Molecularly Imprinted Polymers for the Recognition of Tobacco Viruses

Abstract :-
The goal of this research is to elucidate the mechanism of virus recognition in molecularly imprinted polymers (MIPs) using already utilized techniques. The clinical relevance of this study relates to the development of a virus imprinted MIP, which would apply to the identification, classification, and removal of viruses. The separation of viruses and virus-like particles from various media represents an enormous challenge to the fields of medicine, healthcare, and biotechnology. Continue reading Molecularly Imprinted Polymers for the Recognition of Tobacco Viruses

Impact of Stochasticity on Gene Regulation Networks

Abstract :-
This study is done using impact of stochasticity on gene regulation networks, using the cell-to-cell communication mechanism in Escherichia coli as an example. First we explored signal mediated positive autoregulation networks and their stochastic bistability, in the presence of which an initially homogeneous cell population would evolve into two distinct subpopulations. We proposed the simplification of the full network into one that can be theoretically studied. Simulation results indicate the simplifications retain the bistability and the distribution shapes so that the simplified network can be used to predict the bistable behavior of the full network. Continue reading Impact of Stochasticity on Gene Regulation Networks

Adsorption of CO2 on Indian Coals

Abstract :-
CO2 sorption studies were conducted for Raniganj coals of India from the point of view of CO2 adsorption & desorption and the effect of temperature, coal particle size and media pH. Adsorption and desorption studies were conducted for 4 samples with the highest adsorption capacity reported as 11.09mL/g of coal and lowest as 5.15mL/g at 30°C.Desorption studies revealed the existence of both positive and negative hysteresis curves. Continue reading Adsorption of CO2 on Indian Coals