A5102009072- Advanced Memory and Neural Computing
- Nanopore and Nanochannel Transport Studies
- Analytical Chemistry and Sensors
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Electrochemical Analysis and Applications
- Microfluidic and Capillary Electrophoresis Applications
- Advanced biosensing and bioanalysis techniques
- Conducting polymers and applications
- Electrochemical sensors and biosensors
- Membrane-based Ion Separation Techniques
- Fuel Cells and Related Materials
- Electrocatalysts for Energy Conversion
- Advancements in Battery Materials
- Catalysis for Biomass Conversion
- Catalytic Processes in Materials Science
- Supercapacitor Materials and Fabrication
- Metal-Organic Frameworks: Synthesis and Applications
- Polymer Surface Interaction Studies
- Electrostatics and Colloid Interactions
- Organic Electronics and Photovoltaics
- Ferroelectric and Negative Capacitance Devices
- CO2 Reduction Techniques and Catalysts
- Neural dynamics and brain function
- Lignin and Wood Chemistry
Chinese Academy of Sciences
2018-2025
Beijing National Laboratory for Molecular Sciences
2019-2025
University of Chinese Academy of Sciences
2018-2025
Jiangxi Normal University
2023
Center for Excellence in Education
2021
South China Agricultural University
2019
Zhejiang University
2014-2016
Hangzhou Academy of Agricultural Sciences
2015
Novel (United States)
2014-2015
Hangzhou Xixi hospital
2014
A simple and universal methodology for carbon materials derived from biomass with a hierarchical structure is described.
Porous carbon materials stemming from biomass have drawn increasing interest because of their sustainable properties. Cellulose, hemicellulose, and lignin are the three basic components crude biomass, were investigated to reveal influence on derived carbonaceous materials. Huge amounts oxygen-containing functional groups in cellulose hemicellulose tend be eliminated as H2O, CO2, CO give micropores during pyrolysis, whereas contains plentiful aromatic units which chemically inert, thus...
Reproducing ion channel-based neural functions with artificial fluidic systems has long been an aspirational goal for both neuromorphic computing and biomedical applications. In this study, were successfully accomplished a polyelectrolyte-confined memristor (PFM), in which confined polyelectrolyte-ion interactions contributed to hysteretic transport, resulting memory effects. Various electric pulse patterns emulated by PFM ultralow energy consumption. The property of enabled the mimicking...
Developing techniques for the highly sensitive assay of neurotransmitters is essential understanding physiological and pathological processes. Here, we demonstrate a fast-scanning potential (FSP)-gated organic electrochemical transistor (OECT): sensing dopamine (DA) in living rat brain. The configuration combines selectivity fast-scan cyclic voltammetry (FSCV) with high sensitivity an OECT. combined use FSP as gating mode transconductance (gm ) parameter further improve performance terms...
Biological ion channels regulate the flow across cell membrane via opening or closing of pores in response to various external stimuli. Replicating function high gating effects with artificial porous materials has been challenging. Herein, we report that self-assembled two-dimensional metal-organic framework (MOF) can serve as an excellent nanofluidic platform for smart regulation transport. The MOF good photothermal performance exhibits extremely ratio (up 104 ), which is among highest...
Pd supported on N-doped hierarchically porous carbon was successfully applied in the selective hydrogenation of CC bonds.
The incorporation of nitrogen makes Pd@CN exhibit superior catalytic activity towards ethanol oxidation to Pd@AC and Pd@HC.
Iontronic sensors based on confined space have garnered significant attention due to their promising applications, ranging from single-cell analysis in vivo studies. However, limited sensitivity has constrained effectiveness studying molecular information during physiological and pathological processes. Here, we demonstrate an electrolyte-gated ionic transistor (EGIT) by integrating the ion transport behavior a double-barreled micropipet with configuration, achieving highly sensitive...
