Evidence map›Paper›PMID 27465619›Full record

ArticleDrug delivery and translational research2016

Formulation and statistical optimization of self-microemulsifying drug delivery system of eprosartan mesylate for improvement of oral bioavailability.

Pankaj Dangre, Ritu Gilhotra, Shashikant Dhole

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Article in Drug delivery and translational research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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0cells of the map it votes in
8citing 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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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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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

3 authors.

Pankaj DangreDepartment of Pharmaceutics, Kamla Nehru College of Pharmacy, Butibori, Nagpur, Maharashtra, 441108, India. pankaj_dangre@rediffmail.com.ORCID 0000-0003-4750-9384
Ritu GilhotraDepartment of Pharmaceutics, Suresh GyanVihar University, Mahal, Jagtpura, Jaipur, Rajasthan, 302025, India.
Shashikant DholeDepartment of Pharmaceutics, Modern College of Pharmacy (For Ladies), Moshi, Pune, Maharashtra, 421105, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present investigation is aimed to design a statistically optimized self-microemulsifying drug delivery system (SMEDDS) of eprosartan mesylate (EM). Preliminary screening was carried out to find a suitable combination of various excipients for the formulation. A 3(2) full factorial design was employed to determine the effect of various independent variables on dependent (response) variables. The independent variables studied in the present work were concentration of oil (X 1) and the ratio of S mix (X 2), whereas the dependent variables were emulsification time (s), globule size (nm), polydispersity index (pdi), and zeta potential (mV), and the multiple linear regression analysis (MLRA) was employed to understand the influence of independent variables on dependent variables. Furthermore, a numerical optimization technique using the desirability function was used to develop a new optimized formulation with desired values of dependent variables. The optimized SMEDDS formulation of eprosartan mesylate (EMF-O) by the above method exhibited emulsification time, 118.45 ± 1.64 s; globule size, 196.81 ± 1.29 nm; zeta potential, -9.34 ± 1.2 mV, and polydispersity index, 0.354 ± 0.02. For the in vitro dissolution study, the optimized formulation (EMF-O) and pure drug were separately entrapped in the dialysis bag, and the study indicated higher release of the drug from EMF-O. In vivo pharmacokinetic studies in Wistar rats using PK solver software revealed 2.1-fold increment in oral bioavailability of EM from EMF-O, when compared with plain suspension of pure drug.

Indexed as

AcrylatesAdministration, OralAnimalsBiological AvailabilityDrug Delivery SystemsDrug LiberationEmulsionsExcipientsImidazolesMaleParticle SizeRatsSolubilityThiophenesAcrylatesEmulsionseprosartanExcipientsImidazolesThiophenesBioavailabilityEprosartan mesylateFactorial designOptimizationSelf-microemulsifying drug delivery 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.