Cargando…

Simultaneous quantification of artesunate and mefloquine in fixed-dose combination tablets by multivariate calibration with middle infrared spectroscopy and partial least squares regression

BACKGROUND: Malaria is one of the most lethal and life-threatening infectious diseases in the world, causing more than half a million deaths annually. Treatment with mefloquine and artesunate is currently recommended by the World Health Organization, and was historically the first artemisinin-based...

Descripción completa

Detalles Bibliográficos
Autores principales: Marson, Breno Maurício, de Oliveira Vilhena, Raquel, de Souza Madeira, Camilla Regina, Pontes, Flávia Lada Degaut, Piantavini, Mário Sérgio, Pontarolo, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4765072/
https://www.ncbi.nlm.nih.gov/pubmed/26911371
http://dx.doi.org/10.1186/s12936-016-1157-1
_version_ 1782417495829774336
author Marson, Breno Maurício
de Oliveira Vilhena, Raquel
de Souza Madeira, Camilla Regina
Pontes, Flávia Lada Degaut
Piantavini, Mário Sérgio
Pontarolo, Roberto
author_facet Marson, Breno Maurício
de Oliveira Vilhena, Raquel
de Souza Madeira, Camilla Regina
Pontes, Flávia Lada Degaut
Piantavini, Mário Sérgio
Pontarolo, Roberto
author_sort Marson, Breno Maurício
collection PubMed
description BACKGROUND: Malaria is one of the most lethal and life-threatening infectious diseases in the world, causing more than half a million deaths annually. Treatment with mefloquine and artesunate is currently recommended by the World Health Organization, and was historically the first artemisinin-based combination therapy used clinically for treatment of Plasmodium falciparum. The problem of poor-quality medicines, such as counterfeit and sub-standard anti-malarials, is a worldwide issue; therefore, it is essential to develop rapid, low cost, solvent-free, and reliable methods for routine quality control for these drugs. The aim of this study was to develop and validate a novel multivariate method for direct simultaneous quantification of mefloquine and artesunate in tablets by diffuse reflectance, middle infrared spectroscopy and partial least squares regression (MIR-PLS). METHODS: Diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) and partial least squares regression were applied for simultaneous quantification of artesunate and mefloquine in tablets provided by the Brazilian Government. The model was obtained with full spectra (4000–400 cm(−1)) preprocessed by first derivative and Savitzky-Golay smoothing followed by mean centring, and built with three latent variables. The method was validated according to Brazilian and international guidelines through the measuring of figures of merit, such as trueness, precision, linearity, analytical sensitivity, selectivity, bias, and residual prediction deviation. The results were compared to an HPLC–MS/MS method. RESULTS: The MIR-PLS method provided root mean square errors of prediction lower than 2.0 mg per 100 mg of powder for the two analytes, and proved to be valid according to guidelines for analytical methods that use infrared (IR) spectroscopy with multivariate calibration. For the samples obtained from Brazilian healthcare units, the method provided results statistically similar to those obtained by HPLC–MS/MS. CONCLUSION: MIR-PLS was found to be suitable for the quality control of these drugs. It is fast, does not use solvents, and does not generate chemical waste. Furthermore, the proposed method may be transferred and developed for use in portable equipment, increasing the possibilities for assessing the quality of these drugs.
format Online
Article
Text
id pubmed-4765072
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-47650722016-02-25 Simultaneous quantification of artesunate and mefloquine in fixed-dose combination tablets by multivariate calibration with middle infrared spectroscopy and partial least squares regression Marson, Breno Maurício de Oliveira Vilhena, Raquel de Souza Madeira, Camilla Regina Pontes, Flávia Lada Degaut Piantavini, Mário Sérgio Pontarolo, Roberto Malar J Methodology BACKGROUND: Malaria is one of the most lethal and life-threatening infectious diseases in the world, causing more than half a million deaths annually. Treatment with mefloquine and artesunate is currently recommended by the World Health Organization, and was historically the first artemisinin-based combination therapy used clinically for treatment of Plasmodium falciparum. The problem of poor-quality medicines, such as counterfeit and sub-standard anti-malarials, is a worldwide issue; therefore, it is essential to develop rapid, low cost, solvent-free, and reliable methods for routine quality control for these drugs. The aim of this study was