Performance-enhanced flexible piezoelectric nanogenerator via layer-by-layer assembly for self-powered vagal neuromodulation

Zhang, Yuanzheng; Zhou, Liping; Gao, Xiangyang; Liu, Chengzhe; Chen, Huaqiang; Zheng, Haiwu; Gui, Jinzheng; Sun, Chengliang; Yu, Lilei; Guo, Shishang

doi:10.1016/j.nanoen.2021.106319

Cited by 45 publications

(31 citation statements)

References 63 publications

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“…Among those, we chose as a specific example the use of PENG harvesters in deep brain stimulation as described in Reference [ 72 ]. The dimensions of the PENG were 1.7 cm × 1.7 cm, and the obtained current was 283 µA at a voltage of 11 V. The PENG application in vagus nerve stimulation has been presented by Zhang et al in Reference [ 73 ], with a power of 23.94 µW/cm 2 . Generally speaking, however, while PENG appears to ensure sufficient power for some specific functionalities of implantable seizure control devices, it leaves much to be desired in regard to enabling more complex multifunctionalities.…”

Section: Resultsmentioning

confidence: 99%

Optimized Design of a Self-Biased Amplifier for Seizure Detection Supplied by Piezoelectric Nanogenerator: Metaheuristic Algorithms versus ANN-Assisted Goal Attainment Method

et al. 2022

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This work is dedicated to parameter optimization for a self-biased amplifier to be used in preamplifiers for the diagnosis of seizures in neuro-diseases such as epilepsy. For the sake of maximum compactness, which is obligatory for all implantable devices, power is to be supplied by a piezoelectric nanogenerator (PENG). Several meta-heuristic optimization algorithms and an ANN (artificial neural network)-assisted goal attainment method were applied to the circuit, aiming to provide us with the set of optimal design parameters which ensure the minimal overall area of the preamplifier. These parameters are the slew rate, load capacitor, gain–bandwidth product, maximal input voltage, minimal input voltage, input voltage, reference voltage, and dissipation power. The results are re-evaluated and compared in the Cadence 180 nm SCL environment. It has been observed that, among the metaheuristic algorithms, the whale optimization technique reached the best values at low computational cost, decreased complexity, and the highest convergence speed. However, all metaheuristic algorithms were outperformed by the ANN-assisted goal attainment method, which produced a roughly 50% smaller overall area of the preamplifier. All the techniques described here are applicable to the design and optimization of wearable or implantable circuits.

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Section: Resultsmentioning

confidence: 99%

Optimized Design of a Self-Biased Amplifier for Seizure Detection Supplied by Piezoelectric Nanogenerator: Metaheuristic Algorithms versus ANN-Assisted Goal Attainment Method

et al. 2022

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“…Moreover, Zhang et al developed a battery-free piezoelectric nanogenerator that could successfully harvest biomedical energy from the carotid artery pulsation to stimulate the vagus nerve. The piezoelectric nanogenerator was fabricated with the help of the electrospinning method [141]. This method helps produce layer-by-layer assembly using poly(vinylidene fluoride-co-trifluoroethylene) and barium titanium oxide.…”

Section: Vagus Nerve Stimulationmentioning

confidence: 99%

“…The fabricated device results showed induced power density is superior to that of most devices prepared with the same materials and is attributable to the even distribution of stresses on generating units. The stress mode that is evenly distributed inside a multi-unit generator was further conformed by COMSOL simulation analysis [141]. The device responses to the vagus nerve showed a decreased rate of heart canines [141], suggesting this could potentially stimulate the vagus nerve wirelessly without any complicated circuits and electrical components [141].…”

Section: Vagus Nerve Stimulationmentioning

confidence: 99%

New Era of Electroceuticals: Clinically Driven Smart Implantable Electronic Devices Moving towards Precision Therapy

Magisetty

Park

2022

Micromachines

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In the name of electroceuticals, bioelectronic devices have transformed and become essential for dealing with all physiological responses. This significant advancement is attributable to its interdisciplinary nature from engineering and sciences and also the progress in micro and nanotechnologies. Undoubtedly, in the future, bioelectronics would lead in such a way that diagnosing and treating patients’ diseases is more efficient. In this context, we have reviewed the current advancement of implantable medical electronics (electroceuticals) with their immense potential advantages. Specifically, the article discusses pacemakers, neural stimulation, artificial retinae, and vagus nerve stimulation, their micro/nanoscale features, and material aspects as value addition. Over the past years, most researchers have only focused on the electroceuticals metamorphically transforming from a concept to a device stage to positively impact the therapeutic outcomes. Herein, the article discusses the smart implants’ development challenges and opportunities, electromagnetic field effects, and their potential consequences, which will be useful for developing a reliable and qualified smart electroceutical implant for targeted clinical use. Finally, this review article highlights the importance of wirelessly supplying the necessary power and wirelessly triggering functional electronic circuits with ultra-low power consumption and multi-functional advantages such as monitoring and treating the disease in real-time.

