Log in

Relevant bibliographies by topics / Graphene neurons / Journal articles

Journal articles on the topic 'Graphene neurons'

To see the other types of publications on this topic, follow the link: Graphene neurons.

Author: Grafiati

Published: 11 March 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Graphene neurons.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Sakai, Koji, Tetsuhiko F. Teshima, Hiroshi Nakashima, and Yuko Ueno. "Graphene-based neuron encapsulation with controlled axonal outgrowth." Nanoscale 11, no. 28 (2019): 13249–59. http://dx.doi.org/10.1039/c9nr04165f.

Full text

Abstract:

We demonstrate the formation of a micro-roll for neuron encapsulation with a self-folding graphene/parylene-C bilayer film, and show the importance of using pores on the micro-roll to allow the encapsulated neurons to interact with the surroundings.

APA, Harvard, Vancouver, ISO, and other styles

2

D'Abaco, Giovanna M., Cristiana Mattei, Babak Nasr, Emma J. Hudson, Abdullah J. Alshawaf, Gursharan Chana, Ian P. Everall, Bryony Nayagam, Mirella Dottori, and Efstratios Skafidas. "Graphene foam as a biocompatible scaffold for culturing human neurons." Royal Society Open Science 5, no. 3 (March 2018): 171364. http://dx.doi.org/10.1098/rsos.171364.

Full text

Abstract:

In this study, we explore the use of electrically active graphene foam as a scaffold for the culture of human-derived neurons. Human embryonic stem cell (hESC)-derived cortical neurons fated as either glutamatergic or GABAergic neuronal phenotypes were cultured on graphene foam. We show that graphene foam is biocompatible for the culture of human neurons, capable of supporting cell viability and differentiation of hESC-derived cortical neurons. Based on the findings, we propose that graphene foam represents a suitable scaffold for engineering neuronal tissue and warrants further investigation as a model for understanding neuronal maturation, function and circuit formation.

APA, Harvard, Vancouver, ISO, and other styles

3

Marquez, Bicky A., Hugh Morison, Zhimu Guo, Matthew Filipovich, Paul R. Prucnal, and Bhavin J. Shastri. "Graphene-based photonic synapse for multi wavelength neural networks." MRS Advances 5, no. 37-38 (2020): 1909–17. http://dx.doi.org/10.1557/adv.2020.327.

Full text

Abstract:

AbstractA synapse is a junction between two biological neurons, and the strength, or weight of the synapse, determines the communication strength between the neurons. Building a neuromorphic (i.e. neuron isomorphic) computing architecture, inspired by a biological network or brain, requires many engineered synapses. Furthermore, recent investigation in neuromorphic photonics, i.e. neuromorphic architectures on photonics platforms, have garnered much interest to enable high-bandwidth, low-latency, low-energy applications of neural networks in machine learning and neuromorphic computing. We propose a graphene-based synapse model as a core element to enable large-scale photonic neural networks based on on-chip multiwavelength techniques. This device consists of an electro-absorption modulator embedded in a microring resonator. We also introduce an encoding protocol that allows for the representation of synaptic weights on our photonic device with 15.7 bits of resolution using current control hardware. Recent work has suggested that graphene-based modulators could operate in excess of 100 GHz. Combined with our work, such a graphene-based synapse could enable applications for ultrafast and online learning.

APA, Harvard, Vancouver, ISO, and other styles

4

Sahni, Deshdeepak, Andrew Jea, Javier A. Mata, Daniela C. Marcano, Ahilan Sivaganesan, Jacob M. Berlin, Claudio E. Tatsui, et al. "Biocompatibility of pristine graphene for neuronal interface." Journal of Neurosurgery: Pediatrics 11, no. 5 (May 2013): 575–83. http://dx.doi.org/10.3171/2013.1.peds12374.

Full text

Abstract:

Object Graphene possesses unique electrical, physical, and chemical properties that may offer significant potential as a bioscaffold for neuronal regeneration after spinal cord injury. The purpose of this investigation was to establish the in vitro biocompatibility of pristine graphene for interface with primary rat cortical neurons. Methods Graphene films were prepared by chemical vapor deposition on a copper foil catalytic substrate and subsequent apposition on bare Permanox plastic polymer dishes. Rat neuronal cell culture was grown on graphene-coated surfaces, and cell growth and attachment were compared with those on uncoated and poly-d-lysine (PDL)-coated controls; the latter surface is highly favorable for neuronal attachment and growth. Live/dead cell analysis was conducted with flow cytometry using ethidium homodimer-1 and calcein AM dyes. Lactate dehydrogenase (LDH) levels—indicative of cytotoxicity—were measured as markers of cell death. Phase contrast microscopy of active cell culture was conducted to assess neuronal attachment and morphology. Results Statistically significant differences in the percentage of live or dead neurons were noted between graphene and PDL surfaces, as well as between the PDL-coated and bare surfaces, but there was little difference in cell viability between graphene-coated and bare surfaces. There were significantly lower LDH levels in the graphene-coated samples compared with the uncoated ones, indicating that graphene was not more cytotoxic than the bare control surface. According to phase contrast microscopy, neurons attached to the graphene-coated surface and were able to elaborate long, neuritic processes suggestive of normal neuronal metabolism and morphology. Conclusions Further use of graphene as a bioscaffold will require surface modification that enhances hydrophilicity to increase cellular attachment and growth. Graphene is a nanomaterial that is biocompatible with neurons and may have significant biomedical applications.

APA, Harvard, Vancouver, ISO, and other styles

5

Rawat, Sonali, Krishan Gopal Jain, Deepika Gupta, Pawan Kumar Raghav, Rituparna Chaudhuri, Pinky, Adeeba Shakeel, et al. "Graphene nanofiber composites for enhanced neuronal differentiation of human mesenchymal stem cells." Nanomedicine 16, no. 22 (September 2021): 1963–82. http://dx.doi.org/10.2217/nnm-2021-0121.

Full text

Abstract:

Aim: To differentiate mesenchymal stem cells into functional dopaminergic neurons using an electrospun polycaprolactone (PCL) and graphene (G) nanocomposite. Methods: A one-step approach was used to electrospin the PCL nanocomposite, with varying G concentrations, followed by evaluating their biocompatibility and neuronal differentiation. Results: PCL with exiguous graphene demonstrated an ideal nanotopography with an unprecedented combination of guidance stimuli and substrate cues, aiding the enhanced differentiation of mesenchymal stem cells into dopaminergic neurons. These newly differentiated neurons were seen to exhibit unique neuronal arborization, enhanced intracellular Ca2+ influx and dopamine secretion. Conclusion: Having cost-effective fabrication and room-temperature storage, the PCL-G nanocomposites could pave the way for enhanced neuronal differentiation, thereby opening a new horizon for an array of applications in neural regenerative medicine.

