Programmable millifluidic platform integrating automatic electromembrane extraction clean-up and in-line electrochemical detection: A proof of concept

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dc.contributor.author Sahragard, Ali
dc.contributor.author Dvorak, Milos
dc.contributor.author Carrasco-Correa, Enrique J.
dc.contributor.author Varanusupakul, Pakorn
dc.contributor.author Kuban, Pavel
dc.contributor.author Miró, Manuel
dc.date.accessioned 2023-07-06T12:21:18Z
dc.date.available 2023-07-06T12:21:18Z
dc.identifier.uri http://hdl.handle.net/11201/161134
dc.description.abstract [eng] A fully automatic millifluidic sensing platform coupling in-line nonsupported microelectromembrane extraction (μ-EME) with electrochemical detection (ECD) is herein proposed for the first time. Exploiting the features of the second generation of flow analysis, termed sequential injection (SI), the smart integration of SI and μ-EME-ECD enables (i) the repeatable formation of microvolumes of phases for the extraction step in a membrane-less (nonsupported) arrangement, (ii) diverting the acceptor plug to the ECD sensing device, (iii) in-line pH adjustment before the detection step, and (iv) washing of the platform for efficient removal of remnants of wetting film solvent, all entirely unsupervised. The real-life applicability of the miniaturized sensing system is studied for in-line sample cleanup and ECD of diclofenac as a model analyte after μ-EME of urine as a complex biological sample. A comprehensive study of the merits and the limitations of μ-EME solvents on ECD is presented. Under the optimal experimental conditions using 14 μL of unprocessed urine as the donor, 14 μL of 1-nonanol as the organic phase, and 14 μL of 25 mM NaOH as the acceptor in a 2.4 mm ID PTFE tubing, an extraction voltage of 250 V, and an extraction time of 10 min, an absolute (mass) extraction recovery of 48% of diclofenac in urine is obtained. The proposed flow-through system is proven to efficiently remove the interfering effect of predominantly occurring organic species in human urine on ECD with RSD% less than 8.6%.
dc.format application/pdf
dc.relation.isformatof https://doi.org/10.1021/acssensors.2c01648
dc.relation.ispartof Acs Sensors, 2022, vol. 7, num. 10, p. 3161-3168
dc.rights , 2022
dc.subject.classification 54 - Química
dc.subject.other 54 - Chemistry. Crystallography. Mineralogy
dc.title Programmable millifluidic platform integrating automatic electromembrane extraction clean-up and in-line electrochemical detection: A proof of concept
dc.type info:eu-repo/semantics/article
dc.date.updated 2023-07-06T12:21:19Z
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.identifier.doi https://doi.org/10.1021/acssensors.2c01648


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