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):  
2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Pengcheng Zhang ◽  
Sifan Chen ◽  
Changjia Zhu ◽  
Linxiao Hou ◽  
Weipeng Xian ◽  
...  

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.


2018 ◽  
Vol 20 (7) ◽  
pp. 5140-5148 ◽  
Author(s):  
Sayed Hossein Ganjiani ◽  
Alireza Hossein Nezhad

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


Author(s):  
M. Asif Zahoor Raja ◽  
M. Shoaib ◽  
Rafia Tabassum ◽  
M. Ijaz Khan ◽  
R. J. Punith Gowda ◽  
...  

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.


ACS Nano ◽  
2020 ◽  
Vol 14 (10) ◽  
pp. 12614-12620
Author(s):  
Can Wang ◽  
Dianyu Wang ◽  
Weining Miao ◽  
Lianxin Shi ◽  
Shutao Wang ◽  
...  

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

Author(s):  
Reiyu Chein ◽  
Baogan Chung

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.


Author(s):  
Khalid Anwar ◽  
Taeheon Han ◽  
Sun Min Kim

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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