Evidence map›Paper›PMID 35889340›Full record

ArticleMolecules (Basel, Switzerland)2022

Development and Optimization of Ciprofloxacin HCl-Loaded Chitosan Nanoparticles Using Box-Behnken Experimental Design.

Noha M Soliman, Faiyaz Shakeel, Nazrul Haq, Fars K Alanazi, Sultan Alshehri, Mohsen Bayomi, Ahmed S M Alenazi, Ibrahim A Alsarra

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
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

13 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
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  12. Development of Chincho (Gels (Basel, Switzerland) · 2022
    Article
  13. 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

8 authors at 1 institution in 1 country.

Noha M SolimanDepartment of Pharmaceutics, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia.
Faiyaz ShakeelDepartment of Pharmaceutics, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia.
Nazrul HaqDepartment of Pharmaceutics, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia.
Fars K AlanaziDepartment of Pharmaceutics, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia.ORCID 0000-0002-0757-3245
Sultan AlshehriDepartment of Pharmaceutics, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia.ORCID 0000-0002-0922-9819
Mohsen BayomiDepartment of Pharmaceutics, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia.
Ahmed S M AlenaziDepartment of Pharmaceutics, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia.
Ibrahim A AlsarraDepartment of Pharmaceutics, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia.ORCID 0000-0001-5288-5953
King Saud University · SA

Funding

King Saud University RSP-2021/146
6 · The paper itself

Abstract

Various chitosan (CS)-based nanoparticles (CS-NPs) of ciprofloxacin hydrochloride (CHCl) have been investigated for therapeutic delivery and to enhance antimicrobial efficacy. However, the Box-Behnken design (BBD)-supported statistical optimization of NPs of CHCl has not been performed in the literature. As a result, the goal of this study was to look into the key interactions and quadratic impacts of formulation variables on the performance of CHCl-CS-NPs in a systematic way. To optimize CHCl-loaded CS-NPs generated by the ionic gelation process, the response surface methodology (RSM) was used. The BBD was used with three factors on three levels and three replicas at the central point. Tripolyphosphate, CS concentrations, and ultrasonication energy were chosen as independent variables after preliminary screening. Particle size (PS), polydispersity index (PDI), zeta potential (ZP), encapsulation efficiency (EE), and in vitro release were the dependent factors (responses). Prepared NPs were found in the PS range of 198-304 nm with a ZP of 27-42 mV. EE and drug release were in the range of 23-45% and 36-61%, respectively. All of the responses were optimized at the same time using a desirability function based on Design Expert

Indexed as

ChitosanNanoparticlesCiprofloxacinDrug CarriersParticle SizeResearch DesignChitosanCiprofloxacinDrug Carriersantibacterial effectsBox–Behnken designchitosan nanoparticlesciprofloxacin HCldesirability functionresponse surface methodology

Identifiers

PMID35889340
PMCPMC9321140
OpenAlexW4285392435

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.