Evidence map›Paper›PMID 40369161›Full record

ArticleScientific reports2025

Formulation optimization of furosemide floating-bioadhesive matrix tablets using waste-derived Citrus aurantifolia peel pectin as a polymer.

Ebrahim Abdela Siraj, Yohannes Mulualem, Fantahun Molla, Ashagrachew Tewabe Yayehrad, Anteneh Belete

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

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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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

5 authors.

Ebrahim Abdela SirajDepartment of Pharmaceutics and Social Pharmacy, School of Pharmacy, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Yohannes MulualemDepartment of Pharmaceutics and Social Pharmacy, School of Pharmacy, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Fantahun MollaDepartment of Pharmaceutics and Social Pharmacy, School of Pharmacy, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Ashagrachew Tewabe YayehradDepartment of Pharmacy, College of Medicine and Health Sciences, Bahir Dar University, P.O. Box 79, Bahir Dar, Ethiopia.
Anteneh BeleteDepartment of Pharmaceutics and Social Pharmacy, School of Pharmacy, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia. anteneh.belete@aau.edu.et.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural polymers such as pectin have garnered significant interest in recent years due to their potential applications in gastroretentive drug delivery systems. Gastroretentive dosage forms are intended to extend the emptying time of drugs in the gastrointestinal tract. Accordingly, this study was aimed to examine the use of pectin as a floating and mucoadhesive polymer using furosemide as a model drug. The citrus peel pectin was extracted from local Citrus aurantifolia tree fruit peel using hot water extraction technique. FTIR and DSC analyses were performed to investigate the compatibility of the pectin extracted with furosemide. C. aurantifolia peel yielded 34.4% (w/w) purified pectin with a degree of esterification of 85.49%. FTIR and DSC analysis revealed that the citrus peel pectin powder is compatible with furosemide. Based on preliminary study, pectin and effervescent agent concentration were identified as significant independent variables. Hence, their influence on five response variables (floating duration, bioadhesive strength, swelling index, drug release at 1 h, and drug release rate) were further studied and optimized using central composite design (CCD). Accordingly, the CCD model predicted an optimum formulation at 22.3% of pectin concentration and 5% of effervescent agent. Under this condition, the Design-Expert software predicted floating duration (14.07 s), bioadhesive strength (28.57 g), swelling index (254.08%), drug release at 1 h (27.86%), and drug release rate (28.045%/h

Indexed as

CitrusFurosemidePectinsPolymersTabletsChemistry, PharmaceuticalDrug CompoundingDrug Delivery SystemsDrug LiberationSpectroscopy, Fourier Transform InfraredFurosemidePectinsPolymersTabletsBioadhesiveCitrus aurantifoliaFloatingFurosemideOptimizationPectin

Identifiers

PMID40369161
PMCPMC12078506

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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.