Evidence map›Paper›PMID 37810726›Full record

ArticleACS omega2023

Qualitative and Quantitative Analysis of Azithromycin as Solid Dosage by Raman Spectroscopy.

Muhammad Shahbaz, Ayesha Tariq, Muhammad Irfan Majeed, Haq Nawaz, Nosheen Rashid, Hina Shehnaz, Kiran Kainat, Hawa Hajab, Maryam Tahira, Noor Ul Huda and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS omega, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

3 citing papers in PubMed, 14 citations in OpenAlex.

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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

12 authors at 2 institutions in 2 countries.

Muhammad ShahbazDepartment of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
Ayesha TariqDepartment of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
Muhammad Irfan MajeedDepartment of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.ORCID https://orcid.org/0000-0003-0506-6060
Haq NawazDepartment of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.ORCID https://orcid.org/0000-0003-2739-4735
Nosheen RashidDepartment of Chemistry, University of Education, Faisalabad Campus, Faisalabad 38000, Pakistan.
Hina ShehnazDepartment of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
Kiran KainatDepartment of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
Hawa HajabDepartment of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
Maryam TahiraDepartment of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
Noor Ul HudaDepartment of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
Hira TahseenDepartment of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
Muhammad ImranDepartment of Chemistry, Faculty of Science, King Khalid University, P.O. Box 9004, Abha 61413, Saudi Arabia.
University of Faisalabad · PKKing Khalid University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Active pharmaceutical ingredients (APIs) and excipients are main drug constituents that ought to be identified qualitatively and quantitatively. Raman spectroscopy is aimed to be an efficient technique for pharmaceutical analysis in solid dosage forms. This technique can successfully be used in terms of qualitative and quantitative analysis of pharmaceutical drugs, their APIs, and excipients. In the proposed research, Raman spectroscopy has been employed to quantify Azithromycin based on its distinctive Raman spectral features by using commercially prepared formulations with altered API concentrations and excipients as well. Along with Raman spectroscopy, principal component analysis and partial least squares regression (PLSR), two multivariate data analysis techniques have been used for the identification and quantification of the API. For PLSR, goodness of fit of the model (

Identifiers

PMID37810726
PMCPMC10552109
OpenAlexW4386882771

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.