Evidence map›Paper›PMID 38062520›Full record

ArticleBMC chemistry2023

Novel analytical method based on chemometric models applied to UV-Vis spectrophotometric data for simultaneous determination of Etoricoxib and Paracetamol in presence of Paracetamol impurities.

Mona A Abdel Rahman, Mohamed R Elghobashy, Hala E Zaazaa, Sally S El-Mosallamy

Abstract read
In one paragraph

Article in BMC chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

4 authors.

Mona A Abdel RahmanAnalytical Chemistry Department, Faculty of Pharmacy, October 6 University, 6 October City, PO box 12858, Giza, Egypt.
Mohamed R ElghobashyAnalytical Chemistry Department, Faculty of Pharmacy, October 6 University, 6 October City, PO box 12858, Giza, Egypt.
Hala E ZaazaaAnalytical Chemistry Department, Faculty of Pharmacy, Cairo University, Kasr El-Aini St, PO 11562, Cairo, Egypt.
Sally S El-MosallamyAnalytical Chemistry Department, Faculty of Pharmacy, Cairo University, Kasr El-Aini St, PO 11562, Cairo, Egypt. sally.el-mosallamy@pharma.cu.edu.eg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The multivariate models that are used for spectral data analysis have many beneficial applications, and one of the important applications is the analysis of drugs and their impurities. Three Chemometrically-assisted spectrophotometric models have been proposed and validated. The proposed models are Partial Least Squares (PLS), Artificial Neural Networks (ANN), and Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS). The advanced chemometric models were applied to resolve the significantly overlapping spectra of Etoricoxib (ETO) and Paracetamol (PCM), along with impurities of PCM namely; P-aminophenol (PAP) and P-hydroxy acetophenone (PHA). The proposed models succeeded in simultaneously analyzing the mixture of ETO and PCM along with the impurities of PCM. So, the proposed techniques can be used without requiring a separation step in the analysis of pharmaceutical formulation. Moreover, no significant differences were found when the results of the suggested and published chemometric models were compared statistically with the reported HPLC method.

Indexed as

ANNEtoricoxibImpuritiesMCR-ALSParacetamolPLS

Identifiers

PMID38062520
PMCPMC10702036

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Registered trials

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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.