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| Author | Ortiz-Aguayo, D.; De Wael, K.; del Valle, M. | ||||
| Title | Voltammetric sensing using an array of modified SPCE coupled with machine learning strategies for the improved identification of opioids in presence of cutting agents | Type | A1 Journal article | ||
Year  |
2021 | Publication | Journal Of Electroanalytical Chemistry | Abbreviated Journal | J Electroanal Chem |
| Volume | 902 | Issue | Pages | 115770 | |
| Keywords | A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Antwerp Electrochemical and Analytical Sciences Lab (A-Sense Lab) | ||||
| Abstract | This work reports the use of modified screen-printed carbon electrodes (SPCEs) for the identification of three drugs of abuse and two habitual cutting agents, caffeine and paracetamol, combining voltammetric sensing and chemometrics. In order to achieve this goal, codeine, heroin and morphine were subjected to Square Wave Voltammetry (SWV) at pH 7, in order to elucidate their electrochemical fingerprints. The optimized SPCEs electrode array, which have a differentiated response for the three oxidizable compounds, was derived from Carbon, Prussian blue, Cobalt (II) phthalocyanine, Copper (II) oxide, Polypyrrole and Palladium nanoparticles ink-modified carbon electrodes. Finally, Principal Component Analysis (PCA) coupled with Silhouette parameter assessment was used to select the most suitable combination of sensors for identification of drugs of abuse in presence of cutting agents. | ||||
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| Publisher | Place of Publication | Editor | |||
| Language | Wos | 000714415500006 | Publication Date | 2021-10-13 | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 1572-6657; 1873-2569 | ISBN | Additional Links | UA library record; WoS full record; WoS citing articles | |
| Impact Factor | 3.012 | Times cited | Open Access | OpenAccess | |
| Notes | Approved | Most recent IF: 3.012 | |||
| Call Number | UA @ admin @ c:irua:184018 | Serial | 8745 | ||
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