The Experts below are selected from a list of 46167 Experts worldwide ranked by ideXlab platform
Zhong Lin Wang - One of the best experts on this subject based on the ideXlab platform.
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quantifying contact electrification induced charge transfer on a Liquid Droplet after contacting with a Liquid or solid
Advanced Materials, 2021Co-Authors: Zhen Tang, Shiquan Lin, Zhong Lin WangAbstract:Contact electrification (CE) is a common physical phenomenon, and its mechanisms for solid-solid and Liquid-solid cases have been widely discussed. However, the studies about Liquid-Liquid CE are hindered by the lack of proper techniques. Here, a contactless method is proposed for quantifying the charges on a Liquid Droplet based on the combination of electric field and acoustic field. The Liquid Droplet is suspended in an acoustic field, and an electric field force is created on the Droplet to balance the acoustic trap force. The amount of charges on the Droplet is thus calculated based on the equilibrium of forces. Further, the Liquid-solid and Liquid-Liquid CE are both studied by using the method, and the latter is focused. The behavior of negatively precharged Liquid Droplet in the Liquid-Liquid CE is found to be different from that of the positively precharged one. The results show that the silicone oil Droplet prefers to receive negative charges from a negatively charged aqueous Droplet rather than positive charges from a positively charged aqueous Droplet, which provides a strong evidence about the dominant role played by electron transfer in the Liquid-Liquid CE.
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electron transfer as a Liquid Droplet contacting a polymer surface
ACS Nano, 2020Co-Authors: Fei Zhan, Shiquan Lin, Zhong Lin Wang, Xiangyu Chen, Aurelia Chi Wang, Jiajia ShaoAbstract:It has been demonstrated that substantial electric power can be produced by a Liquid-based triboelectric nanogenerator (TENG). However, the mechanisms regarding the electrification between a Liquid and a solid surface remain to be extensively investigated. Here, the working mechanism of a Droplet-TENG was proposed based on the study of its dynamic saturation process. Moreover, the charge-transfer mechanism at the Liquid-solid interface was verified as the hybrid effects of electron transfer and ion adsorption by a simple but valid method. Thus, we proposed a model for the charge distribution at the Liquid-solid interface, named Wang's hybrid layer, which involves the electron transfer, the ionization reaction, and the van der Waals force. Our work not only proves that TENG is a probe for investigating charge transfer at interface of all phases, such as solid-solid and Liquid-solid, but also may have great significance to water energy harvesting and may revolutionize the traditional understanding of the Liquid-solid interface used in many fields such as electrochemistry, catalysis, colloidal science, and even cell biology.
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power generation from the interaction of a Liquid Droplet and a Liquid membrane
Nature Communications, 2019Co-Authors: Jinhui Nie, Zhong Lin Wang, Ziming Wang, Zewei Ren, Xiangyu ChenAbstract:Triboelectric nanogenerators are an energy harvesting technology that relies on the coupling effects of contact electrification and electrostatic induction between two solids or a Liquid and a solid. Here, we present a triboelectric nanogenerator that can work based on the interaction between two pure Liquids. A Liquid–Liquid triboelectric nanogenerator is achieved by passing a Liquid Droplet through a freely suspended Liquid membrane. We investigate two kinds of Liquid membranes: a grounded membrane and a pre-charged membrane. The falling of a Droplet (about 40 μL) can generate a peak power of 137.4 nW by passing through a pre-charged membrane. Moreover, this membrane electrode can also remove and collect electrostatic charges from solid objects, indicating a permeable sensor or charge filter for electronic applications. The Liquid–Liquid triboelectric nanogenerator can harvest mechanical energy without changing the object motion and it can work for many targets, including raindrops, irrigation currents, microfluidics, and tiny particles. Triboelectric nanogenerators harvest energy by contacting two solids or a Liquid and a solid. Here the authors use a conductive Liquid membrane as a permeable electrode to demonstrate triboelectrification via Liquid–Liquid contact by passing Liquid Droplets through a Liquid membrane to generate power.
Ellen A A Nollen - One of the best experts on this subject based on the ideXlab platform.
