Evidence map›Paper›PMID 37721917›Full record

ArticleBiomedica : revista del Instituto Nacional de Salud2023

Method validation for the quantification of fluconazole and its organic impurities in raw material using high-performance liquid chromatography

James Alexander Castillo, Natalia Afanasjeva

Abstract readEnglish Abstract
In one paragraph

Article in Biomedica : revista del Instituto Nacional de Salud, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

2 authors.

James Alexander CastilloPrograma de Química, Universidad del Valle, Cali, Colombia. james.castillo@correounivalle.edu.co.ORCID 0000-0001-9062-0972
Natalia AfanasjevaDepartamento de Química, Facultad de Ciencias Naturales y Exactas, Universidad del Valle, Cali, Colombia. natalia.afanasjeva@correounivalle.edu.co.ORCID 0000-0002-6184-1458

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction. The real laboratory conditions of each country, including climate, can affect the method’s efficiency in analyzing a pharmacological substance. Thus, it is necessary to validate the process according to the corresponding guidelines and optimize it to ensure success and confidence in the results. Objective. The objective was to validate a methodology for fluconazole and its organic impurities quantification in raw material using high-performance liquid chromatography, with a diode array detector, under tropical climate conditions, and complying with all regulatory requirements. Materials and methods. We performed pre-validation tests of the method consisting of system adequacy, filters study, quantification limit, absence of systematic error, forced degradation studies, and solutions stability. In addition, we validated the specificity, linearity, accuracy, precision, and robustness of the system. Results. Separation of the degradation products from the analyte peaks allowed the achievement of the method’s spectral purity. The solution’s stability was not affected during the evaluated time (24 hours) at room temperature and under refrigeration. Linearity resulted in correlation coefficients greater than or equal to 0.999 for the evaluation and greater than or equal to 0.997 for impurities. We obtained a fluconazole recovery varying from 98 to 102% with an accuracy between 80 to 120% for impurities detection. The repeatability and reproducibility factor did not exceed a relative standard deviation of 2.0% for the evaluation and of 5.0% for the impurities, demonstrating the adequate robustness of the method. In addition, a short analysis execution time allowed the quick determination of the raw material quality. Conclusion. We demonstrated that the fluconazole quantification method validated by high-performance liquid chromatography is sufficiently selective, precise, exact, linear, and robust to generate accurate analytical results under real conditions, including the tropical climate of Colombia.

Indexed as

analyticchemistrychromatographydrug contaminationEvaluation studies as topicfluconazoleliquidvalidation study

Identifiers

PMID37721917
PMCPMC10588965

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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.