Cargando…

Chemometric Analysis of UV-Visible Spectral Fingerprints for the Discrimination and Quantification of Clinical Anthracycline Drug Preparation Used in Oncology

In clinical treatment, the analytical quality assessment of the delivery of chemotherapeutic preparations is required to guarantee the patient's safety regarding the dose and most importantly the appropriate anticancer drug. On its own, the development of rapid analytical methods allowing both...

Descripción completa

Detalles Bibliográficos
Autores principales: El Orche, Aimen, Adade, Casimir Adade, Mefetah, Hafid, Cheikh, Amine, Karrouchi, Khalid, El Karbane, Miloud, Bouatia, Mustapha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8121585/
https://www.ncbi.nlm.nih.gov/pubmed/34041297
http://dx.doi.org/10.1155/2021/5580102
_version_ 1783692387483123712
author El Orche, Aimen
Adade, Casimir Adade
Mefetah, Hafid
Cheikh, Amine
Karrouchi, Khalid
El Karbane, Miloud
Bouatia, Mustapha
author_facet El Orche, Aimen
Adade, Casimir Adade
Mefetah, Hafid
Cheikh, Amine
Karrouchi, Khalid
El Karbane, Miloud
Bouatia, Mustapha
author_sort El Orche, Aimen
collection PubMed
description In clinical treatment, the analytical quality assessment of the delivery of chemotherapeutic preparations is required to guarantee the patient's safety regarding the dose and most importantly the appropriate anticancer drug. On its own, the development of rapid analytical methods allowing both qualitative and quantitative control of the formulation of prepared solutions could significantly enhance the hospital's workflow, reducing costs, and potentially providing optimal patient care. UV-visible spectroscopy is a nondestructive, fast, and economical technique for molecular characterization of samples. A discrimination and quantification study of three chemotherapeutic drugs doxorubicin, daunorubicin, and epirubicin was conducted, using clinically relevant concentration ranges prepared in 0.9% NaCl solutions. The application of the partial least square discriminant analysis PLS-DA method on the UV-visible spectral data shows a perfect discrimination of the three drugs with a sensitivity and specificity of 100%. The use of partial least square regression PLS shows high quantification performance of these molecules in solution represented by the low value of root mean square error of calibration (RMSEC) and root mean square error of cross validation (RMSCECV) on the one hand and the high value of R-square on the other hand. This study demonstrated the viability of UV-visible fingerprinting (routine approach) coupled with chemometric tools for the classification and quantification of chemotherapeutic drugs during clinical preparation.
format Online
Article
Text
id pubmed-8121585
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-81215852021-05-25 Chemometric Analysis of UV-Visible Spectral Fingerprints for the Discrimination and Quantification of Clinical Anthracycline Drug Preparation Used in Oncology El Orche, Aimen Adade, Casimir Adade Mefetah, Hafid Cheikh, Amine Karrouchi, Khalid El Karbane, Miloud Bouatia, Mustapha Biomed Res Int Research Article In clinical treatment, the analytical quality assessment of the delivery of chemotherapeutic preparations is required to guarantee the patient's safety regarding the dose and most importantly the appropriate anticancer drug. On its own, the development of rapid analytical methods allowing both qualitative and quantitative control of the formulation of prepared solutions could significantly enhance the hospital's workflow, reducing costs, and potentially providing optimal patient care. UV-visible spectroscopy is a nondestructive, fast, and economical technique for molecular characterization of samples. A discrimination and quantification study of three chemotherapeutic drugs doxorubicin, daunorubicin, and epirubicin was conducted, using clinically relevant concentration ranges prepared in 0.9% NaCl solutions. The application of the partial least square discriminant analysis PLS-DA method on the UV-visible spectral data shows a perfect discrimination of the three drugs with a sensitivity and specificity of 100%. The use of partial least square regression PLS shows high quantification performance of these molecules in solution represented by the low value of root mean square error of calibration (RMSEC) and root mean square error of cross validation (RMSCECV) on the one hand and the high value of R-square on the other hand. This study demonstrated the viability of UV-visible fingerprinting (routine approach) coupled with chemometric tools for the classification and quantification of chemotherapeutic drugs during clinical preparation. Hindawi 2021-05-06 /pmc/articles/PMC8121585/ /pubmed/34041297 http://dx.doi.org/10.1155/2021/5580102 Text en Copyright © 2021 Aimen El Orche et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
El Orche, Aimen
Adade, Casimir Adade
Mefetah, Hafid
Cheikh, Amine
Karrouchi, Khalid
El Karbane, Miloud
Bouatia, Mustapha
Chemometric Analysis of UV-Visible Spectral Fingerprints for the Discrimination and Quantification of Clinical Anthracycline Drug Preparation Used in Oncology
title Chemometric Analysis of UV-Visible Spectral Fingerprints for the Discrimination and Quantification of Clinical Anthracycline Drug Preparation Used in Oncology
title_full Chemometric Analysis of UV-Visible Spectral Fingerprints for the Discrimination and Quantification of Clinical Anthracycline Drug Preparation Used in Oncology
title_fullStr Chemometric Analysis of UV-Visible Spectral Fingerprints for the Discrimination and Quantification of Clinical Anthracycline Drug Preparation Used in Oncology
title_full_unstemmed Chemometric Analysis of UV-Visible Spectral Fingerprints for the Discrimination and Quantification of Clinical Anthracycline Drug Preparation Used in Oncology
title_short Chemometric Analysis of UV-Visible Spectral Fingerprints for the Discrimination and Quantification of Clinical Anthracycline Drug Preparation Used in Oncology
title_sort chemometric analysis of uv-visible spectral fingerprints for the discrimination and quantification of clinical anthracycline drug preparation used in oncology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8121585/
https://www.ncbi.nlm.nih.gov/pubmed/34041297
http://dx.doi.org/10.1155/2021/5580102
work_keys_str_mv AT elorcheaimen chemometricanalysisofuvvisiblespectralfingerprintsforthediscriminationandquantificationofclinicalanthracyclinedrugpreparationusedinoncology
AT adadecasimiradade chemometricanalysisofuvvisiblespectralfingerprintsforthediscriminationandquantificationofclinicalanthracyclinedrugpreparationusedinoncology
AT mefetahhafid chemometricanalysisofuvvisiblespectralfingerprintsforthediscriminationandquantificationofclinicalanthracyclinedrugpreparationusedinoncology
AT cheikhamine chemometricanalysisofuvvisiblespectralfingerprintsforthediscriminationandquantificationofclinicalanthracyclinedrugpreparationusedinoncology
AT karrouchikhalid chemometricanalysisofuvvisiblespectralfingerprintsforthediscriminationandquantificationofclinicalanthracyclinedrugpreparationusedinoncology
AT elkarbanemiloud chemometricanalysisofuvvisiblespectralfingerprintsforthediscriminationandquantificationofclinicalanthracyclinedrugpreparationusedinoncology
AT bouatiamustapha chemometricanalysisofuvvisiblespectralfingerprintsforthediscriminationandquantificationofclinicalanthracyclinedrugpreparationusedinoncology