APA, Harvard, Vancouver, ISO, and other styles

6

Tasnim, Nishat, Vikram Thakur, Munmun Chattopadhyay, and Binata Joddar. "The Efficacy of Graphene Foams for Culturing Mesenchymal Stem Cells and Their Differentiation into Dopaminergic Neurons." Stem Cells International 2018 (June 3, 2018): 1–12. http://dx.doi.org/10.1155/2018/3410168.

Full text

Abstract:

The implantation of stem cells in vivo is the ideal approach for the restoration of normal life functions, such as replenishing the decreasing levels of affected dopaminergic (DA) neurons during neurodegenerative disease conditions. However, combining stem cells with biomaterial scaffolds provides a promising strategy for engineering tissues or cellular delivery for directed stem cell differentiation as a means of replacing diseased/damaged tissues. In this study, mouse mesenchymal stem cells (MSCs) were differentiated into DA neurons using sonic hedgehog, fibroblast growth factor, basic fibroblast growth factor, and brain-derived neurotrophic factor, while they were cultured within collagen-coated 3D graphene foams (GF). The differentiation into DA neurons within the collagen-coated GF and controls (collagen gels, plastic) was confirmed using β-III tubulin, tyrosine hydroxylase (TH), and NeuN positive immunostaining. Enhanced expression of β-III tubulin, TH, and NeuN and an increase in the average neurite extension length were observed when cells were differentiated within collagen-coated GF in comparison with collagen gels. Furthermore, these graphene-based scaffolds were not cytotoxic as MSC seemed to retain viability and proliferated substantially during in vitro culture. In summary, these results suggest the utility of 3D graphene foams towards the differentiation of DA neurons from MSC, which is an important step for neural tissue engineering applications.

APA, Harvard, Vancouver, ISO, and other styles

7

Bendali, Amel, Lucas H. Hess, Max Seifert, Valerie Forster, Anne-Fleur Stephan, Jose A. Garrido, and Serge Picaud. "Purified Neurons can Survive on Peptide-Free Graphene Layers." Advanced Healthcare Materials 2, no. 7 (January 8, 2013): 929–33. http://dx.doi.org/10.1002/adhm.201200347.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Singaraju, Surya A., Dennis D. Weller, Thurid S. Gspann, Jasmin Aghassi-Hagmann, and Mehdi B. Tahoori. "Artificial Neurons on Flexible Substrates: A Fully Printed Approach for Neuromorphic Sensing." Sensors 22, no. 11 (May 25, 2022): 4000. http://dx.doi.org/10.3390/s22114000.

Full text

Abstract:

Printed electronic devices have demonstrated their applicability in complex electronic circuits. There is recent progress in the realization of neuromorphic computing systems (NCSs) to implement basic synaptic functions using solution-processed materials. However, a fully printed neuron is yet to be realised. We demonstrate a fully printed artificial neuromorphic circuit on flexible polyimide (PI) substrate. Characteristic features of individual components of the printed system were guided by the software training of the NCS. The printing process employs graphene ink for passive structures and In2O3 as active material to print a two-input artificial neuron on PI. To ensure a small area footprint, the thickness of graphene film is tuned to target a resistance and to obtain conductors or resistors. The sheet resistance of the graphene film annealed at 300 °C can be adjusted between 200 Ω and 500 kΩ depending on the number of printed layers. The fully printed devices withstand a minimum of 2% tensile strain for at least 200 cycles of applied stress without any crack formation. The area usage of the printed two-input neuron is 16.25 mm2, with a power consumption of 37.7 mW, a propagation delay of 1 s, and a voltage supply of 2 V, which renders the device a promising candidate for future applications in smart wearable sensors.

APA, Harvard, Vancouver, ISO, and other styles

9

DiFrancesco, Mattia L., Elisabetta Colombo, Ermanno D. Papaleo, José Fernando Maya-Vetencourt, Giovanni Manfredi, Guglielmo Lanzani, and Fabio Benfenati. "A hybrid P3HT-Graphene interface for efficient photostimulation of neurons." Carbon 162 (June 2020): 308–17. http://dx.doi.org/10.1016/j.carbon.2020.02.043.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Baek, Soonbong, Jaesur Oh, Juhyun Song, Hwan Choi, Junsang Yoo, Gui-Yeon Park, Jin Han, et al. "Generation of Integration-Free Induced Neurons Using Graphene Oxide-Polyethylenimine." Small 13, no. 5 (November 7, 2016): 1601993. http://dx.doi.org/10.1002/smll.201601993.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Wang, He, Nicoleta Cucu Laurenciu, Yande Jiang, and Sorin Cotofana. "Graphene-Based Artificial Synapses with Tunable Plasticity." ACM Journal on Emerging Technologies in Computing Systems 17, no. 4 (July 2021): 1–21. http://dx.doi.org/10.1145/3447778.

Full text

Abstract:

Design and implementation of artificial neuromorphic systems able to provide brain akin computation and/or bio-compatible interfacing ability are crucial for understanding the human brain’s complex functionality and unleashing brain-inspired computation’s full potential. To this end, the realization of energy-efficient, low-area, and bio-compatible artificial synapses, which sustain the signal transmission between neurons, is of particular interest for any large-scale neuromorphic system. Graphene is a prime candidate material with excellent electronic properties, atomic dimensions, and low-energy envelope perspectives, which was already proven effective for logic gates implementations. Furthermore, distinct from any other materials used in current artificial synapse implementations, graphene is biocompatible, which offers perspectives for neural interfaces. In view of this, we investigate the feasibility of graphene-based synapses to emulate various synaptic plasticity behaviors and look into their potential area and energy consumption for large-scale implementations. In this article, we propose a generic graphene-based synapse structure, which can emulate the fundamental synaptic functionalities, i.e., Spike-Timing-Dependent Plasticity (STDP) and Long-Term Plasticity . Additionally, the graphene synapse is programable by means of back-gate bias voltage and can exhibit both excitatory or inhibitory behavior. We investigate its capability to obtain different potentiation/depression time scale for STDP with identical synaptic weight change amplitude when the input spike duration varies. Our simulation results, for various synaptic plasticities, indicate that a maximum 30% synaptic weight change and potentiation/depression time scale range from [-1.5 ms, 1.1 ms to [-32.2 ms, 24.1 ms] are achievable. We further explore the effect of our proposal at the Spiking Neural Network (SNN) level by performing NEST-based simulations of a small SNN implemented with 5 leaky-integrate-and-fire neurons connected via graphene-based synapses. Our experiments indicate that the number of SNN firing events exhibits a strong connection with the synaptic plasticity type, and monotonously varies with respect to the input spike frequency. Moreover, for graphene-based Hebbian STDP and spike duration of 20ms we obtain an SNN behavior relatively similar with the one provided by the same SNN with biological STDP. The proposed graphene-based synapse requires a small area (max. 30 nm 2 ), operates at low voltage (200 mV), and can emulate various plasticity types, which makes it an outstanding candidate for implementing large-scale brain-inspired computation systems.

