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Author |
Truta, F.M.; Cruz, A.G.; Dragan, A.-M.; Tertis, M.; Cowen, T.; Stefan, M.-G.; Topala, T.; Slosse, A.; Piletska, E.; Van Durme, F.; Kiss, B.; De Wael, K.; Piletsky, S.A.; Cristea, C. |
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Title |
Design of smart nanoparticles for the electrochemical detection of 3,4-methylenedioxymethamphetamine to allow in field screening by law enforcement officers |
Type |
A1 Journal article |
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Year  |
2023 |
Publication |
Drug testing and analysis |
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Pages |
1-14 |
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Keywords |
A1 Journal article; Pharmacology. Therapy; Antwerp Electrochemical and Analytical Sciences Lab (A-Sense Lab) |
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Abstract |
A portable and highly sensitive sensor was designed for the specific detection of 3,4-methyl-enedioxy-methamphetamine (MDMA), in a range of field-testing situations. The sensor can detect MDMA in street samples, even when other controlled substances drugs, or adulterants are present. In this work, we report for the first time a sensor using electroactive molecularly imprinted polymer nanoparticles computationally designed to recognize MDMA and then produced using solid phase synthesis. A composite comprising chitosan, reduced graphene oxide, and molecularly imprinted polymer nanoparticles synthesized for MDMA for the first time was immobilized on screen-printed carbon electrodes. The sensors displayed a satisfactory sensitivity (106.8 nA x mu M-1), limit of detection (1.6 nM; 0.31 ng/mL), and recoveries (92-99%). The accuracy of the results was confirmed through validation using Ultra-High Performance Liquid Chromatography coupled with tandem Mass Spectrometry (UPLC-MS/MS). This technology could be used in forensic analysis and make it possible to selectively detect MDMA in street samples. A highly sensitive and portable sensor has been developed to detect MDMA in street samples. It uses electroactive molecularly imprinted polymer nanoparticles computationally designed to recognize MDMA, which were immobilized on screen-printed carbon electrodes with chitosan and graphene. The sensor showed good sensitivity and satisfactory recoveries (92-99%), confirmed with UPLC-MS/MS validation. This technology has the potential to be used in forensic analysis.image |
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Wos |
001107703400001 |
Publication Date |
2023-11-24 |
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ISSN |
1942-7603; 1942-7611 |
ISBN |
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Additional Links |
UA library record; WoS full record |
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Impact Factor |
2.9 |
Times cited |
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Open Access |
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Notes |
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Approved |
Most recent IF: 2.9; 2023 IF: 3.469 |
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Call Number |
UA @ admin @ c:irua:202058 |
Serial |
9020 |
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