Open Access Article
Du Won Jeong‡
a,
Gook Hwa Kim‡b,
Na Yeon Kim
c,
Zonghoon Lee
c,
Sang Don Jung*b and
Jeong-O. Lee
*a
aAdvanced Materials Division, Korea Research Institute of Chemical Technology (KRICT), 141 Gajeong-ro, Yuseong-gu, Daejeon 34114, Korea. E-mail: jolee@krict.re.kr
bSynapse Device Creative Research Section, Electronics and Telecommunications Research Institute (ETRI), 218 Gajeong-ro, Yuseong-gu, Daejeon 34129, Korea. E-mail: jungpol@etri.re.kr
cSchool of Materials Science and Engineering, Ulsan National Institute of Science and Technology (UNIST), 50 UNIST-gil, Ulsan 44919, Korea
First published on 13th January 2017
Neural interfaces that do not damage cells or tissues are key to connecting brain functions to neural prosthetics. Here, we designed a transparent graphene/vertically aligned carbon nanotube (VACNT) electrode capable of extracellularly recording spontaneous action potentials in Sprague–Dawley rat primary cortex neurons. Graphene provided the dual function of contacting the VACNTs and visually monitoring the cell viability. The hybrid electrodes exhibited remarkably high peak-to-peak signal amplitudes (1600 μV) and low noise levels, presumably due to tight junction formation between the cells and the deformed CNTs. Spike simulation and high-resolution transmission electron microscopy (HRTEM) imaging confirmed the excellent interfacial characteristics of the cells and the transparent hybrid electrodes.
Among these engineered electrodes, electrodes with modified with non-planar nanostructures; pillars,8 gold spines,9 nanowires or nanotubes exhibited exceptionally good performance for extracellular recording electrode, due to their high surface areas and vertical geometry, which is crucial for electrode–cell coupling.19–22 In that regard, vertically aligned carbon nanotubes (VACNTs) show promise as neural interfacing electrode, since carbon nanotubes show excellent electrical conductivity, chemical and mechanical stability, and protruded geometry that could be tightly wrapped around by cells to decrease the membrane–electrode distance and to increase seal resistance. The excellent performances of CNTs as neural electrode materials have been demonstrated in recordings of neural activity in vivo and in vitro.7,16,17 We previously showed that hybrid VACNT–carbon materials derived from a pyrolyzed photoresist displayed better performances compared to smooth electrodes.23
On the other hand, graphene, a perfect two-dimensional optically transparent crystal of carbon atoms, has emerged as a promising neural electrode material. Graphene is an exceptional material for neural interfacing, because graphene shows excellent electrical conductivity and low noise characteristics, mechanically strong, and one-atom thick graphene may provide flexibility to the device, as well as optical transparency. Simultaneous optical imaging with electrophysiology offers spatiotemporal resolution, which is not attainable with either one of the two techniques. Although transparent neural electrodes have developed based on indium tin oxide previously, yet it is expensive and brittle compared to graphene, not suitable for flexible devices.24,25 Kuzum et al. developed transparent and flexible graphene electrodes for simultaneous electrophysiology and neuroimaging,25 and Park and colleagues developed graphene-based electrodes for neural imaging and optogenetic applications.24 Here, we assign transparent graphene electrodes with a third functionality of excellent cell–electrode interfaces by hybridizing VACNTs. Hybrid graphene–VACNT electrodes may offer flexibility, transparency for optical monitoring and stimulation, and high SNR originating from excellent electrical (electrochemical) characteristics of graphene–VACNT hybrid and tight cell–VACNT junction interfaces. A seamless three-dimensional CNT–graphene hybrid structure was previously reported by Zhu et al.,26 who suggested the use of this structure in energy storage and electronic device applications due to the supercapacitive properties of CNTs. We, ourselves, collected extracellular signal recordings from Cath.-a-differentiated (CAD) cells using hybrid structures comprising VACNTs and a graphene intermediate layer.27 In the present work, transparent graphene electrodes were hybridized with VACNTs to permit optical monitoring of cell viability and to measure spontaneous action potentials from Sprague–Dawley (SD) fetal rat cortex neurons. Cell–electrode coupling was significantly enhanced by further modifying the VACNT surfaces with UV-ozone treatment.
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1) for 10 min to remove surface residues. The Cu foil was heated to 1000 °C under 100 sccm H2 over 20 min under high vacuum conditions (<1 × 10−5 Torr). The precursor CH4 (30 sccm) gas carried by H2 (30 sccm) was introduced over 40 min, and the substrate was cooled to room temperature.
