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Suresh S.,Bharathiar University | Suresh S.,St. Josephs College | Jayamoorthy K.,St. Josephs College | Karthikeyan S.,Drambedkar Government Arts College
Sensors and Actuators, B: Chemical | Year: 2016

NiO nanoflakes were stabilized using 5-amino-2-mercaptobenzimidazole (AMB), and the binding interaction was studied by absorption and fluorescence spectral studies. The bunsenite NiO nanoflakes were synthesized by chemical route and characterized by powder XRD and HR-SEM with EDX studies. The surface treatment of AMB on NiO nanoflakes was confirmed with SEM-EDX results. Fluorescence enhancement was observed due to electron transfer between AMB and NiO nanoflakes. The results of VSM studies showed the paramagnetic behavior in both n-NiO and f-NiO samples; however, the saturation magnetization of functionalized nanoparticles decreased slightly, which is also an evidence for the effective binding of AMB on NiO nanoflakes. Molecular electrostatic potential map showed that the binding process is involved between NiO nanoflakes and azomethine nitrogen, which was confirmed by morphological changes of NiO nanoflakes to AMB-modified NiO nanoflakes. EDX spectrum of AMB-modified NiO nanoflakes visualized the incorporation of AMB to NiO nanoflakes. AMB adsorbs strongly on the surfaces of NiO nanoflakes. It has the largest μgβ0 value and can be used as potential NLO materials. © 2016 Elsevier B.V. All rights reserved. Source


Krishnamoorthy P.,Drambedkar Government Arts College | Arumugam T.K.,Drambedkar Government Arts College
Journal of Materials and Environmental Science | Year: 2015

The removal of hexavalent chromium is a well-known poisonous metal and considered a priority pollutant from industrial wastewater include leather industry, electroplating, anodizing baths etc. To remove toxic chromium from waste water a low-cost abundant adsorbents was investigated. Typha latifolia, a variety of broad leaf cattail type bioremediator, stem and leaves are used to prepare the activated carbon which was used as a novel adsorbent. The influence of pH, adsorbent dose and contact time, metal concentration, adsorbent nature and concentration on the selectivity and sensitivity of the removal process was investigated. The kinetics of adsorption process was studied by Lagergren's pseudo-first order and pseudo-second order kinetics and the adsorption process depends on both time and concentration. The feasibility of the sorption was studied using Freundlich and Langmuir isotherms including linear regression methods. The mechanism of the adsorption process was evaluated with intra particle diffusion model. Various thermodynamic parameters such as the standard Gibbs free energy (ΔG°), standard entropy (ΔS°), and standard enthalpy (ΔH°) were calculated. The Typha latifolia activated carbon (TLAC) adsorbent material was characterized by using Fourier Transform Infrared Spectroscopy (FTIR). In this study, Langmuir isotherm was the most favorable method for the adsorption of chromium. The kinetic result shows that the adsorption process follows pseudo-second order kinetics, which implies that the adsorption process depends on both time and concentration. This readily available low-cost adsorbent is efficient in the uptake of Cr (VI) ion in aqueous solution, thus, it could be an excellent alternative for the removal of heavy metals and organic matter from water and wastewater. Source


Sridevi T.,Tamil University | Shyamala K.,Drambedkar Government Arts College | Murugan A.,Drambedkar Government Arts College
Journal of Theoretical and Applied Information Technology | Year: 2014

Feature selection is a fundamental problem in data mining, especially for high level dimensional datasets. Feature selection is a process commonly used in machine learning, wherein subsets of the features from the original set of features are selected for application of a learning algorithm. The best subset contains the minimum number of dimensions retaining a suitably high accuracy on classifier in representing the original features. The objective of the proposed approach is to reduce the number of input features thus to identify the key features of breast cancer diagnosis using fuzzy c-means clustering (FCM), K-nearest neighbours (KNN) and rough set. The results show that the hybrid method is able to produce more accurate diagnosis and prognosis results than the full input model with respect to computational complexity and classification accuracy. © 2005 - 2014 JATIT & LLS. All rights reserved. Source


Manivannan S.,Drambedkar Government Arts College | Karthikeyan R.,Drambedkar Government Arts College | Muthubharathi M.,Drambedkar Government Arts College
International Journal of ChemTech Research | Year: 2015

The kinetics of oxidative decolonization of Tartrazine and Ponceou4R byTrichloroisocyanuricAcid [TCICA] in aqueous acetic acid medium has been investigated at 303K. Kinetic runs were executed under pseudo first-order condition in which large excess of [TCICA] compared with [Dye]. Under identical experimental conditions reactions with both the dyes follow identical kinetics with a first-order dependence on each [Dye], [TCICA] and an inverse fractional order on [H+]. The effect of chloride ion and dielectric constant of the medium have been investigated. The rate of oxidation of Tartrazine is about two-fold faster with TCICA as compared to Ponceou4R. Hypochlorous acid has been postulated as the reactive oxidizing species. A suitable mechanism consistent with the experimental results has been proposed. © 2015 Sphinx Knowledge House. All Rights Reserved. Source

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