Evidence map›Paper›PMID 29368174›Full record

ArticlePharmaceutical research2018

Impact of Drug-Polymer Miscibility on Enthalpy Relaxation of Irbesartan Amorphous Solid Dispersions.

Sonu Dalsania, Jagadish Sharma, Bhushan Munjal, Arvind K Bansal

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Article in Pharmaceutical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.4field-weighted citation impact, top 22% of its field
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

The trial behind it

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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, 18 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Sonu DalsaniaDepartment of Pharmaceutics, National Institute of Pharmaceutical Education and Research (NIPER), Sector - 67, S.A.S. Nagar, Mohali, Punjab, 160 062, India.
Jagadish SharmaDepartment of Pharmaceutics, National Institute of Pharmaceutical Education and Research (NIPER), Sector - 67, S.A.S. Nagar, Mohali, Punjab, 160 062, India.
Bhushan MunjalDepartment of Pharmaceutics, National Institute of Pharmaceutical Education and Research (NIPER), Sector - 67, S.A.S. Nagar, Mohali, Punjab, 160 062, India.
Arvind K BansalDepartment of Pharmaceutics, National Institute of Pharmaceutical Education and Research (NIPER), Sector - 67, S.A.S. Nagar, Mohali, Punjab, 160 062, India. akbansal@niper.ac.in.
National Institute of Pharmaceutical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDrug-polymer miscibility has been proposed to play a critical role in physical stability of amorphous solid dispersions (ASDs). The purpose of the current work was to investigate the role of drug-polymer miscibility on molecular mobility, measured as enthalpy relaxation (ER) of amorphous irbesartan (IBS) in ASDs.

methodsTwo polymers, i.e. polyvinylpyrrolidone K30 (PVP K30) and hydroxypropyl methylcellulose acetate succinate (HPMCAS), were used to generate ASDs with 10% w/w of the polymer. Drug-polymer miscibility was determined using melting point depression (MPD) method. Molecular mobility was assessed from ER studies at a common degree of undercooling (DOU) (T

resultsIBS exhibited higher miscibility in PVP K30 as compared to HPMCAS at temperature > 140°C. However, extrapolation of miscibility data to storage temperature (62°C) using Flory-Huggins (F-H) theory revealed a reversal of the trend. Miscibility of IBS was found to be higher in HPMCAS (2.6%) than PVP K30 (1.3%) at 62°C. Stretched relaxation time (τ

conclusionMiscibility of drug-polymer at storage temperature explained the behavior of the molecular mobility, while miscibility near the melting point provided a reverse trend. Results suggest that drug-polymer miscibility determined at temperatures higher than the storage temperature should be viewed cautiously.

Indexed as

Biological AvailabilityChemistry, PharmaceuticalDrug CompoundingDrug StabilityDrug StorageExcipientsIrbesartanMethylcellulosePovidoneSolubilityTemperatureExcipientshydroxypropylmethylcellulose acetate succinateIrbesartanMethylcellulosepolyvinylpyrollidon K30Povidoneamorphous solid dispersionenthalpy relaxationGibb’s free energy of mixingirbesartanmiscibility

Identifiers

PMID29368174
OpenAlexW2784170356

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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.