SRM University

About: SRM University is a education organization based out in Chennai, India. It is known for research contribution in the topics: Computer science & Population. The organization has 10787 authors who have published 11704 publications receiving 103767 citations. The organization is also known as: Sri Ramaswamy Memorial University.

Evaluation of bioactive properties of peptide isolated from Exocoetus volitans backbone

Abstract: Summary The aim of this study was to evaluate antioxidant, antiproliferative and antimicrobial properties of flying fish (Exocoetus volitans) backbone hydrolysed by three different enzymes namely papain, pepsin and trypsin. The in vitro antioxidant potencies of hydrolysates and purified peptides against 1, 1-diphenyl-2-picrylhydrazyl, superoxide and hydroxyl radicals were evaluated by electron spin resonance spectroscopy. The peptic protein hydrolysate showed maximum free radical scavenging potential and lipid peroxidation inhibition and was further purified by DEAE XK 26/20 anion exchange chromatography followed by G-25 gel permeation chromatography. The amino acid composition of potent purified fraction was determined by HPLC, contains essential and nonessential amino acids with glutamic acid (24.10%), lysine (23.62%), glycine (12.05%) and threonine (10.41%) as the dominant amino acids. The potent purified fraction was tested for cell cytotoxicity on Vero and Hep G2 cell lines. It was found that fraction IIIb did not show any cytotoxic effect for Vero cell lines and exerted a significant antiproliferative effect on Hep G2 cell lines.

Intelligent Reward-Based Data Offloading in Next-Generation Vehicular Networks

Abstract: A massive increase in the number of mobile devices and data-hungry vehicular network applications creates a great challenge for mobile network operators (MNOs) to handle huge data in cellular infrastructure. However, due to fluctuating wireless channels and high mobility of vehicular users, it is even more challenging for MNOs to deal with vehicular users within a licensed cellular spectrum. Data offloading in the vehicular environment plays a significant role in offloading the vehicle’s data traffic from congested cellular network’s licensed spectrum to the free unlicensed WiFi spectrum with the help of roadside units (RSUs). In this article, an intelligent reward-based data offloading in the next generation vehicular networks (IR-DON) architecture is proposed for dynamic optimization of data traffic and selection of intelligent RSU. Within the IR-DON architecture, an intelligent access network discovery and selection function (I-ANDSF) module with $Q$ -learning, a reinforcement learning algorithm is designed. The I-ANDSF is modeled under a software-defined network (SDN) controller to solve the dynamic optimization problem by performing an efficient offloading. This increases the overall system throughput by choosing an optimal and intelligent RSU in the network selection process. The simulation results have shown the accurate network traffic classification, optimal network selection, guaranteed quality of service, reduced delay, and higher throughput achieved by the I-ANDSF module.

Antioxidant Activity of Hydrolysates and Peptide Fractions of Nemipterus japonicus and Exocoetus volitans Muscle

Abstract: The focus of the study was to investigate the antioxidant activity of hydrolyzed muscle protein of Nemipterus japonicus and Exocoetus volitans. The trypsin protein hydrolysates of both fish showed maximum free radical scavenging potential and lipid peroxidation inhibition. Furthermore, it was purified by chromatographic methods followed by the lipid peroxidation inhibition; free radical scavenging assay was performed before and after purification. The purified peptide fractions of N. japonicus and E. volitans exhibited higher activity against polyunsaturated fatty acids (PUFA) peroxidation which was similar to natural antioxidants like α-tocopherol. Free radical scavenging potencies were measured by electron spin resonance technique (ESR). The purified peptide of E. volitans quenched free radicals (DPPH, hydroxyl, and superoxide) slightly more than N. japonicus. The amino acid composition of both fish protein hydrolysates showed variations in their ratio. The purified peptides were tested for cell cytotox...

Salivary and serum level of CYFRA 21‐1 in oral precancer and oral squamous cell carcinoma

Abstract: Background CYFRA 21-1, a constituent of the intermediate filament proteins of epithelial cells, is known to be increased in many cancers. This study was designed to estimate the levels of salivary and serum CYFRA 21-1 in patients with oral precancer and oral squamous cell carcinoma (OSCC) and compare them with healthy controls. Materials and methods Each group comprised of 100 subjects. Saliva and blood samples were collected from patients with OSCC, premalignant subjects, and normal healthy subjects. Serum and salivary CYFRA 21-1 levels were measured by enzyme-linked immunosorbent assay. Appropriate statistical tests were employed to assess diagnostic potency of CYFRA 21-1. Results We found a significant increase in CYFRA 21-1 level in OSCC compared with PML and healthy subjects. Salivary CYFRA 21-1 levels in OSCC was threefold higher when compared to serum levels. PML group showed increased salivary CYFRA 21-1 when compared to control subjects, but it was significantly lower compared with OSCC. Receiver operator characteristic curve analysis showed salivary CYFRA 21-1 to have superior sensitivity in detecting OSCC compared with serum CYFRA 21-1. Conclusions The outcome of this study suggests that salivary CYFRA 21-1 can be utilized as a biomarker in early detection of oral cancer.

Single Walled Carbon Nanotube–Metal Oxide Nanocomposites for Reversible and Reproducible Storage of Hydrogen

Abstract: Composite material consisting of single walled carbon nanotubes (SWCNTs) and metal oxide nanoparticles has been prepared and their hydrogen storage performance is evaluated. Metal oxides such as tin oxide (SnO2), tungsten trioxide (WO3), and titanium dioxide (TiO2) are chosen as the composite constituents. The composites have been prepared by means of ultrasonication. Then, the composite samples are deposited on alumina substrates and at 100 °C in a Sieverts-like hydrogenation setup. Characterization techniques such as transmission electron microscopy (TEM), Raman spectroscopy, scanning electron microscopy (SEM), powder X-ray diffraction (XRD), Fourier transform infrared (FTIR) spectroscopy, energy dispersive spectroscopy (EDS), CHN elemental analysis, and thermogravimetric (TG) measurements are used to analyze the samples at various stages of experiments. Hydrogen storage capacity of the composites namely, SWCNT–SnO2, SWCNT–WO3, and SWCNT–TiO2 are found to be 1.1, 0.9, and 1.3 wt %, respectively. Hydroge...