f) 2019-Scopus Open Access (PDF)

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    IN SILICO APPROACH TOWARDS ANTIINFLAMMATION AND ANTICANCER STUDIES ON PHYTOCONSTITUENTS DERIVED FROM CISSUS QUADRANGULARIS
    (Chemical Publishing Co, 2019) Edathil, Vidya; Selvi, Gopal
    Ethanobotanical and traditional uses of plant Cissus quadrangularis has initiated the phytochemical investigation of the plant. The stem of the plant was subjected for successive solvent extraction with petroleum ether, ethyl acetate, chloroform and ethanol. The crude extract were column choromatographed. Among 20 constituents isolated ascorbic acid, quercetin, phytol and luteol were identified. Later those phytochemicals were subjected for molecular docking in Autodock 4.2 to examine their pharmacological activity. The results obtained showed that these compounds can be further carry over for in vivo analysis.
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    SYNTHESIS AND X-RAY STUDY OF DISPIRO 8-NITROQUINOLONE ANALOGUES AND THEIR CYTOTOXIC PROPERTIES AGAINST HUMAN CERVICAL CANCER HELA CELLS
    (Royal Society of Chemistry, 2019) Shyamsivappan, Selvaraj; Vivek, Raju; Saravanan, Arjunan; Arasakumar, Thangaraj; Subashini, Gopalan; Suresh, Thangaraj; Shankar, Ramasamy; Mohan, Palathurai Subramaniam
    A series of unique dispiro analogues containing an oxindole pyrrolidine 8-nitroquinolone hybrid has been obtained through a one-pot three-component 1,3-dipolar cycloaddition of azomethine ylides generated in situ from the condensation of isatins and benzylamine with (E)-3-arylidene-2,3-dihydro-8-nitro-4-quinolones. The structures of the newly synthesized compounds were characterized by using different spectroscopic techniques and by X-ray diffraction studies of their regio- and stereochemistry. All the synthesized compounds were screened for in vitro cytotoxic activity against the human cervical cancer cell line HeLa. The compounds have exhibited potent inhibition against human cervical cancer cells and insignificant toxicity to normal cells. The compounds 6d, 6a, 6h, 6b, and 6e induced apoptosis of HeLa cells, through ROS influx. The expression levels of proteins involved in the mitochondrion-related pathways were detected, and Western blot analysis showed that apoptosis occurred via activation of caspase-3.
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    A MN3O4 NANOSPHERES@RGO ARCHITECTURE WITH CAPACITIVE EFFECTS ON HIGH POTASSIUM STORAGE CAPABILITY
    (Royal Society of Chemistry, 2019) Nithya, Chandrasekaran; Vishnuprakash, Palanivelu; Gopukumar, Sukumaran
    A two dimensional (2D) Mn3O4@rGO architecture has been investigated as an anode material for potassium-ion secondary batteries. Herein, we report the synthesis of a Mn3O4@rGO nanocomposite and its potassium storage properties. The strong synergistic interaction between high surface area reduced graphene oxide (rGO) sheets and Mn3O4 nanospheres not only enhances the potassium storage capacity but also improves the reaction kinetics by offering an increased electrode/electrolyte contact area and consequently reduces the ion/electron transport resistance. Spherical Mn3O4 nanospheres with a size of 30–60 nm anchored on the surface of rGO sheets deliver a high potassium storage capacity of 802 mA h g−1 at a current density of 0.1 A g−1 along with superior rate capability even at 10 A g−1 (delivers 95 mA h g−1) and cycling stability. A reversible potassium storage capacity of 635 mA h g−1 is retained (90%) after 500 cycles even at a high current density of 0.5 A g−1. Moreover, the spherical Mn3O4@rGO architecture not only offers facile potassium ion diffusion into the bulk but also contributes surface K+ ion storage. The obtained results demonstrate that the 2D spherical Mn3O4@rGO nanocomposite is a promising anode architecture for high performance KIBs.
