Intratumoral Nanofluidic System for Enhancing Tumor Biodistribution of Agonist CD40 Antibody

2020 ◽  
Vol 3 (10) ◽  
pp. 2000055 ◽  
Author(s):  
Corrine Ying Xuan Chua ◽  
Jeremy Ho ◽  
Antonia Susnjar ◽  
Graziano Lolli ◽  
Nicola Di Trani ◽  
...  
Keyword(s):  
Nanofluidic System

scholarly journals Covalent organic framework nanofluidic membrane as a platform for highly sensitive bionic thermosensation

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Pengcheng Zhang ◽  
Sifan Chen ◽  
Changjia Zhu ◽  
Linxiao Hou ◽  
Weipeng Xian ◽  
...  
Keyword(s):  
Thermal Sensation ◽  
Biological Response ◽  
Covalent Organic Framework ◽  
Physiological Processes ◽  
Potential Applicability ◽  
Continuous Potential ◽  
Temperature Stimulus ◽  
Nanofluidic System ◽  
Response To Temperature ◽  
Organic Framework

AbstractThermal sensation, which is the conversion of a temperature stimulus into a biological response, is the basis of the fundamental physiological processes that occur ubiquitously in all organisms from bacteria to mammals. Significant efforts have been devoted to fabricating artificial membranes that can mimic the delicate functions of nature; however, the design of a bionic thermometer remains in its infancy. Herein, we report a nanofluidic membrane based on an ionic covalent organic framework (COF) that is capable of intelligently monitoring temperature variations and expressing it in the form of continuous potential differences. The high density of the charged sites present in the sub-nanochannels renders superior permselectivity to the resulting nanofluidic system, leading to a high thermosensation sensitivity of 1.27 mV K−1, thereby outperforming any known natural system. The potential applicability of the developed system is illustrated by its excellent tolerance toward a broad range of salt concentrations, wide working temperatures, synchronous response to temperature stimulation, and long-term ultrastability. Therefore, our study pioneers a way to explore COFs for mimicking the sophisticated signaling system observed in the nature.

Molecular dynamics simulation of a nanofluidic energy absorption system: effects of the chiral vector of carbon nanotubes

2018 ◽  
Vol 20 (7) ◽  
pp. 5140-5148 ◽  
Author(s):  
Sayed Hossein Ganjiani ◽  
Alireza Hossein Nezhad
Keyword(s):  
Carbon Nanotubes ◽  
Molecular Dynamics ◽  
Molecular Dynamics Simulation ◽  
Energy Absorption ◽  
Small Volume ◽  
Dynamics Simulation ◽  
Absorption System ◽  
Chiral Vector ◽  
Nanofluidic System

A Nanofluidic Energy Absorption System (NEAS) is a novel nanofluidic system with a small volume and weight.

Intelligent computing for the dynamics of entropy optimized nanofluidic system under impacts of MHD along thick surface

2021 ◽  
pp. 2150269
Author(s):  
M. Asif Zahoor Raja ◽  
M. Shoaib ◽  
Rafia Tabassum ◽  
M. Ijaz Khan ◽  
R. J. Punith Gowda ◽  
...  
Keyword(s):  
Mean Squared Error ◽  
Fluid Motion ◽  
Lewis Number ◽  
Index Formula ◽  
Brownian Diffusion ◽  
Intelligent Computing ◽  
Similarity Transformations ◽  
Computing Paradigm ◽  
Numerical Solver ◽  
Nanofluidic System

