In situ Analytical Quality Control of chemotherapeutic solutions in infusion bags by Raman spectroscopy.

Analytical quality control Chemotherapeutics Confocal Raman micro-spectroscopy Non-invasive analysis

Journal

Talanta
ISSN: 1873-3573
Titre abrégé: Talanta
Pays: Netherlands
ID NLM: 2984816R

Informations de publication

Date de publication:
01 Jun 2021
Historique:
received: 09 10 2020
revised: 17 01 2021
accepted: 18 01 2021
entrez: 28 3 2021
pubmed: 29 3 2021
medline: 15 5 2021
Statut: ppublish

Résumé

Analytical Quality Control (AQC) in centralised preparation units of oncology centers is a common procedure relying on the identification and quantification of the prepared chemotherapeutic solutions for safe intravenous administration to patients. Although the use of Raman spectroscopy for AQC has gained much interest, in most applications it remains coupled to a flow injection analyser (FIA) requiring withdrawal of the solution for analysis. In addition to current needs for more rapid and cost-effective analysis, the risk of exposure of clinical staff to the toxic molecules during daily handling is a serious concern to address. Raman spectroscopic analysis, for instance by Confocal Raman Microscopy (CRM), could enable direct analysis (non-invasive) for AQC directly in infusion bags. In this study, 3 anticancer drugs, methotrexate (MTX), 5-fluorouracil (5-FU) and gemcitabine (GEM) have been selected to highlight the potential of CRM for withdrawal free analysis. Solutions corresponding to the clinical range of each drug were prepared in 5% glucose and data was collected from infusion bags placed under the Raman microscope. Firstly, 100% discrimination has been obtained by Partial Least Squares Discriminant Analysis (PLS-DA) confirming that the identification of drugs can be performed. Secondly, using Partial Least Squares Regression (PLSR), quantitative analysis was performed with mean % error of predicted concentrations of respectively 3.31%, 5.54% and 8.60% for MTX, 5-FU and GEM. These results are in accordance with the 15% acceptance criteria used for the current clinical standard technique, FIA, and the Limits of Detection for all drugs were determined to be substantially lower than the administered range, thus highlighting the potential of confocal Raman spectroscopy for direct analysis of chemotherapeutic solutions.

Identifiants

pubmed: 33773705
pii: S0039-9140(21)00058-8
doi: 10.1016/j.talanta.2021.122137
pii:
doi:

Substances chimiques

Antineoplastic Agents 0
Fluorouracil U3P01618RT

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

122137

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

Alaa A Makki (AA)

Université de Tours, EA 6295 Nanomédicaments et Nanosondes, 31 Avenue Monge, 37200, Tours, France; University of Gezira, Faculty of Pharmacy, Department of Pharmaceutical Chemistry, P.O. Box 20, 21111, Wad Madani, Sudan.

Suha Elderderi (S)

Université de Tours, EA 6295 Nanomédicaments et Nanosondes, 31 Avenue Monge, 37200, Tours, France; University of Gezira, Faculty of Pharmacy, Department of Pharmaceutical Chemistry, P.O. Box 20, 21111, Wad Madani, Sudan.

Victor Massot (V)

CHU de Tours, Unité de Biopharmacie Clinique Oncologique, Pharmacie, France.

Renaud Respaud (R)

Université de Tours, UMR 1100, CHRU de Tours, Service de Pharmacie, F-37032, Tours, France.

Hugh J Byrne (HJ)

FOCAS Research Institute, TU Dublin, City Campus, Kevin Street, Dublin 8, Ireland.

Clovis Tauber (C)

Université de Tours, INSERM UMR 1253 IBrain, 37000, Tours, France.

Dominique Bertrand (D)

Data_Frame, 25 Rue Stendhal, 44300, Nantes, France.

Elhadi Mohammed (E)

University of Gezira, Faculty of Pharmacy, Medicinal and Aromatic Plants Research Center (MAPRC), P.O. Box 20, 21111, Wad Madani, Sudan.

Igor Chourpa (I)

Université de Tours, EA 6295 Nanomédicaments et Nanosondes, 31 Avenue Monge, 37200, Tours, France.

Franck Bonnier (F)

Université de Tours, EA 6295 Nanomédicaments et Nanosondes, 31 Avenue Monge, 37200, Tours, France. Electronic address: franck.bonnier@univ-tours.fr.

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Classifications MeSH