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    FACILE DEVELOPMENT AND STRUCTURAL INVESTIGATIONS OF HAP AND HAP/TA NANOSTRUCTURES: PHOTOCATALYTIC ACTIVITY AGAINST TURQ BLUE GL DYE
    (Institute of Physics Publishing, 2019) Manoj, Murugesan; Mangalaraj, Devanesan; Meena, Palaniappan; Yuan, Aihua
    The rising awareness of the need for a healthy environment for living systems has led to an increasing demand for suitable catalyst materials for wastewater treatment. In this connection, in the present work, the catalyst materials Hydroxyapatite and Hydroxyapatite/Tantalum (HAp/Ta) core–shell nanostructured particles were prepared through a facile nanoprecipitation method without a surfactant, chelating agents and/or ligands. The prepared nanostructured particles were characterised with the help of several analytical techniques namely XRD, FESEM, TEM, EDS, FTIR, Raman, XPS and BET. The calculated average crystallite size of HAp was found to be 26 nm and the core–shell nanorod morphology was corroborated through FESEM and TEM technique. The average length and width were found to be 44 and 16 nm respectively. The specific surface area (SSA), microporous nature and pore volume were investigated through the N2 adsorption isotherm method. The photocatalytic activity of the prepared HAp and HAp/Ta core–shell nanostructured particles was investigated on frequently used dyeing industrial dyes Turq blue GL under UV irradiation. The recorded results evince that the HAp/Ta core–shell nanorods have more catalytic activity than pure HAp and can be used as a nanophotocatalyst for industrial waste water treatment process to curb water pollution and to protect the environment.
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    STRUCTURAL, MORPHOLOGICAL, OPTICAL AND DIODE PROPERTIES OF CHEMICAL BATH DEPOSITED NANO-STRUCTURED CDS THIN FILMS USING EDTA AS A COMPLEXING AGENT
    (Sciendo, 2019-09) Vidhya, S.N; Karunakaran, R.T
    CdS thin films with (1 1 1) orientation were prepared by chemical bath deposition technique at 80±5 °C using the reaction between NH4OH, CdCl2 and CS(NH2)2. The influence of annealing temperature varying from 150 °C to 250 °C was studied. X-ray diffraction studies revealed that the films are polycrystalline in nature with cubic structure. Various parameters, such as dislocation density, stress and strain, were also evaluated. SEM analysis indicated uniformly distributed nano-structured spherically shaped grains and net like morphology. Optical transmittance study showed the wide transmittance band and absence of absorption in the entire visible region. I-V characterization of p-Si/n-CdS diode and photoluminescence studies were also carried out for the CdS films.
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    WEB DATA CLASSIFICATION USING SUPPORT VECTOR MACHINE BACK PROPAGATION NEURAL NETWORK
    (Blue Eyes Intelligence Engineering and Sciences Publication, 2019-09) Arunpriya, C
    These days, the development of World Wide Web has surpassed a lot with extra desires. Extraordinary arrangement of content reports, transmission records and pictures were reachable inside the web it’s as yet expanding in its structures. Information handling is that the style of removing information’s realistic inside the web. Web mining could be a piece of information preparing that identifies with differed examination networks like data recovery, bearing frameworks and artificial insight. The data’s in these structures are very much organized from the beginning. This web mining receives a great deal of the date mining procedures to discover most likely supportive data from web substance. The ideas of web mining with its classifications were examined. The paper chiefly focused on the web Content mining undertakings along the edge of its procedures and calculations. In this paper we proposed AI calculation based order .SVM_BPM calculation grouped the web content information and thought about existing calculations our proposed arrangement calculation is high effective and less time calculation.
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    SYNTHESIS, CHARACTERIZATION, SINGLE CRYSTAL XRD, IN VITRO ANTIMICROBIAL AND CYTOTOXICITY STUDY OF TRIS(ETHYLENEDIAMINE)COBALT(III)CHLORIDE OXALATE TRIHYDRATE
    (Elsevier B.V, 2019-11) Jone Kirubavathy, S; Velmurugan, R; Parameswari, K; Chitra, S
    The complex tris(ethylenediamine)cobalt(III)chloride oxalate trihydrate [Co(en)3]Cl(C2O4)·3H2O crystallizes in the monoclinic space group C2/c with the following unit cell parameters a = 19.9318 (13), b = 9.3344 (4), c = 19.0881 (13) Å β = 96.846(3)°, Z = 8. The crystal structure was solved by direct methods and refined by full matrix least squares procedures to a final R value of 0.0314 for 4330 observed reflections. The reported cobalt complex is six co-ordinated through amine nitrogen with distorted octahedral geometry. There are uncoordinated chloride and oxalate ions along with the water molecules. In-vitro antimicrobial activity was studied against various test organisms and found to be good. From in-vitro cytotoxic activity of the synthesized complex, the IC50 value was found to be 55.85 μg/ml.
