Evidence map›Paper›PMID 38910484›Full record

ArticleCurrent pharmaceutical design2024

Nanofabrication of Losartan Potassium Sustained Release Floating Microspheres using Different Grades of Ethyl Cellulose and its Insight on Release Profiles.

Tanavirsing Rajput, Popat Mohite, Santosh Ghule, Kuldeep Vinchurkar, Sudarshan Singh

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Article in Current pharmaceutical design, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Review
4 · The record

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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

5 authors.

Tanavirsing RajputDepartment of Pharmaceutical Technology, St. John Institute of Pharmacy and Research, Palghar, India.
Popat MohiteDepartment of Pharmaceutical Technology, St. John Institute of Pharmacy and Research, Palghar, India.
Santosh GhuleDepartment of Pharmaceutics, Savitribai Phule Pune University, Pune, India.
Kuldeep VinchurkarDepartment of Pharmaceutics and Pharmaceutical Technology, Krishna School of Pharmacy and Research, Krishna School of Emerging Technology and Applied Research, Drs. Kiran and Pallavi Patel Global Univeristy (KPGU), Varnama, Vadodara, Gujarat 391240, India.
Sudarshan SinghFaculty of Pharmacy, Chiang Mai University, Chiang Mai 50200, Thailnd.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionA sustained release system for losartan potassium designed to delay its residence time in the stomach through the preparation of solvent evaporation technique-based floating microspheres. The influence of the different grades of Ethocel™ such as 4 cps, 10 cps, and 22 cps as well as the drug: polymer ratio on various properties of microspheres were tested.

methodsThermal and functional analysis revealed no interaction between the encapsulated drug and polymer. The results indicated that the mean diameter of microspheres increased with a change in grades of ethyl cellulose relating to viscosity. However, the drug incorporation efficiency within ethyl cellulose microspheres decreased with increasing viscosity of ethyl cellulose.

resultsThe bulk density of the formulations was proportionally dependent on concentration and the viscosity of the polymer, which resulted in a decrease in floating capacity from 90.02% to 73.58%. Moreover, the drug release was indirectly proportional to the viscosity of ethyl cellulose tested. The in vitro release profile exhibited a burst effect with a biphasic release pattern following Fickian diffusion, indicating a diffusioncontrolled release mechanism.

conclusionThe results demonstrated that the viscosity of ethyl cellulose significantly affects the floating capacity and drug release pattern from microspheres.

Indexed as

CelluloseDelayed-Action PreparationsDrug LiberationLosartanMicrospheresParticle SizeViscosityCelluloseDelayed-Action Preparationsethyl celluloseLosartanEthyl cellulosefloating microspheregelling polymerlosartan potassiumsolvent evaporationsustained release system.

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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.