Journal article
Label-Free Quantification of Anticancer Drug Imatinib in Human Plasma with Surface Enhanced Raman Spectroscopy
University of Trieste1
IRCCS Centro di Riferimento Oncologico - Aviano PN2
Department of Applied Mathematics and Computer Science, Technical University of Denmark3
Department of Micro- and Nanotechnology, Technical University of Denmark4
Nanoprobes, Department of Micro- and Nanotechnology, Technical University of Denmark5
Center for Intelligent Drug Delivery and Sensing Using Microcontainers and Nanomechanics, Department of Health Technology, Technical University of Denmark6
Therapeutic drug monitoring (TDM) for anticancer drug imatinib has been suggested as the best way to improve the treatment response and minimize the risk of adverse reactions in chronic myelogenous leukemia (CML) and gastrointestinal stromal tumor (GIST) patients. TDM of oncology treatments with standard analytical methods, such as liquid chromatography-tandem mass spectrometry (LC-MS/MS) is, however, complex and demanding.
This paper proposes a new method for quantitation of imatinib in human plasma, based on surface enhanced raman spectroscopy (SERS) and multivariate calibration using partial least-squares regression (PLSR). The best PLSR model was obtained with three latent variables in the range from 123 to 5000 ng/mL of imatinib, providing a standard error of prediction (SEP) of 510 ng/mL.
The method was validated in accordance with international guidelines, through the estimate of figures of merit, such as precision, accuracy, systematic error, analytical sensitivity, limits of detection, and quantitation. Moreover, the feasibility and clinical utility of this approach have also been verified using real plasma samples taken from deidentified patients.
The results were in good agreement with a clinically validated LC-MS/MS method. The new SERS method presented in this preliminary work showed simplicity, short analysis time, good sensitivity, and could be considered a promising platform for TDM of imatinib treatment in a point-of-care setting.
Language: | English |
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Publisher: | American Chemical Society |
Year: | 2018 |
Pages: | 12670-12677 |
ISSN: | 15204782 , 00032700 and 15206882 |
Types: | Journal article |
DOI: | 10.1021/acs.analchem.8b02901 |
ORCIDs: | Rindzevicius, Tomas and 0000-0003-3057-7559 |