showed that the SMs had a lower molecular weight dispersity (

Identifiers

PMID42222810
PMCPMC13216957

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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.