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“…In situ mechanical stretching and poling during the formation of piezoelectric fibers are important features of electrospinning, which enable high yields of self‐poled crystalline electroactive crystalline β phases in P(VDF‐TrFE) without the need for post‐processing (e.g., poling for polarization). [ 28,29 ] To further enhance crystalline β‐ phases in electrospun fibers, the methods such as addition of salt; [ 30,31 ] formation of composites with nanofillers such as carbon‐based materials, [ 14,32 ] ferroelectric nanoparticles, [ 27,33–37 ] MXenes, [ 38,39 ] or zinc oxide nanorods; [ 14,40,41 ] and poling and thermal annealing [ 42 ] have been explored to promote the formation of the crystalline β phase for enhancing the piezoelectric performance of such polymers. [ 22,43,44 ]…”

Section: Introductionmentioning

confidence: 99%

“…electrospinning, which enable high yields of self-poled crystalline electroactive crystalline β phases in P(VDF-TrFE) without the need for post-processing (e.g., poling for polarization). [28,29] To further enhance crystalline β-phases in electrospun fibers, the methods such as addition of salt; [30,31] formation of composites with nanofillers such as carbon-based materials, [14,32] ferroelectric nanoparticles, [27,[33][34][35][36][37] MXenes, [38,39] or zinc oxide nanorods; [14,40,41] and poling and thermal annealing [42] have been explored to promote the formation of the crystalline β phase for enhancing the piezoelectric performance of such polymers. [22,43,44] Alternatively, engineering other features, such as the structural characteristics of piezoelectric materials, can be a promising route for enhancing the piezoelectric energy harvesting or sensing performance of such materials.…”

Section: Introductionmentioning

confidence: 99%

Ambient Humidity‐Induced Phase Separation for Fiber Morphology Engineering toward Piezoelectric Self‐Powered Sensing

Lee

Kim

Lee

et al. 2022

Small

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Electrospun polymeric piezoelectric fibers have a considerable potential for shape‐adaptive mechanical energy harvesting and self‐powered sensing in biomedical, wearable, and industrial applications. However, their unsatisfactory piezoelectric performance remains an issue to be overcome. While strategies for increasing the crystallinity of electroactive β phases have thus far been the major focus in realizing enhanced piezoelectric performance, tailoring the fiber morphology can also be a promising alternative. Herein, a design strategy that combines the nonsolvent‐induced phase separation of a polymer/solvent/water ternary system and electrospinning for fabricating piezoelectric poly(vinylidene fluoride‐trifluoroethylene) (P(VDF‐TrFE) fibers with surface porosity under ambient humidity is presented. Notably, electrospun P(VDF‐TrFE) fibers with higher surface porosity outperform their smooth‐surfaced counterparts with a higher β phase content in terms of output voltage and power generation. Theoretical and numerical studies also underpin the contribution of the structural porosity to the harvesting performance, which is attributable to local stress concentration and reduced dielectric constant due to the air in the pores. This porous fiber design can broaden the application prospects of shape‐adaptive energy harvesting and self‐powered sensing based on piezoelectric polymer fibers with enhanced voltage and power performance, as successfully demonstrated in this work by developing a communication system based on self‐powered motion sensing.

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Performance-enhanced flexible piezoelectric nanogenerator via layer-by-layer assembly for self-powered vagal neuromodulation

Cited by 45 publications

References 63 publications

Optimized Design of a Self-Biased Amplifier for Seizure Detection Supplied by Piezoelectric Nanogenerator: Metaheuristic Algorithms versus ANN-Assisted Goal Attainment Method

Optimized Design of a Self-Biased Amplifier for Seizure Detection Supplied by Piezoelectric Nanogenerator: Metaheuristic Algorithms versus ANN-Assisted Goal Attainment Method

New Era of Electroceuticals: Clinically Driven Smart Implantable Electronic Devices Moving towards Precision Therapy

Ambient Humidity‐Induced Phase Separation for Fiber Morphology Engineering toward Piezoelectric Self‐Powered Sensing

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