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    POROUS REDUCED GRAPHENE OXIDE (RGO)/WO3 NANOCOMPOSITES FOR THE ENHANCED DETECTION OF NH3 AT ROOM TEMPERATURE
    (Royal Society of Chemistry, 2019-02-27) Jeevitha G; Abhinayaa R; Mangalaraj D; Ponpandian N; Meena P; Veena Mounasamy; Sridharan Madanagurusamy
    Incorporation of reduced graphene oxide (rGO) modifies the properties of semiconducting metal oxide nanoparticles and makes it possible to tune the surface area and pore size to optimum values, which in turn improves their gas sensing properties. In this work, to improve the ammonia (NH3) gas sensing characteristics, reduced graphene oxide (rGO) was incorporated into tungsten oxide (WO3) nanospheres using a simple ultrasonication method. The rGO–WO3 nanocomposites exhibited porous nanosheets with nanospherical WO3 as observed with field-emission scanning electron microscopy (FE-SEM). The oxidation state of the rGO–WO3 nanocomposite was determined using X-ray photoelectron spectroscopy (XPS). Three ratios of (1, 5 and 10% rGO/WO3) nanocomposites and pure WO3 showed good selectivity towards NH3 at 10–100 ppm, and more remarkably at room temperature in the range of about 32–35 °C and at a relative humidity (RH) of 55%. The limit of detection (LOD) of the synthesized rGO–WO3 nanocomposites was 1.14 ppm, which will highly favour low detection ranges of NH3. The sensor response was 1.5 times higher than that of the bare WO3 nanospheres. The sensors showed excellent selectivity, ultrafast response/recovery times (18/24 s), reproducibility and stability even after one month of their preparation. We believe that metal oxides using the rGO modifier can improve the sensitivity and reduce the LOD towards NH3 and can be used effectively in real-time environmental monitoring.
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    CORROSION RESISTANCE OF CISSUS QUADRANGULARIS EXTRACTS ON METAL IN AGGRESSIVE MEDIUM: GRAVIMETRIC AND SURFACE EXAMINATIONS
    (Rasayan Journal of Chemistry, 2019-09) Anitha, R; Subramanian, Chitra
    The corrosion resistance of Cissus quadrangularis in acid and ethanol medium have been investigated by diverse techniques. It has been noticed that as the concentration (2 to 12v/v %) of C. quadrangularis rises the efficiency of the inhibitor also increases. The maximum inhibition efficiencies of 89.45 % and 75.54 % were attained for acid and ethanol extracts respectively. The emergence of a protective layer on the mild steel surface was assessed by electrochemical impedance studies. The influence of the active ingredients in the extracts was examined by GC-MS analysis. The inhibitor adsorption ensued in the protective layer on the surface was analyzed using SEM and AFM.
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    A DEEP LEARNING OF AUTISM SPECTRUM DISORDER USING NAÏVE BAYES, IBK AND J48 CLASSIFIERS
    (Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP), 2019-07) Gomathi, S
    Deciding the right classification algorithm to classify and predict the disease is more important in the health care field. The eminence of prediction depends on the accuracy of the dataset and the machine learning method used to classify the dataset. Predicting autism behaviors through laboratory or image tests is very time consuming and expensive. With the advancement of machine learning (ML), autism can be predicted in the early stage. The main objective of the paper is to analyze the three classifiers Naïve Bayes, J48 and IBk (k-NN). An Autism Spectrum Disorder (ASD) diagnosis dataset with 21 attributes is obtained from the UCI machine learning repository. The attributes have experimented with the three classifiers using WEKA tool. 10-fold cross validation is used in all three classifiers. In the analysis, J48 shows the best accuracy compared with the other two classifiers. The architecture diagram is shown to depict the flow of the analysis. The Confusion matrix with other relevant results and figures are shown.