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observation of an α synuclein Liquid Droplet state and its maturation into lewy body like assemblies
Journal of Molecular Cell Biology, 2021Co-Authors: Maarten C Hardenberg, Tessa Sinnige, Sam Casford, Samuel T Dada, Chetan Poudel, Elizabeth A Robinson, Monika Fuxreiter, Clemens Kaminksi, Gabriele Kaminski S Schierle, Ellen A A NollenAbstract:Misfolded α-synuclein is a major component of Lewy bodies, which are a hallmark of Parkinson's disease (PD). A large body of evidence shows that α-synuclein can aggregate into amyloid fibrils, but the relationship between α-synuclein self-assembly and Lewy body formation remains unclear. Here, we show, both in vitro and in a Caenorhabditis elegans model of PD, that α-synuclein undergoes Liquid‒Liquid phase separation by forming a Liquid Droplet state, which converts into an amyloid-rich hydrogel with Lewy-body-like properties. This maturation process towards the amyloid state is delayed in the presence of model synaptic vesicles in vitro. Taken together, these results suggest that the formation of Lewy bodies may be linked to the arrested maturation of α-synuclein condensates in the presence of lipids and other cellular components.
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observation of an α synuclein Liquid Droplet state and its maturation into lewy body like assemblies
bioRxiv, 2020Co-Authors: Maarten C Hardenberg, Tessa Sinnige, Sam Casford, Samuel T Dada, Chetan Poudel, Monika Fuxreiter, Clemens Kaminksi, Gabriele Kaminski S Schierle, Lizzy Robinson, Ellen A A NollenAbstract:Misfolded α-synuclein is a major component of Lewy bodies, which are a hallmark of Parkinson9s disease. A large body of evidence shows that α-synuclein can self-assemble into amyloid fibrils, but the relationship between amyloid formation and Lewy body formation still remains unclear. Here we show, both in vitro and in a C. elegans model of Parkinson9s disease, that α-synuclein undergoes Liquid-Liquid phase separation by forming a Liquid Droplet state, which converts into an amyloid-rich hydrogel. This maturation process towards the amyloid state is delayed in the presence of model synaptic vesicles in vitro. Taken together, these results suggest that the formation of Lewy bodies is linked to the arrested maturation of α-synuclein condensates in the presence of lipids and other cellular components.
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Observation of an α-1synuclein Liquid Droplet state and its maturation into Lewy body-like assemblies
Journal of Molecular Cell Biology, 2020Co-Authors: Hardenberg, Maarten C, Sinnige Tessa, Casford Sam, Dada Samuel, Poudel Chetan, Robinson, Elizabeth A, Fuxreiter Monika, Kaminski Clemens, Kaminski Gabriele, Ellen A A NollenAbstract:Misfolded a-synuclein is a major component of Lewy bodies, which are a hallmark of Parkinson’s disease. A large body of evidence shows that a-synuclein can aggregate into amyloid fibrils, but the relationship between a-synuclein self-assembly and Lewy body formation remains unclear. Here we show, both in vitro and in a C. elegans model of Parkinson’s disease, that a-synuclein undergoes Liquid-Liquid phase separation by forming a Liquid Droplet state, which converts into an amyloid-rich hydrogel with Lewy-body-like properties. This maturation process towards the amyloid state is delayed in the presence of model synaptic vesicles in vitro. Taken together, these results suggest that the formation of Lewy bodies may be linked to the arrested maturation of a-synuclein condensates in the presence of lipids and other cellular components.Wellcome Trust (065807/Z/01/Z) (203249/Z/16/Z). Also, the UK Medical Research Council (MRC) (MR/K02292X/1), Alzheimer Research UK (ARUK) (ARUK-PG013-14), Michael J Fox Foundation (16238) and from Infinitus China Ltd
Lei Jiang - One of the best experts on this subject based on the ideXlab platform.
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switchable wettability and adhesion of micro nanostructured elastomer surface via electric field for dynamic Liquid Droplet manipulation
Advanced Science, 2020Co-Authors: Liwu Liu, Dongliang Tian, Xiaofang Zhang, Lei Jiang, Na Zhang, Yufeng Yan, Qiuya Zhang, Yanju Liu, Jinsong LengAbstract:Dynamic control of Liquid wetting behavior on smart surfaces has attracted considerable concern owing to their important applications in directional motion, confined wetting and selective separation. Despite much progress in this regard, there still remains challenges in dynamic Liquid Droplet manipulation with fast response, no loss and anti-contamination. Herein, a strategy to achieve dynamic Droplet manipulation and transportation on the electric field adaptive superhydrophobic elastomer surface is demonstrated. The superhydrophobic elastomer surface is fabricated by combining the micro/nanostructured clusters of hydrophobic TiO2 nanoparticles with the elastomer film, on which the micro/nanostructure can be dynamically and reversibly tuned by electric field due to the electric field adaptive deformation of elastomer film. Accordingly, fast and reversible transition of wetting state between Cassie state and Wenzel state and tunable adhesion on the surface via electric field induced morphology transformation can be obtained. Moreover, the motion states of the surface Droplets can be controlled dynamically and precisely, such as jumping and pinning, catching and releasing, and controllable Liquid transfer without loss and contamination. Thus this work would open the avenue for dynamic Liquid manipulation and transportation, and gear up the broad application prospects in Liquid transfer, selective separation, anti-fog, anti-ice, microfluidics devices, etc.
