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The potential of the MOA has been validated here for both electrical activity recordings and metabolic activity monitoring. The precise estimation of the capabilities of the device to detect extracellular action potentials was based on a thorough characterization with rat cardiomyocytes cultures (particularly in primary rat cardiomyocytes measured at 8 days in vitro [DIV])18. Figure 3A shows a complete MOA with 16 OCMFETs. The top inset shows an example of a confluent rat cardiomyocyte culture adhering to the surface of the MOA. To highlight their health, the cells have been immunostained for the sarcomeric protein, tropomyosin, after the recording session. The bottom inset shows a single cardiomyocyte signal measured with an OCMFET.
Interestingly, the device could detect spontaneous electrical activity and the activity induced upon the administration of different chemicals, as shown in Figure 3B. This validation was crucial to demonstrate the feasibility of using this approach for electrogenic cell interfacing. Because of the array configuration, the MOA also allowed for the reconstruction of the propagation velocity of the cardiac signal, thus demonstrating the suitability of the system for the study of cellular networks (Figure 3C). For further validation to determine the actual detection limit of the device, the MOA was also tested with striatal neurons (21 DIV)18, with interesting results in terms of signal amplitude and the reliability of the recordings. As seen in Figure 3D, the OCMFET could amplify neuronal field potentials with remarkable stability, showing signal-to-noise ratios (SNRS) of up to 3.2 (in the same range as that of SNRs obtained with standard MEAs25). The recording setup consisted of custom multichannel electronics for the transistor biasing and the signal readout and conditioning. Each channel for the electrical recording has a first stage consisting of an I/V converter with a 1 MΩ feedback resistor and a 150 Hz-1.3 kHz bandpass filter with a voltage gain of 110. For all the presented measurements, the transistors were biased with VDS = VGS = -1 V. The A/D conversion and the data visualization and storing were performed using a data acquisition board (see the Table of Materials). All the measurement sessions were conducted inside a Faraday cage to minimize the electrical, environmental noise on the system.
As previously mentioned, by exploiting the simple physical functionalization presented in the protocol, it was possible to prepare highly sensitive pH sensors with a supernernstian response. Because of the presented fabrication approach, these pH devices could be integrated into an MOA and used to monitor the slight pH variations induced by the metabolic activity of primary hippocampal rat neurons26. In particular, as shown in Figure 4, only one of the two OCMFETs dedicated to low-frequency sensing was selectively functionalized to demonstrate the feasibility of the approach. This selective functionalization allowed the evaluation of the response of the two OCMFETs to chemically induced metabolic variations: in particular, a high metabolic state can be obtained using bicuculline (BIC), an inhibitor of GABA A receptors27, while a low metabolic state can be induced by the addition of tetrodotoxin (TTX), which eventually causes cellular death28. The recording setup consisted of the same custom multichannel electronics used for the electronic activity measurements.
Unlike the previous case, two dedicated channels were used to record the slow variations induced by the cellular metabolic activity. Each channel consisted of a simple circuit composed of two main blocks: an I/V converter with a 1 MΩ feedback resistor and a low-pass filter with a cut-off frequency of 10 Hz. The transistors were biased with VDS = VGS = -1 V, and all the measurements were carried out inside a Faraday cage to minimize the impact of external noise on the recordings (this is a particularly important aspect considering the low current fluctuations induced by the cellular metabolic activity). During the experiments, the cultures were maintained in a low-buffered culture medium, and the whole system was placed in a controlled environment (37 °C and a continuous CO2/air flux). As expected, only the current of the pH-sensitive OCMFET could be modulated by the addition of 25 µM BIC. This was further confirmed by the induction of the current variation by the corresponding variation of the cellular metabolic activity.
The same experiment was repeated after the addition of 10 µM TTX, which resulted in a gradual slowing down of the cellular metabolism. Following the addition of the TTX, neither the pH-sensitive OCMFET nor the pH-insensitive one showed any response, thus demonstrating the efficacy of the approach. These results demonstrate the effectiveness of the proposed functionalization and its relative stability for up to 2 weeks. An important conclusion that can be drawn from the proposed experiments (both the electrical activity and the metabolic activity) is that it is possible to prepare different kinds of sensors by selectively functionalizing different OCMFETs within the same culturing area. This aspect represents a non-trivial achievement in biosensing for cellular applications because being able to monitor different parameters within the same cell culture is crucial for better characterization of the complexity of those biological systems.

