Evidence map›Paper›PMID 35733689›Full record

ArticleRSC advances2022

A new green approach for the reduction of consumed solvents and simultaneous quality control analysis of several pharmaceuticals using a fast and economic RP-HPLC method; a case study for a mixture of piracetam, ketoprofen and omeprazole drugs.

Mohamed A Abdelgawad, Eglal A Abdelaleem, Mohammed Gamal, Mohammed A S Abourehab, Nessreen S Abdelhamid

Abstract read
In one paragraph

Article in RSC advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

7 citing papers in PubMed.

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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.

Mohamed A AbdelgawadDepartment of Pharmaceutical Chemistry, College of Pharmacy, Jouf University Aljouf 72341 Saudi Arabia mhmdgwd@ju.edu.sa.
Eglal A AbdelaleemPharmaceutical Analytical Chemistry Department, Faculty of Pharmacy, Beni-Suef University Alshaheed Shehata Ahmad Hegazy St. 62514 Beni-Suef Egypt mgamalm3000@yahoo.com.
Mohammed GamalPharmaceutical Analytical Chemistry Department, Faculty of Pharmacy, Beni-Suef University Alshaheed Shehata Ahmad Hegazy St. 62514 Beni-Suef Egypt mgamalm3000@yahoo.com.ORCID https://orcid.org/0000-0002-4674-6516
Mohammed A S AbourehabDepartment of Pharmaceutics, Faculty of Pharmacy, Umm Al-Qura University Makkah 21955 Saudi Arabia.
Nessreen S AbdelhamidPharmaceutical Analytical Chemistry Department, Faculty of Pharmacy, Beni-Suef University Alshaheed Shehata Ahmad Hegazy St. 62514 Beni-Suef Egypt mgamalm3000@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the main aims of green analytical chemistry (GAC) is the reduction of solvents and chemicals consumed. Recycling the mobile phase in chromatographic techniques provides an efficient way to implement GAC principles. However, this is not an easy job, particularly in the case of the gradient mode. Analysis of multi-pharmaceuticals for the same manufacturer using one mobile phase system dramatically reduces consumed solvents, time, and cost for pharmaceuticals analysis in quality control laboratories. This work is an attempt to reduce time, cost and effort needed for quality control analysis of several dosage forms produced by the same manufacturer. Our novel and green RP-HPLC method is able to separate and quantify a tertiary mixture of piracetam, ketoprofen and omeprazole produced by the same manufacturers. The analyst can easily quantify the three drugs in the three dosage forms in one run using the gradient elution mode of methanol and water (from 50% methanol to 85% methanol in ten minutes) with a flow rate 1.5 mL min

Identifiers

PMID35733689
PMCPMC9159347

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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.