Issue 15, 2020

3D-printed microfluidic device with in-line amperometric detection that also enables multi-modal detection

Abstract

Microfluidic amperometric detectors often include a reservoir to house auxiliary and reference electrodes, making subsequent detection downstream challenging. Here, we present an in-line microfluidic device with amperometric detection that incorporates a three-electrode set-up, made possible by threading electrodes into a 3D-printed flow cell. The electrodes consist of a commercially available threaded reference electrode and electrodes fabricated in commercially available fittings. This approach centers the working electrode in the fluidic channel enabling the use of a pillar working electrode that is shown to increase sensitivity, as compared to a traditional thin-layer electrode. In addition, the working and auxiliary electrodes can be directly opposed, with this configuration leading to a more uniform potential being applied to the working electrode as well as fewer issues with any iR drop. To demonstrate the ability to incorporate a separate mode of detection downstream from the electrochemical flow cell, the device is modified to include a mixing T for introduction of reagents for chemiluminescent detection of ATP (via the luciferin–luciferase reaction), leading to a single 3D-printed device that can be used to detect norepinephrine and ATP, nearly simultaneously, by amperometry and chemiluminescence, respectively. This approach opens numerous possibilities, where microfluidics with in-line amperometry can be used in continuous circulation studies or in conjunction with other downstream detection events to study complex systems.

Graphical abstract: 3D-printed microfluidic device with in-line amperometric detection that also enables multi-modal detection

Supplementary files

Article information

Article type
Technical Note
Submitted
21 Feb 2020
Accepted
16 Mar 2020
First published
27 Mar 2020

Anal. Methods, 2020,12, 2046-2051

3D-printed microfluidic device with in-line amperometric detection that also enables multi-modal detection

E. A. Hayter, A. D. Castiaux and R. S. Martin, Anal. Methods, 2020, 12, 2046 DOI: 10.1039/D0AY00368A

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