APA, Harvard, Vancouver, ISO, and other styles

12

Wang, Xin, Ming Guo, Yang Liu, Kai Niu, Xianliang Zheng, Yumin Yang, and Ping Wang. "Reduced Graphene Oxide Fibers for Guidance Growth of Trigeminal Sensory Neurons." ACS Applied Bio Materials 4, no. 5 (May 3, 2021): 4236–43. http://dx.doi.org/10.1021/acsabm.1c00058.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Oh, Hong Gi, Dae Hoon Kim, Woo Hwan Park, Ki Moo Lim, Joon Mook Lim, and Kwang Soup Song. "Artificial Differentiation of Hippocampal Neurons by Electrical Stimulation on Graphene Electrode." Journal of Nanoscience and Nanotechnology 19, no. 12 (December 1, 2019): 7911–15. http://dx.doi.org/10.1166/jnn.2019.16850.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Park, Sung Young, Jaesung Park, Sung Hyun Sim, Moon Gyu Sung, Kwang S. Kim, Byung Hee Hong, and Seunghun Hong. "Enhanced Differentiation of Human Neural Stem Cells into Neurons on Graphene." Advanced Materials 23, no. 36 (August 8, 2011): H263—H267. http://dx.doi.org/10.1002/adma.201101503.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Perini, Giordano, Valentina Palmieri, Gabriele Ciasca, Marcello D’Ascenzo, Jacopo Gervasoni, Aniello Primiano, Monica Rinaldi, et al. "Graphene Quantum Dots’ Surface Chemistry Modulates the Sensitivity of Glioblastoma Cells to Chemotherapeutics." International Journal of Molecular Sciences 21, no. 17 (August 31, 2020): 6301. http://dx.doi.org/10.3390/ijms21176301.

Full text

Abstract:

Recent evidence has shown that graphene quantum dots (GQDs) are capable of crossing the blood–brain barrier, the barrier that reduces cancer therapy efficacy. Here, we tested three alternative GQDs’ surface chemistries on two neural lineages (glioblastoma cells and mouse cortical neurons). We showed that surface chemistry modulates GQDs’ biocompatibility. When used in combination with the chemotherapeutic drug doxorubicin, GDQs exerted a synergistic effect on tumor cells, but not on neurons. This appears to be mediated by the modification of membrane permeability induced by the surface of GQDs. Our findings highlight that GQDs can be adopted as a suitable delivery and therapeutic strategy for the treatment of glioblastoma, by both directly destabilizing the cell membrane and indirectly increasing the efficacy of chemotherapeutic drugs.

APA, Harvard, Vancouver, ISO, and other styles

16

Cherian, R. S., J. Ashtami, and P. V. Mohanan. "Effect of surface modified reduced graphene oxide nanoparticles on cerebellar granule neurons." Journal of Drug Delivery Science and Technology 58 (August 2020): 101706. http://dx.doi.org/10.1016/j.jddst.2020.101706.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

He, Zuhong, Shasha Zhang, Qin Song, Wenyan Li, Dong Liu, Huawei Li, Mingliang Tang, and Renjie Chai. "The structural development of primary cultured hippocampal neurons on a graphene substrate." Colloids and Surfaces B: Biointerfaces 146 (October 2016): 442–51. http://dx.doi.org/10.1016/j.colsurfb.2016.06.045.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Perini, Giordano, Valentina Palmieri, Gabriele Ciasca, Marcello D’Ascenzo, Aniello Primiano, Jacopo Gervasoni, Flavio De Maio, Marco De Spirito, and Massimiliano Papi. "Enhanced Chemotherapy for Glioblastoma Multiforme Mediated by Functionalized Graphene Quantum Dots." Materials 13, no. 18 (September 17, 2020): 4139. http://dx.doi.org/10.3390/ma13184139.

Full text

Abstract:

Glioblastoma is the most aggressive and lethal brain cancer. Current treatments involve surgical resection, radiotherapy and chemotherapy. However, the life expectancy of patients with this disease remains short and chemotherapy leads to severe adverse effects. Furthermore, the presence of the blood–brain barrier (BBB) makes it difficult for drugs to effectively reach the brain. A promising strategy lies in the use of graphene quantum dots (GQDs), which are light-responsive graphene nanoparticles that have shown the capability of crossing the BBB. Here we investigate the effect of GQDs on U87 human glioblastoma cells and primary cortical neurons. Non-functionalized GQDs (NF-GQDs) demonstrated high biocompatibility, while dimethylformamide-functionalized GQDs (DMF-GQDs) showed a toxic effect on both cell lines. The combination of GQDs and the chemotherapeutic agent doxorubicin (Dox) was tested. GQDs exerted a synergistic increase in the efficacy of chemotherapy treatment, specifically on U87 cells. The mechanism underlying this synergy was investigated, and it was found that GQDs can alter membrane permeability in a manner dependent on the surface chemistry, facilitating the uptake of Dox inside U87 cells, but not on cortical neurons. Therefore, experimental evidence indicates that GQDs could be used in a combined therapy against brain cancer, strongly increasing the efficacy of chemotherapy and, at the same time, reducing its dose requirement along with its side effects, thereby improving the life quality of patients.

APA, Harvard, Vancouver, ISO, and other styles

19

Kujawska, Małgorzata, Sheetal K. Bhardwaj, Yogendra Kumar Mishra, and Ajeet Kaushik. "Using Graphene-Based Biosensors to Detect Dopamine for Efficient Parkinson’s Disease Diagnostics." Biosensors 11, no. 11 (October 31, 2021): 433. http://dx.doi.org/10.3390/bios11110433.

Full text

Abstract:

Parkinson’s disease (PD) is a neurodegenerative disease in which the neurotransmitter dopamine (DA) depletes due to the progressive loss of nigrostriatal neurons. Therefore, DA measurement might be a useful diagnostic tool for targeting the early stages of PD, as well as helping to optimize DA replacement therapy. Moreover, DA sensing appears to be a useful analytical tool in complex biological systems in PD studies. To support the feasibility of this concept, this mini-review explores the currently developed graphene-based biosensors dedicated to DA detection. We discuss various graphene modifications designed for high-performance DA sensing electrodes alongside their analytical performances and interference studies, which we listed based on their limit of detection in biological samples. Moreover, graphene-based biosensors for optical DA detection are also presented herein. Regarding clinical relevance, we explored the development trends of graphene-based electrochemical sensing of DA as they relate to point-of-care testing suitable for the site-of-location diagnostics needed for personalized PD management. In this field, the biosensors are developed into smartphone-connected systems for intelligent disease management. However, we highlighted that the focus should be on the clinical utility rather than analytical and technical performance.