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electric field and gradient microstructure for cooperative driving of directional motion of underwater oil Droplets
Advanced Functional Materials, 2016Co-Authors: Dongliang Tian, Xiaofang Zhang, Lei Jiang, Linlin He, Na Zhang, Xi ZhengAbstract:Driving a Liquid Droplet with control of directional motion on a solid surface, by introducing a surface wettability gradient or external stimuli, has attracted considerable research attention. There still remain challenges, however, due to the slow response rate and slow speed of continuous Liquid Droplet motion on the structured surface. Here, an approach to continuously drive the underwater oil Droplet with control of directional motion by the cooperative effects of an electric field and the gradient of a porous polystyrene microstructure is demonstrated. The gradient microstructure induces the Liquid Droplet to take on an asymmetrical shape, causing unbalanced pressure on both ends to orient the Droplet for motion in a particular direction. Meanwhile, the electric field decreases the contact area and the corresponding viscous drag between the Droplet and the gradient-structured surface. Then, the unbalanced pressure pushes the underwater oil Droplet to move directionally and continuously at a certain voltage. This work provides a new strategy to control underwater oil Droplets and realize unidirectional motion. It is also promising for the design of new smart interface materials for applications such as electrofluidic displays, biological cell and particle manipulation, and other types of microfluidic devices.
Masaaki Komatsu - One of the best experts on this subject based on the ideXlab platform.
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NBR1-mediated p62-Liquid Droplets enhance the Keap1-Nrf2 system.
EMBO reports, 2020Co-Authors: Pablo Sánchez-martín, Shun Kageyama, Yu-shin Sou, Masato Koike, Satoshi Waguri, Masaaki KomatsuAbstract:p62/SQSTM1 is a multivalent protein that has the ability to cause Liquid-Liquid phase separation and serves as a receptor protein that participates in cargo isolation during selective autophagy. This protein is also involved in the non-canonical activation of the Keap1-Nrf2 system, a major oxidative stress response pathway. Here, we show a role of neighbor of BRCA1 gene 1 (NBR1), an autophagy receptor structurally similar to p62/SQSTM1, in p62-Liquid Droplet formation and Keap1-Nrf2 pathway activation. Overexpression of NBR1 blocks selective degradation of p62/SQSTM1 through autophagy and promotes the accumulation and phosphorylation of p62/SQSTM1 in Liquid-like bodies, which is required for the activation of Nrf2. NBR1 is induced in response to oxidative stress, which triggers p62-mediated Nrf2 activation. Conversely, loss of Nbr1 suppresses not only the formation of p62/SQSTM1-Liquid Droplets, but also of p62-dependent Nrf2 activation during oxidative stress. Taken together, our results show that NBR1 mediates p62/SQSTM1-Liquid Droplet formation to activate the Keap1-Nrf2 pathway.
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NBR1-mediated p62-Liquid Droplets enhance the Keap1-Nrf2 system
2019Co-Authors: Masaaki Komatsu, Pablo Sánchez-martín, Shun Kageyama, Yu-shin SouAbstract:p62/SQSTM1 is a multivalent protein that has an ability to cause a Liquid-Liquid phase separation and serves as a receptor protein that participates in cargo isolation during selective autophagy. This protein is also involved in the non-canonical activation of the Keap1-Nrf2 system, a major oxidative stress response pathway. Here we show a role of Neighbor of BRCA1 gene 1 (NBR1), an autophagy receptor structurally similar to p62/SQSTM1, in the p62-Liquid Droplet formation and the Keap1-Nrf2 pathway. The overexpression of NBR1 blocked selective degradation of p62/SQSTM1 through autophagy and promoted the accumulation and phosphorylation of p62/SQSTM1 in Liquid-like bodies, which is required for the activation of Nrf2. NBR1 was induced in response to oxidative stress, and then the p62-mediated Nrf2 activation was up-regulated. Conversely, loss of Nbr1 suppresses not only the formation of p62/SQSTM1-Liquid Droplets but also p62-dependent Nrf2 activation during oxidative stress. Taken together, our results show that NBR1 mediates p62/SQSTM1-Liquid Droplet formation to activate the Keap1-Nrf2 pathway.
