Aligarh Muslim University

About: Aligarh Muslim University is a education organization based out in Aligarh, Uttar Pradesh, India. It is known for research contribution in the topics: Population & Adsorption. The organization has 8218 authors who have published 16416 publications receiving 289068 citations. The organization is also known as: AMU.

Pollutant-Induced Modulation in Conformation and β-Lactamase Activity of Human Serum Albumin

Abstract: Structural changes in human serum albumin (HSA) induced by the pollutants 1-naphthol, 2-naphthol and 8-quinolinol were analyzed by circular dichroism, fluorescence spectroscopy and dynamic light scattering. The alteration in protein conformational stability was determined by helical content induction (from 55 to 75%) upon protein-pollutant interactions. Domain plasticity is responsible for the temperature-mediated unfolding of HSA. These findings were compared to HSA-hydrolase activity. We found that though HSA is a monomeric protein, it shows heterotropic allostericity for β-lactamase activity in the presence of pollutants, which act as K- and V-type non-essential activators. Pollutants cause conformational changes and catalytic modifications of the protein (increase in β-lactamase activity from 100 to 200%). HSA-pollutant interactions mediate other protein-ligand interactions, such as HSA-nitrocefin. Therefore, this protein can exist in different conformations with different catalytic properties depending on activator binding. This is the first report to demonstrate the catalytic allostericity of HSA through a mechanistic approach. We also show a correlation with non-microbial drug resistance as HSA is capable of self-hydrolysis of β-lactam drugs, which is further potentiated by pollutants due to conformational changes in HSA.

Biosorption of Pb2+, Ni2+ and Cu2+ ions from aqueous solutions by L-cystein-modified montmorillonite-immobilized alginate nanocomposite

Abstract: In this study, L-cystein-modified montmorillonite (MMT)-immobilized sodium alginate biopolymer-based nanocomposite was synthesized using solution casting method The synthesized material was characterized by X-ray diffraction, FTIR, TGA-DTG, scanning electron microscopy and transmission electron microscopy techniques The material was further evaluated for the removal of heavy metal ions like (Pb2+, Ni2+ and Cu2+) from aqueous solutions The effect of various parameters such as pH, agitation time, initial metal ion concentration, temperature and adsorbent dose on the extent of adsorption was investigated The equilibrium data obtained by experiments were well analysed by four isotherm models, and the results are well fitted with Langmuir model at 50°C, and a maximum adsorption capacity (qm) 10000, 11111 and 12500 (mg g−1) was obtained for Cu2+, Pb2+ and Ni2+, respectively Various kinetic equations were applied to kinetic data, and the results are best found to follow pseudo-second-order kineti

An Integral Tilt Derivative Control Strategy for Frequency Control in Multimicrogrid System

Abstract: The multimicrogrid system is a complicated nonlinear system, which brings performance degradation due to deficient damping under the unexpected fluctuation in power generation due to the presence of renewable sources, dynamically changing loading conditions, and parameter variations. Owing to this, to provide consistent electric power with superlative attribute, sturdy and intelligent control techniques are amazingly imperative in the automatic generation control of microgrid (MG). The application of imperialist competitive algorithm (ICA)-based fractional-order integral proportional derivative with filter (IPDF), i.e., integral tilt derivative with filter controller (ITDF) controller in frequency control in two areas interconnected MG (isolation mode) with renewable penetration, is a novel work. A maiden attempt of the ICA is proposed to optimize the gains of the ITDF controller utilizing the integral time absolute error criterion. To demonstrate the supremacy of ICA, its outcomes are contrasted with two existing optimization strategies, namely the genetic algorithm and the particle swarm optimization. The effectiveness of the proposed controller is revealed by contrasting the dynamic responses of multi microgrid (MMG) with proportional integral derivative with filter (PIDF) and tilt integral derivative with filter (TIDF) controllers. At last, a sensitivity investigation is performed to exhibit the power of the studied strategy to wide variations in the MG parameters, magnitude as well as the location of step/random load disturbance. The proposed MMG is simulated in MATLAB/Simulink environment.