APA, Harvard, Vancouver, ISO, and other styles

20

Yang, Dehua, Ting Li, Minghan Xu, Feng Gao, Juan Yang, Zhi Yang, and Weidong Le. "Graphene oxide promotes the differentiation of mouse embryonic stem cells to dopamine neurons." Nanomedicine 9, no. 16 (November 2014): 2445–55. http://dx.doi.org/10.2217/nnm.13.197.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

M. Monaco, Antonina, Anastasiya Moskalyuk, Jaroslaw Motylewski, Farnoosh Vahidpour, Andrew M. H. Ng, Kian Ping Loh, Milos Nesládek, and Michele Giugliano. "Coupling (reduced) Graphene Oxide to Mammalian Primary Cortical Neurons In Vitro." AIMS Materials Science 2, no. 3 (2015): 217–29. http://dx.doi.org/10.3934/matersci.2015.3.217.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Li, Xiaolin, Kai Li, Fangxuan Chu, Jie Huang, and Zhuo Yang. "Graphene oxide enhances β-amyloid clearance by inducing autophagy of microglia and neurons." Chemico-Biological Interactions 325 (July 2020): 109126. http://dx.doi.org/10.1016/j.cbi.2020.109126.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Xu, Hongsheng, Xinyu Wang, Xiaomeng Zhang, Jin Cheng, Jixiang Zhang, Min Chen, and Tianshu Wu. "A Deep Learning Analysis Reveals Nitrogen-Doped Graphene Quantum Dots Damage Neurons of Nematode Caenorhabditis elegans." Nanomaterials 11, no. 12 (December 7, 2021): 3314. http://dx.doi.org/10.3390/nano11123314.

Full text

Abstract:

Along with the rapidly increasing applications of nitrogen-doped graphene quantum dots (N-GQDs) in the field of biomedicine, the exposure of N-GQDs undoubtedly pose a risk to the health of human beings, especially in the nervous system. In view of the lack of data from in vivo studies, this study used the nematode Caenorhabditis elegans (C. elegans), which has become a valuable animal model in nanotoxicological studies due to its multiple advantages, to undertake a bio-safety assessment of N-GQDs in the nervous system with the assistance of a deep learning model. The findings suggested that accumulated N-GQDs in the nematodes’ bodies damaged their normal behavior in a dose- and time-dependent manner, and the impairments of the nervous system were obviously severe when the exposure dosages were above 100 μg/mL. When assessing the morphological changes of neurons caused by N-GQDs, a quantitative image-based analysis based on a deep neural network algorithm (YOLACT) was used because traditional image-based analysis is labor-intensive and limited to qualitative evaluation. The quantitative results indicated that N-GQDs damaged dopaminergic and glutamatergic neurons, which are involved in the neurotoxic effects of N-GQDs in the nematode C. elegans. This study not only suggests a fast and economic C. elegans model to undertake the risk assessment of nanomaterials in the nervous system, but also provides a valuable deep learning approach to quantitatively track subtle morphological changes of neurons at an unbiased level in a nanotoxicological study using C. elegans.

APA, Harvard, Vancouver, ISO, and other styles

24

Kim, Mina, Hyun-Jeong Eom, Inhee Choi, Jongki Hong, and Jinhee Choi. "Graphene oxide-induced neurotoxicity on neurotransmitters, AFD neurons and locomotive behavior in Caenorhabditis elegans." NeuroToxicology 77 (March 2020): 30–39. http://dx.doi.org/10.1016/j.neuro.2019.12.011.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Akhavan, Omid, Elham Ghaderi, Elham Abouei, Shadie Hatamie, and Effat Ghasemi. "Accelerated differentiation of neural stem cells into neurons on ginseng-reduced graphene oxide sheets." Carbon 66 (January 2014): 395–406. http://dx.doi.org/10.1016/j.carbon.2013.09.015.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Xu, Shihong, Yu Deng, Jinping Luo, Yaoyao Liu, Enhui He, Yan Yang, Kui Zhang, et al. "A Neural Sensor with a Nanocomposite Interface for the Study of Spike Characteristics of Hippocampal Neurons under Learning Training." Biosensors 12, no. 7 (July 21, 2022): 546. http://dx.doi.org/10.3390/bios12070546.

Full text

Abstract:

Both the cellular- and population-level properties of involved neurons are essential for unveiling the learning and memory functions of the brain. To give equal attention to these two aspects, neural sensors based on microelectrode arrays (MEAs) have been in the limelight due to their noninvasive detection and regulation capabilities. Here, we fabricated a neural sensor using carboxylated graphene/3,4-ethylenedioxythiophene:polystyrenesulfonate (cGO/PEDOT:PSS), which is effective in sensing and monitoring neuronal electrophysiological activity in vitro for a long time. The cGO/PEDOT:PSS-modified microelectrodes exhibited a lower electrochemical impedance (7.26 ± 0.29 kΩ), higher charge storage capacity (7.53 ± 0.34 mC/cm2), and improved charge injection (3.11 ± 0.25 mC/cm2). In addition, their performance was maintained after 2 to 4 weeks of long-term cell culture and 50,000 stimulation pulses. During neural network training, the sensors were able to induce learning function in hippocampal neurons through precise electrical stimulation and simultaneously detect changes in neural activity at multiple levels. At the cellular level, not only were three kinds of transient responses to electrical stimulation sensed, but electrical stimulation was also found to affect inhibitory neurons more than excitatory neurons. As for the population level, changes in connectivity and firing synchrony were identified. The cGO/PEDOT:PSS-based neural sensor offers an excellent tool in brain function development and neurological disease treatment.

APA, Harvard, Vancouver, ISO, and other styles

27

Zheng, Zheng, Libin Huang, Lu Yan, Feng Yuan, Lefeng Wang, Ke Wang, Tom Lawson, Mimi Lin, and Yong Liu. "Polyaniline Functionalized Graphene Nanoelectrodes for the Regeneration of PC12 Cells via Electrical Stimulation." International Journal of Molecular Sciences 20, no. 8 (April 24, 2019): 2013. http://dx.doi.org/10.3390/ijms20082013.

Full text

Abstract:

The regeneration of neurons is an important goal of neuroscience and clinical medicine. The electrical stimulation of cells is a promising technique to meet this goal. However, its efficiency highly depends on the electrochemical properties of the stimulation electrodes used. This work reports on the preparation and use of a highly electroactive and biocompatible nanoelectrode made from a novel polyaniline functionalized graphene composite. This nanocomposite was prepared using a facile and efficient polymerization-enhanced ball-milling method. It was used to stimulate the growth of PC12 cells under various electrical fields. The enhanced growth of axons and improved wound regeneration of PC12 cells were observed after this treatment, suggesting a promising strategy for neuro traumatology.

