Preconcentration and sensitive determination of the anti-inflammatory drug diclofenac on a paper-based electroanalytical platform

This work describes the development of a paper-based platform for highly sensitive detection of diclofenac. The quantification of this anti-inflammatory drug is of importance in clinical (e.g. quality and therapeutic control) and environmental (e.g. emerging contaminant determination) areas. The easy-to-handle platform here described consists of a carbon-ink paper-based working electrode and two metallic wires, provided by a gold-plated standard connector, as reference and counter electrodes. The porous paper matrix enables the preconcentration of the sample, decoupling sample and detection solutions. Thus, relatively large sample volumes can be used, which significantly improves the sensitivity of the method. A wide dynamic range of four orders of magnitude, between 0.10 and 100 μM, was obtained for diclofenac determination. Due to the predominance of adsorption at the lowest concentrations, there were two linear concentration ranges: one comprised between 0.10 and 5.0 μM (with a slope of 0.85 μA μM-1) and the other between 5.0 and 100 μM (with a slope of 0.48 μA μM-1). A limit of detection of 70 nM was achieved with this simple device that provided accurate results with an RSD of ca. 5%. The platform was applied for diclofenac quantification in spiked tap water samples. The versatility of this design enabled the fabrication of a multiplexed platform containing eight electrochemical cells that work independently. The low cost, small size and simplicity of the device allow on-site analysis, which is very useful for environmental monitoring.The authors would like to thank the EU and FCT/UEFISCDI/FORMAS for funding, in the frame of the collaborative internationalconsortium REWATERfinanced under the ERA-NET CofundWaterWorks 2015 Call. This ERA-NET is an integral part of the 2016Joint Activities developed by the Water Challenges for a ChangingWorld Joint Programme Initiative (Water JPI). This work was alsosupported by the EU (FEDER funds through COMPETE) and FCT(project FOODnanoHEALTH, Portugal2020, Norte-01-0145-FEDER-000011 and project UID/QUI/50006/2013) and by the SpanishMinistry of Economy and Competitiveness (MINECO, projectCTQ2014-58826-R). Estefanía Costa Rama thanks the Governmentof Principado de Asturias and Marie Curie-Cofund Actions for thepost-doctoral grant“Clarín-Cofund”ACA17-20.info:eu-repo/semantics/publishedVersio