RESUMEN
Chip-based impact electrochemistry can provide means to measure nanoparticles in solution by sensing their stochastic collisions on appropriately-polarized microelectrodes. However, a planar microelectrode array design still restricts the particle detection to the chip surface and does not allow detection in 3D environments. In this work, we report a fast fabrication process for 3D microelectrode arrays by combining ink-jet printing with laser-patterning. To this end, we printed 3D pillars from polyacrylate ink as a scaffold. Then, the metal structures are manufactured via sputtering and laser-ablation. Finally, the chip is passivated with a parylene-C layer and the electrode tips are created via laser-ablation in a vertical alignment. As a proof of principle, we employ our 3D micro-ring-electrode arrays for single impact recordings from silver nanoparticles.
RESUMEN
Virtual reality environments offer great opportunities to study the performance of brain-computer interfaces (BCIs) in real-world contexts. As real-world stimuli are typically multimodal, their neuronal integration elicits complex response patterns. To investigate the effect of additional auditory cues on the processing of visual information, we used virtual reality to mimic safety-related events in an industrial environment while we concomitantly recorded electroencephalography (EEG) signals. We simulated a box traveling on a conveyor belt system where two types of stimuli - an exploding and a burning box - interrupt regular operation. The recordings from 16 subjects were divided into two subsets, a visual-only and an audio-visual experiment. In the visual-only experiment, the response patterns for both stimuli elicited a similar pattern - a visual evoked potential (VEP) followed by an event-related potential (ERP) over the occipital-parietal lobe. Moreover, we found the perceived severity of the event to be reflected in the signal amplitude. Interestingly, the additional auditory cues had a twofold effect on the previous findings: The P1 component was significantly suppressed in the case of the exploding box stimulus, whereas the N2c showed an enhancement for the burning box stimulus. This result highlights the impact of multisensory integration on the performance of realistic BCI applications. Indeed, we observed alterations in the offline classification accuracy for a detection task based on a mixed feature extraction (variance, power spectral density, and discrete wavelet transform) and a support vector machine classifier. In the case of the explosion, the accuracy slightly decreased by -1.64% p. in an audio-visual experiment compared to the visual-only. Contrarily, the classification accuracy for the burning box increased by 5.58% p. when additional auditory cues were present. Hence, we conclude, that especially in challenging detection tasks, it is favorable to consider the potential of multisensory integration when BCIs are supposed to operate under (multimodal) real-world conditions.
RESUMEN
Microelectrode arrays (MEAs) are widely used platforms in bioelectronics to study electrogenic cells. In recent years, the processing of conductive polymers for the fabrication of three-dimensional electrode arrays has gained increasing interest for the development of novel sensor designs. Here, additive manufacturing techniques are promising tools for the production of MEAs with three-dimensional electrodes. In this work, a facile additive manufacturing process for the fabrication of MEAs that feature needle-like electrode tips, so-called µ-needles, is presented. To this end, an aerosol-jet compatible PEDOT:PSS and multiwalled carbon nanotube composite ink with a conductivity of 323 ± 75 S m-1 is developed and used in a combined inkjet and aerosol-jet printing process to produce the µ-needle electrode features. The µ-needles are fabricated with a diameter of 10 ± 2 µm and a height of 33 ± 4 µm. They penetrate an inkjet-printed dielectric layer to a height of 12 ± 3 µm. After successful printing, the electrochemical properties of the devices are assessed via cyclic voltammetry and impedance spectroscopy. The µ-needles show a capacitance of 242 ± 70 nF at a scan rate of 5 mV s-1 and an impedance of 128 ± 22 kΩ at 1 kHz frequency. The stability of the µ-needle MEAs in aqueous electrolyte is demonstrated and the devices are used to record extracellular signals from cardiomyocyte-like HL-1 cells. This proof-of-principle experiment shows the µ-needle MEAs' cell-culture compatibility and functional integrity to investigate electrophysiological signals from living cells.