APA, Harvard, Vancouver, ISO, and other styles

28

Niccolini, Benedetta, Valentina Palmieri, Marco De Spirito, and Massimiliano Papi. "Opportunities Offered by Graphene Nanoparticles for MicroRNAs Delivery for Amyotrophic Lateral Sclerosis Treatment." Materials 15, no. 1 (December 24, 2021): 126. http://dx.doi.org/10.3390/ma15010126.

Full text

Abstract:

Amyotrophic lateral sclerosis (ALS) is characterized by the degeneration and death of motor neurons. This neurodegenerative disease leads to muscle atrophy, paralysis, and death due to respiratory failure. MicroRNAs (miRNAs) are small non-coding ribonucleic acids (RNAs) with a length of 19 to 25 nucleotides, participating in the regulation of gene expression. Different studies have demonstrated that miRNAs deregulation is critical for the onset of a considerable number of neurodegenerative diseases, including ALS. Some studies have underlined how miRNAs are deregulated in ALS patients and for this reason, design therapies are used to correct the aberrant expression of miRNAs. With this rationale, delivery systems can be designed to target specific miRNAs. Specifically, these systems can be derived from viral vectors (viral systems) or synthetic or natural materials, including exosomes, lipids, and polymers. Between many materials used for non-viral vectors production, the two-dimensional graphene and its derivatives represent a good alternative for efficiently delivering nucleic acids. The large surface-to-volume ratio and ability to penetrate cell membranes are among the advantages of graphene. This review focuses on the specific pathogenesis of miRNAs in ALS and on graphene delivery systems designed for gene delivery to create a primer for future studies in the field.

APA, Harvard, Vancouver, ISO, and other styles

29

Bramini, Mattia, Silvio Sacchetti, Andrea Armirotti, Anna Rocchi, Ester Vázquez, Verónica León Castellanos, Tiziano Bandiera, Fabrizia Cesca, and Fabio Benfenati. "Graphene Oxide Nanosheets Disrupt Lipid Composition, Ca2+Homeostasis, and Synaptic Transmission in Primary Cortical Neurons." ACS Nano 10, no. 7 (July 5, 2016): 7154–71. http://dx.doi.org/10.1021/acsnano.6b03438.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Akhavan, Omid, Elham Ghaderi, and Soheil A. Shirazian. "Near infrared laser stimulation of human neural stem cells into neurons on graphene nanomesh semiconductors." Colloids and Surfaces B: Biointerfaces 126 (February 2015): 313–21. http://dx.doi.org/10.1016/j.colsurfb.2014.12.027.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

Kim, Dong Jin, Je Min Yoo, Yeonjoon Suh, Donghoon Kim, Insung Kang, Joonhee Moon, Mina Park, Juhee Kim, Kyung-Sun Kang, and Byung Hee Hong. "Graphene Quantum Dots from Carbonized Coffee Bean Wastes for Biomedical Applications." Nanomaterials 11, no. 6 (May 28, 2021): 1423. http://dx.doi.org/10.3390/nano11061423.

Full text

Abstract:

Recent studies concerning graphene quantum dots (GQDs) focus extensively on their application in biomedicine, exploiting their modifiable optical properties and ability to complex with various molecules via π–π or covalent interactions. Among these nascent findings, the potential therapeutic efficacy of GQDs was reported against Parkinson’s disease, which has to date remained incurable. Herein, we present an environmentally friendly approach for synthesizing GQDs through a waste-to-treasure method, specifically from coffee waste to nanodrug. Consistent with the previous findings with carbon fiber-derived GQDs, the inhibitory effects of coffee bean-derived GQDs demonstrated similar effectiveness against abnormal α-synuclein fibrillation and the protection of neurons from relevant subcellular damages. The fact that a GQDs-based nanodrug can be prepared from a non-reusable yet edible source illustrates a potential approach to convert such waste materials into novel therapeutic agents with minimal psychological rejection by patients.

APA, Harvard, Vancouver, ISO, and other styles

32

Redondo-Gómez, Carlos, Rocío Leandro-Mora, Daniela Blanch-Bermúdez, Christopher Espinoza-Araya, David Hidalgo-Barrantes, and José Vega-Baudrit. "Recent Advances in Carbon Nanotubes for Nervous Tissue Regeneration." Advances in Polymer Technology 2020 (February 11, 2020): 1–16. http://dx.doi.org/10.1155/2020/6861205.

Full text

Abstract:

Regenerative medicine has taken advantage of several nanomaterials for reparation of diseased or damaged tissues in the nervous system involved in memory, cognition, and movement. Electrical, thermal, mechanical, and biocompatibility aspects of carbon-based nanomaterials (nanotubes, graphene, fullerenes, and their derivatives) make them suitable candidates to drive nerve tissue repair and stimulation. This review article focuses on key recent advances on the use of carbon nanotube- (CNT-) based technologies on nerve tissue engineering, outlining how neurons interact with CNT interfaces for promoting neuronal differentiation, growth and network reconstruction. CNTs still represent strong candidates for use in therapies of neurodegenerative pathologies and spinal cord injuries.

APA, Harvard, Vancouver, ISO, and other styles

33

Akhavan, Omid, and Elham Ghaderi. "Flash photo stimulation of human neural stem cells on graphene/TiO2 heterojunction for differentiation into neurons." Nanoscale 5, no. 21 (2013): 10316. http://dx.doi.org/10.1039/c3nr02161k.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Karbalaei Akbari, Mohammad, Nasrin Siraj Lopa, Marina Shahriari, Aliasghar Najafzadehkhoee, Dušan Galusek, and Serge Zhuiykov. "Functional Two-Dimensional Materials for Bioelectronic Neural Interfacing." Journal of Functional Biomaterials 14, no. 1 (January 7, 2023): 35. http://dx.doi.org/10.3390/jfb14010035.

Full text

Abstract:

Realizing the neurological information processing by analyzing the complex data transferring behavior of populations and individual neurons is one of the fast-growing fields of neuroscience and bioelectronic technologies. This field is anticipated to cover a wide range of advanced applications, including neural dynamic monitoring, understanding the neurological disorders, human brain–machine communications and even ambitious mind-controlled prosthetic implant systems. To fulfill the requirements of high spatial and temporal resolution recording of neural activities, electrical, optical and biosensing technologies are combined to develop multifunctional bioelectronic and neuro-signal probes. Advanced two-dimensional (2D) layered materials such as graphene, graphene oxide, transition metal dichalcogenides and MXenes with their atomic-layer thickness and multifunctional capabilities show bio-stimulation and multiple sensing properties. These characteristics are beneficial factors for development of ultrathin-film electrodes for flexible neural interfacing with minimum invasive chronic interfaces to the brain cells and cortex. The combination of incredible properties of 2D nanostructure places them in a unique position, as the main materials of choice, for multifunctional reception of neural activities. The current review highlights the recent achievements in 2D-based bioelectronic systems for monitoring of biophysiological indicators and biosignals at neural interfaces.