Pratyush Tiwary - One of the best experts on this subject based on the ideXlab platform.
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reaction coordinates and rate constants for Liquid Droplet nucleation quantifying the interplay between driving force and memory
Journal of Chemical Physics, 2019Co-Authors: Sunting Tsai, Zachary Smith, Pratyush TiwaryAbstract:In this work, we revisit the classic problem of homogeneous nucleation of a Liquid Droplet in a supersaturated vapor phase. We consider this at different extents of the driving force, or equivalently the supersaturation, and calculate a reaction coordinate (RC) for nucleation as the driving force is varied. The RC is constructed as a linear combination of three order parameters, where one accounts for the number of Liquidlike atoms and the other two for local density fluctuations. The RC is calculated from biased and unbiased molecular dynamics (MD) simulations using the spectral gap optimization approach “SGOOP” [P. Tiwary and B. J. Berne, Proc. Natl. Acad. Sci. U. S. A. 113, 2839 (2016)]. Our key finding is that as the supersaturation decreases, the RC ceases to simply be the number of Liquidlike atoms, and instead, it becomes important to explicitly consider local density fluctuations that correlate with shape and density variations in the nucleus. All three order parameters are found to have similar barriers in their respective potentials of mean force; however, as the supersaturation decreases, the density fluctuations decorrelate slower and thus carry longer memory. Thus, at lower supersaturations, density fluctuations are non-Markovian and cannot be simply ignored from the RC by virtue of being noise. Finally, we use this optimized RC to calculate nucleation rates in the infrequent metadynamics framework and show that it leads to a more accurate estimate of the nucleation rate with four orders of magnitude acceleration relative to unbiased MD.In this work, we revisit the classic problem of homogeneous nucleation of a Liquid Droplet in a supersaturated vapor phase. We consider this at different extents of the driving force, or equivalently the supersaturation, and calculate a reaction coordinate (RC) for nucleation as the driving force is varied. The RC is constructed as a linear combination of three order parameters, where one accounts for the number of Liquidlike atoms and the other two for local density fluctuations. The RC is calculated from biased and unbiased molecular dynamics (MD) simulations using the spectral gap optimization approach “SGOOP” [P. Tiwary and B. J. Berne, Proc. Natl. Acad. Sci. U. S. A. 113, 2839 (2016)]. Our key finding is that as the supersaturation decreases, the RC ceases to simply be the number of Liquidlike atoms, and instead, it becomes important to explicitly consider local density fluctuations that correlate with shape and density variations in the nucleus. All three order parameters are found to have similar b...
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reaction coordinates and rate constants for Liquid Droplet nucleation quantifying the interplay between driving force and memory
arXiv: Computational Physics, 2019Co-Authors: Sunting Tsai, Zachary Smith, Pratyush TiwaryAbstract:In this work we revisit the classic problem of homogeneous nucleation of a Liquid Droplet in a supersaturated vapor phase. We consider this at different extents of the driving force, which here is the extent of supersaturation, and calculate a reaction coordinate (RC) for nucleation as the driving force is varied. The RC is constructed as a linear combination of three order parameters, where one accounts for the number of Liquid-like atoms, and the other two for local density fluctuations. The RC is calculated from all-atom biased and unbiased molecular dynamics (MD) simulations using the spectral gap optimization approach "SGOOP" [P. Tiwary and B. J. Berne, Proc. Natl. Acad. Sci. U. S. A. 113, 2839 (2016)]. Our key finding is that as the supersaturation decreases, the RC ceases to simply be the number of Liquid-like atoms, and instead it becomes important to explicitly consider local density fluctuations that correlate with shape and density variations in the nucleus. All three order parameters are found to have similar barriers in their respective potentials of mean force, however, as the supersaturation decreases the density fluctuations decorrelate slower and thus carry longer memory. Thus at lower supersaturations density fluctuations are non-Markovian and can not be simply ignored from the RC by virtue of being noise. Finally, we use this optimized RC to calculate nucleation rates in the infrequent metadynamics framework, and show it leads to more accurate estimate of the nucleation rate with four orders of magnitude acceleration relative to unbiased MD.
