Published on 13 January 2025
This research summary highlights the work of Alexander Ecke, Jérémy Bell, and Rudolf J. Schneider, whose collaborative efforts have contributed to the development of a three-dimensional microfluidic flow cell for improved electrochemical substrate detection in HRP/TMB-based immunoassays. Their work, published in Sensors & Diagnostics (2023), provides a valuable advancement in the sensitivity and integration of immunoassay technologies, aiding in the refinement of diagnostic tools (A three-dimensional microfluidic flow cell and system integration for improved electrochemical substrate detection in HRP/TMB-based immunoassays).
Immunoassays are extensively used across various diagnostic fields, as well as in environmental and food analysis, relying on the capture of analytes by highly selective antibodies. The increasing availability of these selective antibodies on the market enables the detection of a wide range of analytes. A crucial step toward developing immunosensors for mobile, autonomous, and continuous monitoring is the effective integration of the assay into a suitable platform. The key challenges lie in achieving reliable, robust, and seamless integration. To address this, a microfluidic system was selected as the core platform. This approach minimizes manual steps and reagent consumption while enabling the development of compact devices that precisely control physicochemical reactions.
The aim is to construct a complete flow system based on a microfluidic flow cell for the automated detection of TMB (3,3′,5,5′-Tetramethylbenzidine), one of the most commonly used immunoassay substrates, using chronoamperometry (CA). This system will facilitate automated, continuous sensing and promote the transition from laboratory-based immunoassays to immunosensors.
In this study, diclofenac detection is used as an example, it involves three main stages:
The team developed a microfluidic system incorporating pressure-driven flow control, automated valves, and optimized microfluidic chip designs with screen-printed electrodes (SPE) and a mini-potentiostat to perform chronoamperometry, thereby facilitating the transition from laboratory-based immunoassays to immunosensors.
Chronoamperometry is an electrochemical technique where a constant potential is applied to an electrochemical cell, and the resulting current is measured over time. This method is useful for studying red-ox reactions and determining the concentration of analytes in a solution. It is often used in sensor development and the study of reaction kinetics, where the current response provides information about the electron transfer process and the diffusion of species to the electrode surface. It offers high sensitivity at lower cost compared to optical detection, enabling miniaturization.
The substrate solution(s) from immunoassays were injected into the microfluidic device (Figure 1) using a pressure-driven flow control system (OB1 MK3+, one channel, 0–2000 mbar, Elveflow) to achieve optimal flow control and steady signals throughout the measurement process. The system utilized sealed reservoirs containing the solutions, which were pressurized by compressed air to drive the fluids through the valves, microfluidic chip, and tubing network.
For electrochemical measurements, a USB mini-potentiostat (Sensit Smart, PalmSens), connected to a screen-printed electrode (SPE 250AT, Metrohm DropSens) and inserted into a PDMS (polydimethylsiloxane) flow cell, was used. The chip and potentiostat were enclosed in an externally grounded Faraday cage to shield the system from electrostatic and electromagnetic interference.
Figure 1: Schematic representation of the microfluidic setup for electrochemical measurements on an SPE. Legend: A – control unit with ESI software, B – pressure source, C – OB1 flow controller, D – reservoirs, E – 12 : 1-directional valve (Mux Distribution Valve), F – 3-directional bypass valve, G – microfluidic resistor, H – MFS flow rate sensor, I – bubble trap, J – Faraday cage, K – Potentiostat, L – microfluidic chip with SPE, M – waste reservoir. Green lines mark compressed air connections, blue lines fluidic hoses, and red arrows data connections.
For the fabrication of the PDMS flow cell (Figure 2), the sacrificial inner structure was 3D printed using fused deposition modeling (Ultimaker 2, ABS material). It was attached to a silicon wafer (Siegert Wafer) and encapsulated in PDMS (Sylgard 184, Dow Corning). The ABS structure was dissolved using acetone to create the final microfluidic flow cell, which was then bonded to a PDMS SPE slot element via plasma activation.
In this configuration, TMB, which is oxidized by horseradish peroxidase (HRP) during an immunoassay, can be quantified by reducing it back to its initial chemical state using chronoamperometry. The optimal background current was observed at 330 mV vs. Ag/AgCl, which allowed for a strong net signal. This signal, defined as the difference between the faradaic and background currents, was sufficient to ensure the sensitive quantification of TMB.