The graphene was directly transferred onto a substrate by coating the as-grown graphene mounted on a Cu foil with a PMMA layer (950 K, 4% volume dissolved in chlorobenzene) at 3000 rpm for 30 s, followed by baking at 60 °C for 5 min to achieve solvent drying. The Cu foil with the PMMA-coated graphene was etched away using a copper etchant solution and then thoroughly washed with DI water.
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1 ratio) plasma etching over 20 min. The bottom electrode (graphene) was insulated from the cell culture media by coating the entire sample with a 500 nm thick SiO2 layer via plasma-enhanced chemical vapor deposition (PECVD). The catalyst layer (Al/Fe = 8/1.4 nm) was subsequently deposited thermal and e-beam evaporation methods after opening a window using photolithography and wet etching processes. Finally, the VACNTs were grown via low-pressure PECVD at 650 °C over 12 min (detailed in Fig. S1†). The primary neuronal cells were cultured by fabricating a culture chamber using acrylic plastic bonded to the graphene–VACNT device using biocompatible poly-dimethylsiloxane (PDMS).
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1000 in blocking solution; Invitrogen, Carlsbad, CA) was added and incubated at room temperature for 5 min, followed by washing three times with DPBS containing 0.1% Tween 20. Fluorescence image were captured on a Nikon fluorescence microscope (DS-Ri1 CCD camera).
The as-grown VACNTs exhibited superhydrophobicity, with a water contact angle of 141°. The VACNT surfaces required functionalization to obtain an effective electrochemical reaction in aqueous solutions. As shown in previous studies,27 a 20 min UV-ozone treatment period induced the formation of carbon–oxygen bonds22 on the VACNT surfaces. Although UV-ozone treatment did not introduce structural deformations into the VACNTs, as shown in Fig. S3(b),† immersing the chip in an aqueous solution (deionized (DI) water for 10 min) produced deformations in the VACNT electrodes. The electrodes shrank, and the otherwise smooth top surfaces of the VACNT electrodes became rough after immersing the chip in an aqueous solution, as shown in Fig. S3(c).† These effects were attributed to the capillary forces generated by the drying process.19,28 The electrodes that underwent such processes (UV-ozone treatment + aqueous solution) maintained their properties up to 40 days in an aqueous solution, as confirmed in previous work,27 indicating that the modified electrodes were electrochemically stable and mechanically robust. Subsequent O2 plasma treatment for 5 min, which was necessary for the PDL coating process, did not produce further deformations, as shown in Fig. S3(d).† Overall, these results indicated that the process used in this work was optimized to enhance the interfacial stability between the electrodes and the cells during attachment.29–31
The electrochemical properties of the TGVH electrodes were characterized in an aqueous solution. Fig. 2(a) shows cyclic voltammogram measured at applied voltages that ranged from −0.4 to 0.6 V, with a scan rate of 20 mV s−1 in PBS (0.01 M phosphate buffer, 0.0027 M potassium chloride, and 0.137 M sodium chloride, pH 7.4) containing 10 mM K3[Fe(CN)6]. Here, the TGVH electrode acted as a working electrode, and Ag/AgCl and a Pt wire were used as the reference and counter electrode, respectively. Typical microelectrode behavior with a sigmoidal voltammogram were observed because convergent diffusion toward the edges of the TGVH electrode became significant,32–34 indicating an improvement in the mass transport rate.
Fig. 2(c) presents representative electrochemical impedance spectra (EIS) evaluated at 166 different frequencies ranging from 100 to 200
000 Hz in PBS, where the two-electrode measurements collected used the TGVH electrode as a working electrode and the internal ground Pt electrode acted reference and counter electrodes. The equivalent circuit obtained from Randle's model35 (Fig. 2(b)) was used to fit the impedance spectra in Fig. 2(c), where Rs is the equivalent series resistance, CPEdl is the constant phase element of a double layer capacitance, Rct is the charge transfer resistance, ZW is the Warburg element, RL is the leakage resistance, and CL is the mass capacitance (fitted equivalent circuit elements are detailed in Table S1†). The double layer capacitance (Cdl) was calculated as 850 μF cm−2 by fitting to α = 0.8787. Here, the electrode geometry was considered to be a cylinder, with Rs equal to 2.7 kΩ, and Rct equal to 1.5 MΩ. The neural cell signals were effectively recorded using an electrode impedance of 1 kHz (ref. 36–38) because the neural signal frequency is typically on the order of 1 kHz. The impedance value of the TGVH electrode at 1 kHz was 390 kΩ in Fig. 2(d), which was suitable for recoding the neural signals.
