Evidence map›Paper›PMID 39959070›Full record

ArticleACS omega2025

Preparation and Properties of Sodium Carboxymethyl Cellulose Microspheres by Dropping Method.

Ling Wang, De-Shuang You, Dan-Yan Guo, Xue-Chen Zhuang, Tao Yuan, Dan Qiu

Abstract read
In one paragraph

Article in ACS omega, 2025. 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. Article
  2. Article
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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

6 authors.

Ling WangSchool of Chemical Engineering, Ningbo Polytechnic, Ningbo, Zhejiang 315800, China.
De-Shuang YouSchool of Chemical Engineering, Ningbo Polytechnic, Ningbo, Zhejiang 315800, China.
Dan-Yan GuoSchool of Chemical Engineering, Ningbo Polytechnic, Ningbo, Zhejiang 315800, China.
Xue-Chen ZhuangSchool of Materials and Chemical Engineering, Ningbo University of Technology, Ningbo, Zhejiang 315211, China.
Tao YuanSchool of Biological and Chemical Engineering, NingboTech University, Ningbo, Zhejiang 315100, China.ORCID https://orcid.org/0009-0004-9354-6850
Dan QiuSchool of Materials and Chemical Engineering, Ningbo University of Technology, Ningbo, Zhejiang 315211, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sodium carboxymethyl cellulose (CMC) is the most extensively utilized derivative of cellulose. In this study, an innovative approach was employed to disperse a CMC aqueous solution into olive oil in the form of liquid droplets, resulting in the direct formation of CMC microspheres after drying. The effects of CMC concentration and needle aperture size on microsphere formation were systematically investigated, showing that the particle size of the microspheres decreased with an increase in CMC concentration and a decrease in needle aperture. The CMC-based microspheres exhibited a consistently uniform spheroid morphology with particle sizes ranging from 1.5 to 2.5 mm, and a three-dimensional uniform polymeric network structure. Furthermore, the drug loading efficiency of the CMC-based olive oil microspheres reached 82.18%, which was markedly superior to that of other cellulose-based microspheres for fat-soluble substances. The CMC-based vitamin C (VC) microspheres exhibited an ultimate drug loading efficiency of approximately 24%, and their maximum encapsulation efficiency was 78.57% at a VC concentration of 30%, which was significantly higher than that of starch-based VC microspheres. Additionally, the CMC-based VC microspheres realized a sustained and stable release rate in ethanol at 30 °C.

Identifiers

PMID39959070
PMCPMC11822707

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.