Conventional macroscopic flow cells tend to require large sample volumes and high flow rates, which consume significant amounts of reagents. In contrast, a microfluidic flow cell was integrated and drastically reduced reagent consumption. Typical sample volumes in plate-based immunoassays are around 100 – 300 μL, and this miniaturized flow cell design ensures that similar sample volumes are used efficiently. Fast flow rates allow for high signal intensities within a short measurement time. [4]
To meet these demands, a 3D chip architecture was designed (Figure 2). This miniaturized flow cell features a screen-printed electrode (SPE) with a central inlet channel for sample injection and four outlet channels that merge into one. The vertical injection design ensures efficient flow, especially for high flow rates, and helps remove bubbles that could interfere with the detection process. The system showed exceptional stability at flow rates between 500 – 600 μL∙min−1, consuming only 250 μL per sample with a rapid detection time of 30 seconds.
The integrated 3D flow cell was tested using a previously optimized magnetic bead-based immunoassay (MBBA) for indirect diclofenac (DCF) detection, constructed with the selective anti-DCF antibody F01G21.1. Briefly, A solution containing Diclofenac, Diclofenac-magnetic particles, and HRP-labeled antibodies is prepared. The Diclofenac competes with the magnetic particles for antibody binding. After magnetic separation, the number of antibodies bound to the particles is inversely proportional to the Diclofenac concentration in the sample (i.e., more Diclofenac results in fewer antibodies bound, as shown in Figure 4.a). The HRP protein converts the TMB substrate into its oxidized form, a common electrochemical marker, with signal amplification achieved through reoxidation of HRP by H2O2. Finally, the oxidized TMB is acidified, forming a yellow species with a distinct electrochemical response.
As expected, increasing the flow rate from 100 – 600 μL∙min−1 led to an increase in signal intensity (Figure 3.a). However, excessively high flow rates caused bubble formation, leading to a decreased signal-to-noise ratio (SNR). An optimal flow rate of 500 μL∙min−1 was found, providing both high signal intensity and reproducibility (Figure 3.b).
Reproducibility of the system was assessed by running calibration tests with substrate solutions. Three consecutive measurements with eight samples of TMB solutions showed reproducible signal intensities. Calibration curves of the integrated system (electrochemical detection) were compared to the microplate assay (optical detection), showing similar IC50 values of 6.2 and 7.1 μg∙L−1, respectively (Figure 4.a). Additionally, the integrated microfluidic immunosensor displayed a much higher SNR of 60, compared to 19 for optical detection, offering faster detection times and higher sensitivity than conventional methods (Figure 4.b).
A fully integrated microfluidic system was developed for the chronoamperometric detection of TMB, the most widely used substrate in enzyme immunoassays. The system’s fluid handling and electrochemical readout were efficiently designed using Elveflow equipment, ensuring precise control. To enhance sensitivity and minimize detection time, a 3D-printed microfluidic chip was evaluated, achieving reliable and consistent signals. This innovative setup reduced detection times to just 30 seconds per sample while delivering a high sensitivity with a signal-to-noise ratio (SNR) of 60. The system offers a promising alternative for high-throughput sample analysis and marks a significant step toward transitioning from traditional immunoassays to autonomous immunosensors.
Alexander Ecke: Former PhD student and scientific co-worker in the Environmental Analysis division of BAM. He studied chemistry, received his PhD from the Humboldt-Universität zu Berlin in 2023, and is now working in the field of nuclear-waste repository safety at the Bundesgesellschaft für Endlagerung mbH (BGE).
Jérémy Bell: Researcher in the Chemical and Optical Sensing Division of BAM since 2013. He received his PhD degree from the ENS Paris-Saclay, France in 2012, specializing on photophysical and chemical systems applied to sensors. His research is focused on the development of embedded and modular optical, electrochemical, and microfluidic sensors for the detection of various substances in food or the environment.
Rudolf J. Schneider: Analytical Chemist; Head of Division Environmental Analysis of BAM Federal Institute for Materials Research and Detection. Since his PhD in 1993 with the Technical University of Munich he is dedicated to developing immunoanalytical methods for small molecules, including the development of antibodies.
Full publication: A three-dimensional microfluidic flow cell and system integration for improved electrochemical substrate detection in HRP/TMB-based immunoassays, Sensors & Diagnostics 2023, 2, 887–892, DOI: 10.1039/D3SD00095H
Written and reviewed by Rudolf J. Schneider, Jérémy Bell and Louise Fournier, PhD in Chemistry and Biology Interface. For more content about microfluidics, you can have a look here.
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