The TGVH electrodes with the above-measured properties produced low-noise signal measurements17 and stimulated the neural activity without significant error.39 The charge injection limit of the TGVH electrode was measured using a biphasic current pulse with an interphase gap (30 μs) applied between the TGVH electrode and the Ag/AgCl reference electrode in PBS. Fig. 2(e) and (f) show that the charge injection limit varied with the pulse width and current amplitude, respectively. The capacitive reactions were detected by gradually increasing the pulse width at 50 μA at a fixed current amplitude, as shown in Fig. 2(e). The capacitance extracted from the linear region of the negative current in Fig. 2(f) was estimated to be approximately 776 μF cm−2, comparable to the double layer capacitance obtained from the EIS measurement.
Spontaneous action potentials may be recorded by culturing cortex neurons dissociated from embryos of an embryonic day 17 SD rat on the VACNTs electrodes coated with PDL to enhance cellular adhesion to the surface. Fig. S4† shows optical images of the cultured neural cells on the TGVH device as a function of DIV. During all stages of development, cells formed stable adhesions to the substrate, and a homogeneous distribution of cortical neuronal cell bodies and neurites was clearly observed through the transparent TGVH devices. A tangled neuronal network developed beyond 6 DIV, and this network remained healthy for one month, suggesting biocompatibility with the TGVH electrode. The cultured cortical neurons were closely investigated after 6 DIV, in accordance with the electrophysiological characteristics and the synaptic connections.40,41 The spontaneous electrical signals of the cortex neurons cultured on the TGVH device were measured using a Home-built MEA System with a 20 kHz sampling rate based on LabVIEW software (National Instruments).42,43 All recorded signals were filtered through a band pass filter with a 300–3000 Hz window, followed by a notch filter to remove 60 Hz noise (as described in the ESI Fig. S5†). Extracellular action potentials with a high amplitude, as shown in Fig. S6,† were reliably recorded from cortical neurons over nearly one month (Fig. S7 and S8†).
The neurons cultured on the TGVH device at 7 DIV were identified by immunofluorescence staining (Fig. 3(a)), which revealed the presence of healthy synaptic connections. The outstanding adhesion between the VACNTs and the axons or dendrites of the neurons is displayed in Fig. 3(b) and (c) and was attributed to the three-dimensional VACNTs electrode with a modified nano-surface.20,21 As shown by Xie et al., mesoscale secondary features on a cellular substrate can enhance cell attachment, growth, and cellular activity.19 A robust interface produces a maximum peak-to-peak amplitude of approximately 1.6 mV with a root mean square (RMS) noise level of 5.92 μV (E29 in Fig. S7†), where the estimated SNR is approximately 215 (considering the negative amplitude spike). The high-amplitude negative spike with a peak amplitude of nearly 1 mV was thought to originate from the action potential of the adjacent soma of a neuron.44 Such a high signal amplitude is seldom observed using extracellular signal measurements that do not involve electroporation, confirming the excellent performances of the TGVH electrodes. The various extracellular action potential waveforms were associated with the position of the attached cell segment on the recording electrode and the distance between the electrode and the cell.45 Partial burst firing activities characteristic of activation patterns of neurons in the central nervous system46,47 were also detected, as shown in Fig. S8(b).†
Fig. 3(d) exhibits a positive spike waveform derived from a distal soma, such as a dendritic compartment, due to the positive capacitive current as a result of current conservation.44,47 Biphasic spike waveforms with an average peak-to-peak amplitude of −168 μV were recorded, as shown in Fig. 3(e). These waveforms are often detected in cultured neuronal cells in our system using other electrodes.42,43 These waveforms may correspond to a positive capacitive current.44,47 The negative spiked waveforms (Fig. 3(f) and (g)) originated from the vicinity of a soma of neuron, with an amplitude that depended on the distance between the electrode and the cell.45 The observed diverse spiked waveforms demonstrated that the TGVH electrodes formed close contact with the substructures of the neuronal cells, such as the somas, axons, and dendrites. Furthermore, assuming that the number of spikes was closely related to the number of cells having a firing activity, wherein each cell was considered to be a point source, the distance-dependence spike amplitude was found to follow a particular distribution. ESI Fig. S9† presents a stochastic model distribution of the distance-dependent spike amplitude deduced from the number of detected spikes and the average amplitude. The spike amplitude decreases with increasing distance from the soma;45,47–49 therefore, the neuronal activities could be analyzed using a stochastic model system.