APA, Harvard, Vancouver, ISO, and other styles

35

Scalisi, Silvia, Francesca Pennacchietti, Sandeep Keshavan, Nathan D. Derr, Alberto Diaspro, Dario Pisignano, Agnieszka Pierzynska-Mach, Silvia Dante, and Francesca Cella Zanacchi. "Quantitative Super-Resolution Microscopy to Assess Adhesion of Neuronal Cells on Single-Layer Graphene Substrates." Membranes 11, no. 11 (November 15, 2021): 878. http://dx.doi.org/10.3390/membranes11110878.

Full text

Abstract:

Single Layer Graphene (SLG) has emerged as a critically important nanomaterial due to its unique optical and electrical properties and has become a potential candidate for biomedical applications, biosensors, and tissue engineering. Due to its intrinsic 2D nature, SLG is an ideal surface for the development of large-area biosensors and, due to its biocompatibility, can be easily exploited as a substrate for cell growth. The cellular response to SLG has been addressed in different studies with high cellular affinity for graphene often detected. Still, little is known about the molecular mechanism that drives/regulates the cellular adhesion and migration on SLG and SLG-coated interfaces with respect to other substrates. Within this scenario, we used quantitative super-resolution microscopy based on single-molecule localization to study the molecular distribution of adhesion proteins at the nanoscale level in cells growing on SLG and glass. In order to reveal the molecular mechanisms underlying the higher affinity of biological samples on SLG, we exploited stochastic optical reconstruction microscopy (STORM) imaging and cluster analysis, quantifying the super-resolution localization of the adhesion protein vinculin in neurons and clearly highlighting substrate-related correlations. Additionally, a comparison with an epithelial cell line (Chinese Hamster Ovary) revealed a cell dependent mechanism of interaction with SLG.

APA, Harvard, Vancouver, ISO, and other styles

36

Capasso, Andrea, João Rodrigues, Matteo Moschetta, Francesco Buonocore, Giuliana Faggio, Giacomo Messina, Min Jung Kim, et al. "Neuronal Networks: Interactions between Primary Neurons and Graphene Films with Different Structure and Electrical Conductivity (Adv. Funct. Mater. 11/2021)." Advanced Functional Materials 31, no. 11 (March 2021): 2170075. http://dx.doi.org/10.1002/adfm.202170075.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Akhavan, Omid, and Elham Ghaderi. "The use of graphene in the self-organized differentiation of human neural stem cells into neurons under pulsed laser stimulation." Journal of Materials Chemistry B 2, no. 34 (June 19, 2014): 5602. http://dx.doi.org/10.1039/c4tb00668b.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Lee, Sun Young, Heejin Lim, Dae Won Moon, and Jae Young Kim. "Improved ion imaging of slowly dried neurons and skin cells by graphene cover in time-of-flight secondary ion mass spectrometry." Biointerphases 14, no. 5 (September 2019): 051001. http://dx.doi.org/10.1116/1.5118259.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Bin Aminuddin, Noor Aiman, Nurlaila Ismail, Marianah Masrie, and Siti Aishah Mohamad Badaruddin. "Optimization of learning algorithms in multilayer perceptron (MLP) for sheet resistance of reduced graphene oxide thin-film." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 2 (August 1, 2021): 686. http://dx.doi.org/10.11591/ijeecs.v23.i2.pp686-693.

Full text

Abstract:

<div>Multilayer perceptron (MLP) optimization is carried out to investigate the classifier's performance in discriminating the uniformity of reduced Graphene Oxide(rGO) thin-film sheet resistance. This study used three learning algorithms: resilient back propagation (RP), scaled conjugate gradient (SCG) and levenberg-marquardt (LM). The dataset used in this study is the sheet resistance of rGO thin films obtained from MIMOS Bhd. This work involved samples selection from a uniform and non-uniform rGO thin-film sheet resistance. The input and output data were under going data pre-processing: data normalization, data randomization and data splitting. The data were dividedin to three groups; training, validation and testing with a ratio of 70%: 15%: 15%, respectively. A varying number of hidden neurons optimized the learning algorithms in MLP from 1 to 10. Their behavior helped establish the best learning algorithms in discriminating MLP for rGO sheet resistance uniformity. The performances measured were the accuracy of training, validation and testing dataset, mean squared errors (MSE) andepochs. All the analytical work in this study was achieved automatically via MATLAB software version R2018a. It was found that the LM is dominant inthe optimization of a learning algorithm in MLP forrGO sheet resistance.The MSE for LM is the most reduced amid SCG and RP.</div><div> </div>

APA, Harvard, Vancouver, ISO, and other styles

40

Cherian, R. S., J. Ashtami, and P. V. Mohanan. "Corrigendum to “Effect of surface modified reduced graphene oxide nanoparticles on cerebellar granule neurons” [J. Drug Deliv. Sci. Technol. 58 2020 101706]." Journal of Drug Delivery Science and Technology 70 (April 2022): 103143. http://dx.doi.org/10.1016/j.jddst.2022.103143.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Defteralı, Çağla, Raquel Verdejo, Laura Peponi, Eduardo D. Martín, Ricardo Martínez-Murillo, Miguel Ángel López-Manchado, and Carlos Vicario-Abejón. "Thermally reduced graphene is a permissive material for neurons and astrocytes and de novo neurogenesis in the adult olfactory bulb in vivo." Biomaterials 82 (March 2016): 84–93. http://dx.doi.org/10.1016/j.biomaterials.2015.12.010.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Liu, Meili, Zhengtai Jia, Xiongfu Xiao, Zhifa Zhang, Ping Li, Gang Zhou, and Yubo Fan. "Carboxylated graphene oxide promoted axonal guidance growth by activating Netrin-1/deleted in colorectal cancer signaling in rat primary cultured cortical neurons." Journal of Biomedical Materials Research Part A 106, no. 6 (February 13, 2018): 1500–1510. http://dx.doi.org/10.1002/jbm.a.36354.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Alhamoud, Yasmin, Yingying Li, Haibo Zhou, Ragwa Al-Wazer, Yiying Gong, Shuai Zhi, and Danting Yang. "Label-Free and Highly-Sensitive Detection of Ochratoxin A Using One-Pot Synthesized Reduced Graphene Oxide/Gold Nanoparticles-Based Impedimetric Aptasensor." Biosensors 11, no. 3 (March 19, 2021): 87. http://dx.doi.org/10.3390/bios11030087.