to develop and validate a novel multivariate method for direct simultaneous quantification of mefloquine and artesunate in tablets by diffuse reflectance, middle infrared spectroscopy and partial least squares regression (MIR-PLS). METHODS: Diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) and partial least squares regression were applied for simultaneous quantification of artesunate and mefloquine in tablets provided by the Brazilian Government. The model was obtained with full spectra (4000–400 cm(−1)) preprocessed by first derivative and Savitzky-Golay smoothing followed by mean centring, and built with three latent variables. The method was validated according to Brazilian and international guidelines through the measuring of figures of merit, such as trueness, precision, linearity, analytical sensitivity, selectivity, bias, and residual prediction deviation. The results were compared to an HPLC–MS/MS method. RESULTS: The MIR-PLS method provided root mean square errors of prediction lower than 2.0 mg per 100 mg of powder for the two analytes, and proved to be valid according to guidelines for analytical methods that use infrared (IR) spectroscopy with multivariate calibration. For the samples obtained from Brazilian healthcare units, the method provided results statistically similar to those obtained by HPLC–MS/MS. CONCLUSION: MIR-PLS was found to be suitable for the quality control of these drugs. It is fast, does not use solvents, and does not generate chemical waste. Furthermore, the proposed method may be transferred and developed for use in portable equipment, increasing the possibilities for assessing the quality of these drugs. BioMed Central 2016-02-24 /pmc/articles/PMC4765072/ /pubmed/26911371 http://dx.doi.org/10.1186/s12936-016-1157-1 Text en © Marson et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Methodology
Marson, Breno Maurício
de Oliveira Vilhena, Raquel
de Souza Madeira, Camilla Regina
Pontes, Flávia Lada Degaut
Piantavini, Mário Sérgio
Pontarolo, Roberto
Simultaneous quantification of artesunate and mefloquine in fixed-dose combination tablets by multivariate calibration with middle infrared spectroscopy and partial least squares regression
title Simultaneous quantification of artesunate and mefloquine in fixed-dose combination tablets by multivariate calibration with middle infrared spectroscopy and partial least squares regression
title_full Simultaneous quantification of artesunate and mefloquine in fixed-dose combination tablets by multivariate calibration with middle infrared spectroscopy and partial least squares regression
title_fullStr Simultaneous quantification of artesunate and mefloquine in fixed-dose combination tablets by multivariate calibration with middle infrared spectroscopy and partial least squares regression
title_full_unstemmed Simultaneous quantification of artesunate and mefloquine in fixed-dose combination tablets by multivariate calibration with middle infrared spectroscopy and partial least squares regression
title_short Simultaneous quantification of artesunate and mefloquine in fixed-dose combination tablets by multivariate calibration with middle infrared spectroscopy and partial least squares regression
title_sort simultaneous quantification of artesunate and mefloquine in fixed-dose combination tablets by multivariate calibration with middle infrared spectroscopy and partial least squares regression
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4765072/
https://www.ncbi.nlm.nih.gov/pubmed/26911371
http://dx.doi.org/10.1186/s12936-016-1157-1
work_keys_str_mv AT marsonbrenomauricio simultaneousquantificationofartesunateandmefloquineinfixeddosecombinationtabletsbymultivariatecalibrationwithmiddleinfraredspectroscopyandpartialleastsquaresregression
AT deoliveiravilhenaraquel simultaneousquantificationofartesunateandmefloquineinfixeddosecombinationtabletsbymultivariatecalibrationwithmiddleinfraredspectroscopyandpartialleastsquaresregression
AT desouzamadeiracamillaregina simultaneousquantificationofartesunateandmefloquineinfixeddosecombinationtabletsbymultivariatecalibrationwithmiddleinfraredspectroscopyandpartialleastsquaresregression
AT pontesflavialadadegaut simultaneousquantificationofartesunateandmefloquineinfixeddosecombinationtabletsbymultivariatecalibrationwithmiddleinfraredspectroscopyandpartialleastsquaresregression
AT piantavinimariosergio simultaneousquantificationofartesunateandmefloquineinfixeddosecombinationtabletsbymultivariatecalibrationwithmiddleinfraredspectroscopyandpartialleastsquaresregression
AT pontaroloroberto simultaneousquantificationofartesunateandmefloquineinfixeddosecombinationtabletsbymultivariatecalibrationwithmiddleinfraredspectroscopyandpartialleastsquaresregression