The TGVH was assessed by investigating the performances of the TGVH electrode and a smooth commercial TiN electrode 30 μm in diameter. Measurements were performed after 3 weeks of cell culture, because mature neuronal cells fire high-frequency and high-amplitude action potentials.50 Fig. 4(a) plots representative signals recorded using the TGVH electrodes, revealing a remarkably high signal amplitude compared to the commercial electrode. The noise floors of the two systems were similar. The maximum SNR of the TGVH electrode (287) was 5 times that of the TiN electrode (54.95), as shown in Fig. 4(b), with a similar RMS noise (TGVH electrode: 3.502 μV, commercial electrode: 3.528 μV). Although we did not expect that the TGVH electrode was completely engulfed by the cell, a large SNR was observed, similar to the results obtained from a mushroom-shaped electrode.51 Therefore, we assumed that the TGVH electrode induced strong coupling between the electrode and the cell, possibly due to the three-dimensional VACNT electrode with a shrunken and crinkly surface, as shown in Fig. S3.† Fig. 4(c) and (d) show that the spikes recorded from 3 representative TGVH electrodes spanned a wide range of negative values, from −30 to −1275 μV, whereas those recorded from the TiN electrodes fell within the range −30 to −200 μV. As with the carbon nanotube electrodes interfaced with retinal tissue,16 the number of detected spikes was lager when using the TiN electrodes, whereas the TGVH electrodes showed signals with a higher amplitude. The difference in the number of spike events was mainly attributed to the electrode size, whereas the amplitude distribution depended on the electrode–cell coupling. The diameter of the active TGVH electrode was 5 μm; therefore, it was unlikely that the electrode was coupled to more than one cell, although one cannot completely rule out the possibility of signal superposition from a nearby neuron cell. Both electrodes exhibited similar distributions of spike amplitudes, with TGVH showing slightly larger distributions.
The cause of the enhanced signal amplitude measured using the TGVH electrodes was explored using transmission electron microscopy (TEM) analysis of the interface in Fig. 5 and S10.† Fig. 5(a) shows a cross-sectional SEM image of a cortical neuron cultured on a TGVH electrode at 7 DIV. As shown in Fig. 5(b) and (c), no cleft formed between the VACNTs with an average tube diameter of 10–20 nm,23 and the cell membrane ensured that the cultured neurons closely adhered to the VACNT surfaces.52 The tight adhesion led to a high seal resistance associated with a high SNR.53 We could not expect the cells to engulf the VACNTs, as in the case of sub-micron electrodes;9,18,54 therefore, we considered the contact area ratio between the electrode (Fig. S11†) and the cell (as described in detail in the ESI†). In our model, the seal resistance used for the simulation was estimated to exceed 50 MΩ, considering that the three-dimensional structure produced a narrow partial cleft (<10 nm).9,51,53,54 This value is comparable with that of capped, high-aspect ratio nanoscale cylinder extensively investigated in the recent work of Santoro et al.55 The equivalent circuit (Fig. 5(d)) predicted the expected amplitude of the extracellular action potential, which depended on the seal resistance and the contact area ratio, as shown in Fig. 5(e). The shape and amplitude of the simulated spike corresponded well to the average extracellular action potential recorded using the TGVH electrode (Fig. S12†), as shown in Fig. 5(f).
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| Fig. 5 Simulation of the amplitude expected from the extracellular action potential as a function of the seal resistance and coupling coefficient, based on the TEM images. (a) The cross-sectional SEM image of a cortical neuron on a VACNT electrode after fixation (inset: top view). (b) Bright-Field (BF) TEM images of the interface between a neuron and a VACNT electrode in the area marked in (a) (inset: high-magnification view of the yellow area marked in (b). The red arrows indicate the neuron membrane). (c) High-angle annular dark-field (HAADF) image and corresponding energy dispersive spectrometry (EDS) (as described in detail in the ESI Fig. S10†) results revealed the intensive accumulation of Ga ions on the remaining cell during the cross-sectioning process. (d) Equivalent circuit of the interface between the cortical neuron and the VACNT electrode (as described in detail in the ESI†). (e) The expected amplitudes of the recorded extracellular action potential, simulated as a function of the seal resistance and the contact area ratio between the neuron and the VACNT electrode (as described in detail in the ESI S11 and S12†). (f) The simulated spike (red line), assuming a 35% contact area ratio and a 50 MΩ seal resistance, corresponded closely to the average amplitude (black line) of the recorded spikes (gray line). | ||
Footnotes |
| † Electronic supplementary information (ESI) available: Raman spectra of graphene electrodes, device fabrication scheme of TGVH device, SEM images that show deformation of VACNT electrodes, optical images of cortical neurons cultured on TGVH device, Home-built MEA systems for recording neuronal signals, action potentials recorded by TGVH electrodes 6–28 DIV, enlarged spontaneous action potential peaks from 3 electrodes at 7 DIV, burst firing activity of the neuron cells, the distance dependence of the spike amplitude, TEM analysis of the interface between VACNT electrodes and the cell, simulation details of extracellular action potential and schematics of neuronal cell-VACNT interfaces. See DOI: 10.1039/c6ra26836f |
| ‡ These authors contributed equally to this work. |
| This journal is © The Royal Society of Chemistry 2017 |