Evidence map›Paper›PMID 36499942›Full record

ArticleMaterials (Basel, Switzerland)2022

Electrospraying of Bio-Based Chitosan Microcapsules Using Novel Mixed Cross-Linker: Experimental and Response Surface Methodology Optimization.

Lydia Uko, Hussien Noby, Abdelrahman Zkria, Marwa ElKady

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  6. Article
  7. Application of Biomedical Microspheres in Wound Healing.International journal of molecular sciences · 2023
    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

4 authors.

Lydia UkoChemical and Petrochemicals Engineering, Egypt-Japan University of Science and Technology, Alexandria 21934, Egypt.ORCID 0000-0002-2351-4210
Hussien NobyChemical and Petrochemicals Engineering, Egypt-Japan University of Science and Technology, Alexandria 21934, Egypt.ORCID 0000-0003-0190-731X
Abdelrahman ZkriaDepartment of Applied Science for Electronics and Materials, Kyushu University, Kasuga, Fukuoka 816-8580, Japan.ORCID 0000-0003-0928-8752
Marwa ElKadyChemical and Petrochemicals Engineering, Egypt-Japan University of Science and Technology, Alexandria 21934, Egypt.ORCID 0000-0002-9735-0212

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chitosan microcapsules draw attention due to their biodegradability, biocompatibility, antibacterial behavior, low cost, easy processing, and the capability to be used for different applications. This study utilized the electrospraying technique for the chitosan microcapsules formulation. As a novel cross-linking agent, a mixture of oxalic acid and sodium phosphate dibasic was utilized as a collecting solution for the first time in the electrospraying of chitosan microcapsules. Scanning Electron Microscopy (SEM) was utilized to optimize the spherical morphology and size of the experimentally obtained microcapsules. The different parameters, including chitosan concentration, applied voltage, flow rate, and tip-to-collector (TTC) distance, affecting the microcapsules' size, sphericity, yield, and combined effects were optimized using Surface Responses Methodology (RSM). The Analysis of Variance (ANOVA) was utilized to obtain the impact of each parameter on the process responses. Accordingly, the results illustrated the significant impact of the voltage parameter, with the highest F-values and least

Indexed as

chitosanelectrosprayingmicrocapsulesoptimizationsurface responses methodology

Identifiers

PMID36499942
PMCPMC9740313

What OpenQuestion holds

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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.