Evidence map›Paper›PMID 33719021›Full record

ArticleAAPS PharmSciTech2021

Development and Evaluation of Cocoa Butter Taste Masked Ibuprofen Using Supercritical Carbon Dioxide.

Rana Obaidat, Haneen Aleih, Hadeia Mashaqbeh, Bashar Altaani, Mo'tasem M Alsmadi, Mohammad Alnaief

Abstract read
PubMed Publisher
In one paragraph

Article in AAPS PharmSciTech, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Supercritical COPharmaceutics · 2021
    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

6 authors at 2 institutions in 1 country.

Rana ObaidatDepartment of Pharmaceutical Technology, Faculty of Pharmacy, Jordan University of Science and Technology, Irbid, Jordan. obeidatrana@yahoo.com.
Haneen AleihDepartment of Pharmaceutical Technology, Faculty of Pharmacy, Jordan University of Science and Technology, Irbid, Jordan.
Hadeia MashaqbehDepartment of Pharmaceutical Technology, Faculty of Pharmacy, Jordan University of Science and Technology, Irbid, Jordan.
Bashar AltaaniDepartment of Pharmaceutical Technology, Faculty of Pharmacy, Jordan University of Science and Technology, Irbid, Jordan.
Mo'tasem M AlsmadiDepartment of Pharmaceutical Technology, Faculty of Pharmacy, Jordan University of Science and Technology, Irbid, Jordan.
Mohammad AlnaiefDepartment of Pharmaceutical and Chemical Engineering, Faculty of Applied Medical Sciences, German Jordanian University, Amman, Jordan.
Jordan University of Science and Technology · JOGerman Jordanian University · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Masking the unpleasant taste of the pharmaceutically active ingredients plays a critical role in patient acceptance, particularly for children. This work's primary objective was the preparation of taste-masked ibuprofen microparticles using cocoa butter with the assistance of supercritical fluid technology. Microparticles were prepared by dissolving ibuprofen in melted cocoa butter at 40 °C. The solution was then introduced into a supercritical fluid unit and processed at 10 MPa CO

Indexed as

Anti-Inflammatory Agents, Non-SteroidalCarbon DioxideChromatography, Supercritical FluidDietary FatsDrug DevelopmentHumansIbuprofenParticle SizeTasteX-Ray DiffractionAnti-Inflammatory Agents, Non-SteroidalCarbon Dioxidecocoa butterDietary FatsIbuprofencocoa butteribuprofensolid dispersionsupercritical fluid technologytaste masking

Identifiers

PMID33719021
OpenAlexW3137809998

What OpenQuestion holds

Textmetadata
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.