Electrical stimulation of cells through photovoltaic microcell arrays

Vargas-Estevez, Carolina; Blanquer, Andreu; Murillo, Gonzalo; Duque, Marcos; Barrios, Leonardo; Nogués, Carme; Ibáñez, Elena; Estéve, J.

doi:10.1016/j.nanoen.2018.07.012

Cited by 15 publications

(6 citation statements)

References 40 publications

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“…Furthermore, according to the U.S. Food and Drug Administration's regulation, the safety threshold of US in the human body is 720 mW/cm 2 (23), which is dozens of times greater than that of radio waves (10 mW/cm 2 ) (24). These two factors enable ultrasonic wireless energy-harvesting technology's unique advantages in biomedical applications in contrast to other wireless power transmission technologies, such as electromagnetic (25)(26)(27), piezoelectric (20,21), triboelectric (28)(29)(30), electrostatic (31)(32)(33), biofuel cell (34,35), thermoelectric (36,37), and photovoltaic (38,39) (table S1).…”

Section: Introductionmentioning

confidence: 99%

Piezoelectric ultrasound energy–harvesting device for deep brain stimulation and analgesia applications

et al. 2022

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Supplying wireless power is a challenging technical problem of great importance for implantable biomedical devices. Here, we introduce a novel implantable piezoelectric ultrasound energy–harvesting device based on Sm-doped Pb(Mg 1/3 Nb 2/3 )O 3 -PbTiO 3 (Sm-PMN-PT) single crystal. The output power density of this device can reach up to 1.1 W/cm 2 in vitro, which is 18 times higher than the previous record (60 mW/cm 2 ). After being implanted in the rat brain, under 1-MHz ultrasound with a safe intensity of 212 mW/cm 2 , the as-developed device can produce an instantaneous effective output power of 280 μW, which can immediately activate the periaqueductal gray brain area. The rat electrophysiological experiments under anesthesia and behavioral experiments demonstrate that our wireless-powered device is well qualified for deep brain stimulation and analgesia applications. These encouraging results provide new insights into the development of implantable devices in the future.

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Section: Introductionmentioning

confidence: 99%

Piezoelectric ultrasound energy–harvesting device for deep brain stimulation and analgesia applications

et al. 2022

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“…Torabi et al [13] reviewed the development of single junction perovskite solar cells with a focus on the material structure, bandgap engineering and crystallization strategies. Vargas-Estevez et al [14] report the fabrication of a simple photovoltaic microcell array (PVMA) using a CMOS-compatible microfabrication technology. Mathews et al [15] reported some non-technical barriers to commercialization of IPV technologies including a requirement for a greater understanding of the costs when manufacturing low volumes of small IPV modules, toxicity concerns, and the stability of materials.…”

Section: B-double Exponential Model (Dem)mentioning

confidence: 99%

Study of Models Using One or Two Exponentials to Simulate the Characteristic Current-voltage of Silicon Solar Cells

Sari-Ali¹,

Benyoucef²,

Chikh-Bled³

et al. 2019

EJEE

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The production of electricity based on the conversion of the sunlight by photocells crystalline silicon is the most way using on technological and industrial plan. As a consequence, the development of the applications of energy production requires cells with high efficiency and low cost. We propose two models using either one or two exponentials allowing to simulate the characteristic current-voltage of a solar cell. The goal of our work is to present a comparative study between the model theoretical and experimental aiming at the improvement of the solar cell efficiency. We also determine the parameters of the solar cell from the current-voltage curve. Additionally, we provide a justification for using the two exponential models for improving the cell efficiency. The model with two exponential allowing to investigate the phenomena of recombination in zone of diffusion and space charge in the areas quasi-neutrals of the transmitter and the base. This study underlines the insufficiency of the model to exponential generally used by showing that it leads to the design of the ideal solar cells whereas structures characterized by a factor of quality greater outcome with high efficiency.

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“…[43] Piezoelectric nanocomposites, on the other hand, could be excellent candidates for the next generation of nano-engineered bio-hybrid robots, due to the possibility of converting sound waves into voltage differences and providing remote actuation of skeletal muscle tissue. [44,45] Moreover, as electrical stimulation during myogenesis can improve the differentiation and maturation of skeletal muscle, [46,47] the addition of piezoelectric nanocomposites could offer benefits in tissue engineering. The mechanical stress generated by cell-laden hydrogels could be transmitted to the piezoelectric nanocomposites, that in turn generate a piezo potential along the nanostructure, creating a charge redistribution around the cell membranes.…”

Section: Introductionmentioning

confidence: 99%

Improved Performance of Biohybrid Muscle‐Based Bio‐Bots Doped with Piezoelectric Boron Nitride Nanotubes

Mestre

Fuentes

Lefaix

et al. 2022

Adv Materials Technologies

Self Cite

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their materials, such as compliance, flexibility, and overall safety for human interaction. Commonly, the rigidity and stiffness of conventional materials in robotics limit their applications into certain healthcare or biomedical disciplines. [1][2][3] Recent developments in material science have made possible the fabrication of biomimetic soft robots that are able to perform some simple types of actuation [4] including crawling, [5] gripping, [6] or change its shape, [7] but they are still far from the degree of complexity and movement sophistication in living organisms.One of the most investigated applications of soft robotics is the development of artificial muscles that can mimic the performance of native muscle tissue in mammals. Muscle tissue is inherently complex, being simultaneously strong and fast while enabling a wide variety of movements through an efficient self-organization of its fiber bundles. However, current materials still lack the ability to fully replicate these properties. [8] Even more, other features from biological tissues, such as self-healing, energy efficiency, power-to-weight ratio, adaptability or bio-sensing, to name only a few, are strongly desired but difficult to achieve with artificial soft materials. [9] Bio-hybrid robotics is born at this point as a synergistic strategy to integrate the best characteristics of biological entities and artificial materials into more efficient and complex systems, hoping to overcome the difficulties that current soft robots face. Several strategies to unify the development of bio-hybrid devices have Biohybrid robots, or bio-bots, integrate living and synthetic materials following a synergistic strategy to acquire some of the unique properties of biological organisms, like adaptability or bio-sensing, which are difficult to obtain exclusively using artificial materials. Skeletal muscle is one of the preferred candidates to power bio-bots, enabling a wide variety of movements from walking to swimming. Conductive nanocomposites, like gold nanoparticles or graphene, can provide benefits to muscle cells by improving the scaffolds' mechanical and conductive properties. Here, boron nitride nanotubes (BNNTs), with piezoelectric properties, are integrated in musclebased bio-bots and an improvement in their force output and motion speed is demonstrated. A full characterization of the BNNTs is provided, and their piezoelectric behavior with piezometer and dynamometer measurements is confirmed. It is hypothesized that the improved performance is a result of an electric field generated by the nanocomposites due to stresses produced by the cells during differentiation. This hypothesis is backed with finite element simulations supporting that this stress can generate a non-zero electric field within the matrix. With this work, it is shown that the integration of nanocomposite into muscle-based bio-bots can improve their performance, paving the way toward stronger and faster bio-hybrid robots.

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Electrical stimulation of cells through photovoltaic microcell arrays

Cited by 15 publications

References 40 publications

Piezoelectric ultrasound energy–harvesting device for deep brain stimulation and analgesia applications

Piezoelectric ultrasound energy–harvesting device for deep brain stimulation and analgesia applications

Study of Models Using One or Two Exponentials to Simulate the Characteristic Current-voltage of Silicon Solar Cells

Improved Performance of Biohybrid Muscle‐Based Bio‐Bots Doped with Piezoelectric Boron Nitride Nanotubes

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