Full text

Abstract:

Ochratoxin A (OTA) primarily obtained by the genera aspergillus and penicillium, is one of the toxic substances for different organs and systems of the human body such as the kidney, liver, neurons and the immune system. Moreover, it is considered to cause tumors and fetal malformation even at a very low concentration. Fast and sensitive assay for detection of OTA at ultralow levels in foods and agricultural products has been an increasing demand. In this study, a new label-free electrochemical biosensor based on three-dimensional reduced graphene oxide/gold nanoparticles/aptamer for OTA detection was constructed. The 3D-rGO/Au NPs nanocomposites were firstly synthesized using a one-pot hydrothermal process under optimized experimental conditions. The 3D-rGO/Au NPs with considerable particular surface area and outstanding electrical conductivity was then coated on a glass carbon electrode to provide tremendous binding sites for -SH modified aptamer via the distinctive Au–S linkage. The presence of OTA was specifically captured by aptamer and resulted in electrochemical impedance spectroscopy (EIS) signal response accordingly. The constructed impedimetric aptasensor obtained a broad linear response from 1 pg/mL to 10 ng/mL with an LOD of 0.34 pg/mL toward OTA detection, highlighting the excellent sensitivity. Satisfactory reproducibility was also achieved with the relative standard deviation (RSD) of 1.393%. Moreover, the proposed aptasensor obtained a good recovery of OTA detection in red wine samples within the range of 93.14 to 112.75% along with a low LOD of 0.023 ng/mL, indicating its applicability for OTA detection in real samples along with economical, specific, susceptible, fast, easy, and transportable merits.

APA, Harvard, Vancouver, ISO, and other styles

44

Cohen-Karni, Tzahi. "(Invited) Multi-Modality Input/Output Interfaces with Tissue and Cells Using Nanocarbons." ECS Meeting Abstracts MA2022-01, no. 8 (July 7, 2022): 705. http://dx.doi.org/10.1149/ma2022-018705mtgabs.

Full text

Abstract:

My team’s efforts are focused on three major thrusts: (i) synthesis and in depth mechanistic investigation of the unique emergent optical, thermal, electrical and electrochemical properties of novel hybrid-nanomaterials and nanomaterials topologies composed on one-dimensional and two-dimensional building blocks, (ii) application and characterization of hybrid-nanomaterials interfaces with cells and tissue, and (iii) development and engineering of nanomaterials-based platforms to interrogate and affect the electrical properties of tissue and cells such as cardiomyocytes, and neurons, with a specific focus to understand electrical signal transduction in complex 3D cellular assemblies. Major questions we strive to answer are: Can we make materials and platforms that are tailored to allow seamless and stable integration with cells and tissue enabling sensing and actuation? Can hybrid-nanomaterials allow new insights about biological processes, e.g., tissue development and disease progression? In this talk I will describe our recent efforts in tackling these challenges. Our highly flexible bottom-up nanomaterials synthesis capabilities allow us to form unique hybrid-nanomaterials that can be used in various input/output bioelectrical interfaces, i.e., bioelectrical platforms for chemical and physical sensing and actuation. We developed a breakthrough bioelectrical interface, a 3D self-rolled biosensor arrays (3D-SR-BAs) of either active field effect transistors or passive microelectrodes to measure both cardiac and neural spheroids electrophysiology in 3D. This approach enables electrophysiological investigation and monitoring of the complex signal transduction in 3D cellular assemblies toward an organ-on-an-electronic-chip (organ-on-e-chip) platform for tissue maturation investigations and development of drugs for disease treatment. Utilizing graphene, a two-dimensional (2D) atomically thin carbon allotrope, we demonstrated a new technique to simultaneously record the intracellular electrical activity of multiple excitable cells with ultra-microelectrodes that can be as small as the size as an axon ca. 2µm in size. The outstanding electrochemical properties of our hybrid-nanomaterials allowed us to develop electrical sensors and actuators, e.g., sensors to explore the brain chemistry and sensors/actuators that are deployed in a large volumetric muscle loss animal model. Finally, using the unique optical properties of nanocarbons, e.g., graphene-based hybrid-nanomaterials and 2D nanocarbides (MXene), we have formed remote, non-genetic bioelectrical interfaces with excitable cells and modulated cellular and network activity with high precision and low needed energy. In summary, the exceptional synthetic control and flexible assembly of nanomaterials provide powerful tools for fundamental studies and applications in life science and potentially seamlessly merge nanomaterials-based platforms with cells, fusing nonliving and living systems together.

APA, Harvard, Vancouver, ISO, and other styles

45

Avila, Antonio F., Aline M. de Oliveira, Viviane C. Munhoz, and Glaucio C. Pereira. "Graphene-CNTs into Neuron-Synapse Like Configuration a New Class of Hybrid Nanocomposites." Advanced Materials Research 1119 (July 2015): 116–20. http://dx.doi.org/10.4028/www.scientific.net/amr.1119.116.

Full text

Abstract:

This paper describes the experimental procedures for developing and testing of a new class of hybrid nanocomposites, the neuron-synapse configuration ones. Two carbon based nanostructures, multiwall carbon nanotubes and multi-layered graphene, were incorporated to carbon epoxy laminated. The processing technique employed which includes a combination of sonication and high shear mixing allows the formation of a neuron-synapse nanostructure. X-ray diffractometry indicates that multi-layer graphene (MLG) has an average diameter close to 22 nm. TEM observations and raman spectroscopy revealed a thickness of 10 graphene layers, and a hybrid nanostructure where MWNT interpenetrated the MLG nanostructure. The hybrid nanostructure seems to be linked by Van der Walls bonds. This could be the reason for large crack density generated during short-beam bending tests. No significant stiffness changes were observed in both, tensile and bending, tests, while tensile strength were improved by 19% with 1 wt.% addition of graphene the interlaminar shear strength, was increased by 22% with the addition of MWNTs and 2.5% with the graphene (1 wt.%) and MWNT (0.3 wt.%) together.

APA, Harvard, Vancouver, ISO, and other styles

46

Anirban, Ankita. "Fuzzy graphene for neuron control." Nature Reviews Physics 2, no. 7 (June 15, 2020): 344. http://dx.doi.org/10.1038/s42254-020-0202-8.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Potapov, O. O., O. P. Kmyta, and O. O. Tsyndrenko. "MODERN ASPECTS OF THE USE OF NERVE CONDUCTORS IN PERIPHERAL NERVOUS SYSTEM INJURY." Eastern Ukrainian Medical Journal 8, no. 2 (2020): 137–44. http://dx.doi.org/10.21272/eumj.2020;8(2):137-144.