Understanding the real-time correlation between chemical patterns and neural processes is critical for deciphering brain function. Voltammetry has enabled this task but with a number of challenges current-based electrolysis in vivo. Herein, we report galvanic redox potentiometry (GRP) potentially as universal strategy vivo monitoring neurochemicals, ascorbic acid (AA) typical example. The GRP sensor constructed on self-driven cell configuration, where AA spontaneously oxidized at indicating...
Ion transport has been widely used for various applications such as sensing, desalination and energy conversion; however, nearly all are based on steady-state ion transport. Herein, we the first time demonstrate capability of transient in vivo sensing with both high spatial (∼μm) temporal (∼ms) resolution by using pH model target. Transient behavior (i.e., time-dependent current change) was observed applying high-frequency pulse potential. Importantly, proposed distribution this behavior....
ADVERTISEMENT RETURN TO ISSUEPREVReviewNEXTIontronic Sensing Based on Confined Ion TransportSaud Asif AhmedSaud AhmedBeijing National Laboratory for Molecular Science, CAS Key of Analytical Chemistry Living Biosystems, Institute Chemistry, Chinese Academy Sciences, Beijing 100190, ChinaMore by Saud AhmedView BiographyView Biography, Ying LiuYing LiuBeijing ChinaUniversity Liu, Tianyi XiongTianyi XiongBeijing Xiong, Yueru ZhaoYueru ZhaoBeijing Zhao, Boyang XieBoyang XieBeijing Xie, Cong...
Proton conductors have attracted great attention in various fields, especially energy production. Here, we find that graphdiyne oxide (GDYO), derived from (GDY), features the highest proton conductivity of 0.54 S cm-1 (100 % RH, 348 K) among oxidized carbon allotropes reported so far. The sp- and sp2 -co-hybridized skeleton GDY enables GDYO with giant water uptake, which is 2.4 times larger than graphene (GO), resulting ultrahigh by increasing concentration conduction pathways. This further...
The fluidic memristor has attracted growing attention as a promising candidate for neuromorphic computing and brain-computer interfaces. However, with ion selectivity that of natural channels remains key challenge. Herein, inspired by the structure biomembranes, we developed an ion-shuttling (ISM) utilizing organic solvents artificial carriers to emulate embedded in which exhibited both functions selectivity. Pinched hysteresis I-V loop curve, scan rate dependency, distinctive impedance...
Understanding the dynamic behavior of charged particles driven by flow and electric field in nanochannels/pores is highly important for both fundamental study practical applications. While a great breakthrough has been made understanding translocation dynamics within nanochannels/pores, studies on at orifice are scarcely reported. Here, we particle motion smaller-sized nanopipette combining experimentally observed current transients with simulated force conditions. The theoretical analysis...
Nanofluidic ionic diodes have attracted much attention, because of the unique property asymmetric ion transport and promising applications in molecular sensing biosensing. However, it remains a challenge to fabricate diode-like nanofluidic system with molecular-size pores. Herein, we report new facile approach construct diode by situ growth metal–organic frameworks (MOFs) nanochannels. We implement microwave-assisted strategy obtain distribution MOFs porous anodic aluminum oxide barrier...
Abstract Developing techniques for the highly sensitive assay of neurotransmitters is essential understanding physiological and pathological processes. Here, we demonstrate a fast‐scanning potential (FSP)‐gated organic electrochemical transistor (OECT): sensing dopamine (DA) in living rat brain. The configuration combines selectivity fast‐scan cyclic voltammetry (FSCV) with high sensitivity an OECT. combined use FSP as gating mode transconductance ( g m ) parameter further improve...
The sensors based on ion transport in a confined nano-/microchannel (i.e., iontronic sensors) have brought new opportunities for vivo neurochemical assay, especially electroinactive molecules. However, the interference spontaneous neuronal activity induced by electric field around has not been addressed. Here, distribution with double-barreled micropipette was shrunk and quantified finite element simulation, which can explain minimize influence activity. parameters affecting distribution,...