Web of Science: 0 cites, Scopus: 1 cites, Google Scholar: cites,
Resolution of opiate illicit drugs signals in the presence of some cutting agents with use of a voltammetric sensor array and machine learning strategies
Ortiz, Dionisia (Universitat Autònoma de Barcelona. Departament de Química)
Cetó Alsedà, Xavier (Universitat Autònoma de Barcelona. Departament de Química)
De Wael, Karolien (University of Antwerp. Department of Bioscience Engineering)
Valle Zafra, Manuel del (Universitat Autònoma de Barcelona. Departament de Química)

Data: 2021
Resum: In the present work, the resolution and quantification of mixtures of different opiates compounds in the presence of common cutting agents using an electronic tongue (ET) is evaluated. More specifically, ternary mixtures of heroin, morphine and codeine were resolved in the presence of caffeine and paracetamol. To this aim, an array of three carbon screen-printed electrodes were modified with different ink-like solutions of graphite, cobalt (II) phthalocyanine and palladium, and their responses towards the different drugs were characterized by means of square wave voltammetry (SWV). Developed sensors showed a good performance with good linearity at the µM level, LODs between 1. 8 and 5. 33 µM for the 3 actual drugs, and relative standard deviation (RSD) ca. 2% for over 50 consecutive measurements. Next, a quantitative model that allowed the identification and quantification of the individual substances from the overlapped voltammograms was built using partial least squares regression (PLS) as the modelling tool. With this approach, quantification of the different drugs was achieved at the μM level, with a total normalized root mean square error (NRMSE) of 0. 084 for the test subset.
Ajuts: Agencia Estatal de Investigación PID2019-107102RB-C21
European Commission 833787
Nota: Altres ajuts: Acord transformatiu CRUE-CSIC
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. Creative Commons
Llengua: Anglès
Document: Article ; recerca ; Versió publicada
Matèria: Electronic tongue ; Voltammetric sensors ; Opioids ; Partial-least squares regression
Publicat a: Sensors and actuators. B, Chemical, Vol. 357 (April 2022) , art. 131345, ISSN 0925-4005

DOI: 10.1016/j.snb.2021.131345


10 p, 3.5 MB

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 Registre creat el 2022-01-13, darrera modificació el 2022-07-11



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