Full text

Abstract:

Peripheral nerve injuries account for 4 % of all injuries, and the consequences of trauma are a major medical and social problem, since they are characterized by a significant and long-term decline in limb function, and a high level of disability in patients. According to our data, up to 40% of patients sought specialized care for more than 6 months after the injury, and 19.9% were treated conservatively for an unreasonably long period of time. It led to an increase in the portion of unsatisfactory treatment results, since the prognosis of the further functional and useful degree of nerve recovery worsens with increasing time after injury. The main objective was to select the optimal option of biocompatible material for implementation in practice in case of traumatic peripheral nerve damage. Materials and methods. The analysis of medical literature for 2015–2020 was conducted. First of all, it should be noted that modern non-biological resorbable tubes are made of polyglycolic and polylactic acids. Non-resorbable tubes, including silicone, have shown undesirable effects, including axon compression during regeneration and the reaction of a fibrous foreign body. Hollow cylindrical tubes can be manufactured in several ways, such as electrospinning, crosslinking, physical film rolling, injection molding, melt extrusion, and braiding. Adequate surgical treatment of peripheral nerve injuries requires that the surgeon, in addition to an accurate knowledge of the anatomical details of the affected area, would also be familiar with microsurgical methods and had necessary equipment to operate. The main procedure in peripheral nerve surgery is the restoration of nerve continuity, which can be obtained by direct coaptation between the two ends of a severed nerve or by the introduction of nerve grafts to replace a defect in nerve tissue. Polyester is the most common synthetic material used in neural tissue engineering, along with polylactic acid, polycaprolactone, and polyglycolic acid. In combination with mesenchymal stem cells of the bone marrow, polylactic acid showed better results and accelerated the recovery of peripheral nerves. Polylactic acid directed the migration of Schwann's cells and induced the formation of a normal nervous structure. It was proved that the polycaprolactone material had an effect similar to that of autografts in nerve repair, and its characteristics were better than in a polylactic acid tube. Polyglycolic acid also possesses sufficient mechanical properties and can be used to repair a nerve defect. Artificial synthetic materials have good biocompatibility and biodegradability with minimal toxicity. For the production of high-purity polymer monomers, which are necessary for the manufacture of the frame, much time and financial costs are required. Moreover, the elasticity and hardness of such materials are imperfect. Three main natural biomaterials are used in tissue repair: collagen, silk, and gelatin. Collagen tube is the most widely used biological material in clinical practice. Silk materials with the protein fibroin, which promote the release of certain substrates, such as nerve growth factor particles, and provide more nutrients and a more favorable microenvironment for nerve repair, are worth noticing. Silk fibroin has good compatibility with the neurons of the dorsal root ganglia and supports cell growth. Gelatin materials are preferred due to the reduction of micromanipulation during nerve recovery. Natural biomaterials are easy to obtain in sufficient quantities; they have good biocompatibility and biodegradability and are easily absorbed by the body. However, each natural biomaterial has its drawbacks. Some of them are brittle or break down in a humid environment. Some natural materials are insoluble in water and traditional organic solvents, which limits their use. One of the most widely used biopolymers of natural origin is chitosan. Chitosan, derived by chitin deacetylation, plays a supporting, protective, and guiding role in the early stage of recovery of peripheral nerves and can provide a relatively stable, localized microenvironment during regeneration. Chitosan is absorbed and gradually decomposed in the late phase of recovery and regeneration of the nervous system. Issues regarding graphene-based nanomaterials use are considered. Graphene is a two-dimensional carbon nanomaterial with good optical, electrical and mechanical properties. It should be noted that when graphene nanoparticles incorporate into a chitosan or gelatin frame and are used to repair peripheral nerve damage in rats, this has contributed to the regeneration of the damaged nerve more quickly. Graphene also reduced the inflammatory response and accelerated the migration of endogenous neuroblasts. Hence, the use of these materials is not well understood due to the significant duration of recovery of the denervated proximal end of the nerve, so further research is needed to identify the advantages or disadvantages of their use.

APA, Harvard, Vancouver, ISO, and other styles

48

Simonovic, Jelena, Bosko Toljic, Milos Lazarevic, Maja Milosevic Markovic, Mina Peric, Jasna Vujin, Radmila Panajotovic, and Jelena Milasin. "The Effect of Liquid-Phase Exfoliated Graphene Film on Neurodifferentiation of Stem Cells from Apical Papilla." Nanomaterials 12, no. 18 (September 8, 2022): 3116. http://dx.doi.org/10.3390/nano12183116.

Full text

Abstract:

Background: Dental stem cells, which originate from the neural crest, due to their easy accessibility might be good candidates in neuro-regenerative procedures, along with graphene-based nanomaterials shown to promote neurogenesis in vitro. We aimed to explore the potential of liquid-phase exfoliated graphene (LPEG) film to stimulate the neuro-differentiation of stem cells from apical papilla (SCAP). Methods: The experimental procedure was structured as follows: (1) fabrication of graphene film; (2) isolation, cultivation and SCAP stemness characterization by flowcytometry, multilineage differentiation (osteo, chondro and adipo) and quantitative PCR (qPCR); (3) SCAP neuro-induction by cultivation on polyethylene terephthalate (PET) coated with graphene film; (4) evaluation of neural differentiation by means of several microscopy techniques (light, confocal, atomic force and scanning electron microscopy), followed by neural marker gene expression analysis using qPCR. Results: SCAP demonstrated exceptional stemness, as judged by mesenchymal markers’ expression (CD73, CD90 and CD105), and by multilineage differentiation capacity (osteo, chondro and adipo-differentiation). Neuro-induction of SCAP grown on PET coated with graphene film resulted in neuron-like cellular phenotype observed under different microscopes. This was corroborated by the high gene expression of all examined key neuronal markers (Ngn2, NF-M, Nestin, MAP2, MASH1). Conclusions: The ability of SCAPs to differentiate toward neural lineages was markedly enhanced by graphene film.

APA, Harvard, Vancouver, ISO, and other styles

49

Fischer, Rachel A., Yuchen Zhang, Michael L. Risner, Deyu Li, Yaqiong Xu, and Rebecca M. Sappington. "Impact of Graphene on the Efficacy of Neuron Culture Substrates." Advanced Healthcare Materials 7, no. 14 (June 25, 2018): 1701290. http://dx.doi.org/10.1002/adhm.201701290.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Veliev, Farida, Alessandro Cresti, Dipankar Kalita, Antoine Bourrier, Tiphaine Belloir, Anne Briançon-Marjollet, Mireille Albrieux, Stephan Roche, Vincent Bouchiat, and Cécile Delacour. "Sensing ion channel in neuron networks with graphene field effect transistors." 2D Materials 5, no. 4 (September 3, 2018): 045020. http://dx.doi.org/10.1088/2053-1583/aad78f.

Full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!