Figure 1: Top view of a 16 channel MOA for metabolic and electrical monitoring of electroactive cells. Scale bar = 1 cm. Abbreviations: OCMFETs = organic charge-modulated field-effect transistors; FG = floating gate; S/D = source/drain; MOA = micro OCMFET array. Please click here to view a larger version of this figure.

Figure 2: Main fabrication steps of an MOA for metabolic and electrical monitoring of electroactive cells. (A and B) The evaporated Ti film is patterned using a standard photolithographic process to prepare the floating gate of the OCMFETs. (C) Deposition of 15 nm of Parylene C. This layer, together with the native Ti oxide, acts as the gate dielectric of the transistors. (D and E) The Parylene C layer is patterned using plasma oxygen treatment. A patterned photoresist layer is used to selectively expose the sensing areas for the electrical recordings and the floating gate back contacts. (F) Patterning of the Au top contacts, namely the source, drain, control gate, and floating gate back contact. A self-alignment technique is used to improve the electrical performance of the device. (G-I) Deposition of the second layer of Parylene C on the sensing area of the OCMFETs for metabolic activity monitoring. After the oxygen plasma exposure, this layer will act as the pH-sensitive membrane (J). (K) Cross-section of a complete MOA (with materials) after the deposition of the organic semiconductor (TIPS Pentacene) and the culture chamber positioning. Abbreviations: OCMFETs = organic charge-modulated field-effect transistors; FG = floating gate; S/D = source/drain; MOA = micro OCMFET array; CG = control gate; PET = polyethylene terephthalate; Par C = Parylene C; TIPS = 6,13-bis(triisopropylsilylethynyl) pentacene; ABS = acrylonitrile butadiene styrene. Please click here to view a larger version of this figure.

Figure 3: Cellular electrical activity recordings with an MOA. (A) A confluent culture of rat cardiomyocytes (8 DIV) adhering to the surface of an MOA, fixed after a recording session and immunostained for the sarcomeric protein, tropomyosin (upper inset). Bottom inset: example of a single cardiomyocyte signal measured with an OCMFET. Scale bar = 150 µm. (B) Chemical tuning of the electrical activity of a cardiomyocyte culture. The activity acceleration resulted from the addition of 100 mM norepinephrine, while suppression resulted from the addition of 100 mM verapamil. Left: beating frequency modulation; right: statistics on 5 OCMFETs-average and standard deviation: spike-count on 4 min of basal (129 ± 4.6), norepinephrine-mediated (280 ± 28.6) and verapamil-mediated activity (15 ± 1.9). (C) Reconstruction of the propagation of a cardiac signal. Right: raster plot of the spontaneous activity of the culture indicating the propagation of the signal from site 14 to site 41 (right). (D) Action potentials of striatal cells from rat embryo (21 DIV). This figure has been modified from 18. Abbreviations: OCMFET = organic charge-modulated field-effect transistor; MOA = micro OCMFET array; NE = norepinephrine; VER = verapamil; DIV = days in vitro. Please click here to view a larger version of this figure.

Figure 4: Metabolic activity recordings with an MOA. Response of the (A) pH-sensitive and (B) pH-insensitive channels of an MOA to the addition of 25 µM BIC before and after the addition of 10 µM of TTX. After the TTX addition, the behavior of the pH-sensitive channel becomes similar to that of the pH-insensitive one. In particular, no current variation can be observed after the BIC addition due to the TTX-induced cellular death. (C) MOA for metabolic activity recordings. The pH-sensitive and the pH-insensitive OCMFETs are outlined in green and red, respectively. Inset: healthy hippocampal neurons cultured onto the device after 15 DIV. Scale bar = 50 µm. This figure has been modified from 26. Abbreviations: OCMFET = organic charge-modulated field-effect transistor; MOA = micro OCMFET array; BIC = bicuculline; TTX = tetrodotoxin; DIV = days in vitro. Please click here to view a larger version of this figure.