This article examines entropy production (EP) of magneto-hydrodynamics viscous fluid flow model (MHD-VFFM) subject to a variable thickness surface with heat sink/source effect by utilizing the intelligent computing paradigm via artificial Levenberg–Marquardt back propagated neural networks (ALM-BPNNs). The governing partial differential equations (PDEs) of MHD-VFFM are transformed into ODEs by applying suitable similarity transformations. The reference dataset is obtained from Adam numerical solver by the variation of Hartmann number (Ha), thickness parameter [Formula: see text], power index ([Formula: see text], thermophoresis parameter (Nt), Brinkman number (Br), Lewis number (Le) and Brownian diffusion parameter (Nb) for all scenarios of proposed ALM-BPNN. The reference data samples arbitrary selected for training/testing/validation are used to find and analyze the approximated solutions of proposed ALM-BPNNs as well as comparison with reference results. The excellent performance of ALM-BPNN is consistently endorsed by Mean Squared Error (MSE) convergence curves, regression index and error histogram analysis. Intelligent computing based investigation suggests that the rise in values of Ha declines the velocity of the fluid motion but converse trend is seen for growing values of [Formula: see text]. The rising values of Ha, Nt and Br improve the heat transfer but converse trend is seen for growing values of [Formula: see text]. The inclining values of Nt incline the mass transfer but it shows reverse behavior for escalating values of Le. The inclining values of Br incline the EP.

Bioinspired Ultrafast-Responsive Nanofluidic System for Ion and Molecule Transport with Speed Control

ACS Nano ◽  
2020 ◽  
Vol 14 (10) ◽  
pp. 12614-12620
Author(s):  
Can Wang ◽  
Dianyu Wang ◽  
Weining Miao ◽  
Lianxin Shi ◽  
Shutao Wang ◽  
...  
Keyword(s):  
Speed Control ◽  
Molecule Transport ◽  
Nanofluidic System

Tunable Ionic Transport for a Triangular Nanochannel in a Polymeric Nanofluidic System

ACS Nano ◽  
2012 ◽  
Vol 7 (1) ◽  
pp. 740-747 ◽  
Author(s):  
Bumjoo Kim ◽  
Joonseong Heo ◽  
Hyukjin J. Kwon ◽  
Seong J. Cho ◽  
Jongyoon Han ◽  
...  
Keyword(s):  
Ionic Transport ◽  
Nanofluidic System

Electrokinetic Transport in Micro-Nanofluidic Systems With Sudden-Expansion and Contraction Cross Sections

2009 ◽  
Author(s):  
Reiyu Chein ◽  
Baogan Chung
Keyword(s):  
Cross Sections ◽  
Electric Potential ◽  
Vortex Flow ◽  
Stokes Equations ◽  
Limiting Current ◽  
Sudden Expansion ◽  
Positive Pressure ◽  
Electrokinetic Transport ◽  
Nanofluidic System ◽  
Applied Electric Potential

In this study, electrokinetic transport in a micro-nanofluidic system is numerically investigated by solving the transient Poisson, Nernst-Planck, and Navier-Stokes equations simultaneously. The system considered is a nanochannel connected with two microchannels at its ends. Under various applied electric potential biases, the effect of concentration polarization on the fluid flow, induced pressure and electric current is examined. By comparing with the Donnan equilibrium condition and electroosmotic flow in microscale dimension, electric body force due to non-zero charge density is the mechanism for producing vortex flow and inducing positive pressure gradient in the anodic side of the system. The diffusive boundary layer thickness is reduced due to the stirring of the generated vortex flow and results in the over-limiting current when the applied electric potential bias is high.

An Integrated Micro/Nanofluidic System for Processing of Protein Samples

2011 ◽  
Author(s):  
Khalid Anwar ◽  
Taeheon Han ◽  
Sun Min Kim
Keyword(s):  
Sample Preparation ◽  
Electrical Breakdown ◽  
Protein Analysis ◽  
Microfluidic System ◽  
Pdms Membrane ◽  
Electrical Shock ◽  
Separation Column ◽  
Nanofluidic System

In this study, an integrated micro/nanofluidic system for protein analysis was presented. The device is comprised of a micromixer and a preconcentrator with a separation column. The integrated micromixer based on unbalanced split and cross collision of fluid streams is passive and planar, which is easy to fabricate and integrate to the microfluidic system. The preconcentrator has nanochannels formed by the electrical breakdown of polydimethylsiloxane (PDMS) membrane using a high electrical shock, without any nano-lithographic process. Micromixer and preconcentrator were used for sample preparation (tagging of protein for detection) and concentration of protein, consecutively. Proteins were electrokinetically trapped near the junction of micro/nanochannels.

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