PHYTOCHEMISTRY AND PHARMACOLOGICAL ASPECTS OF LEUCAS URTICIFOLIA (VAHL) BENTH

Medicinal plants have attracted increased attention because of their beneficial effects on human health. Many medicinal plants are used as traditional medicine in various countries for long time. A large number of secondary metabolites with various biological activities have been discovered from various medicinal plants and some bioactive substances derived from plants have diverse functional roles as secondary metabolites and these properties can be applied to the developments of novel pharmaceuticals. Leucas Urticifolia (family- Lamiaceae) is an annual herbaceous plant and has various activities. Chemical studies have underlined the presence of various classes of compounds, the main being triterpenes, diterpene, flavonoids and fatty acids. The extract of this plant as well as pure compounds isolated from this plant, have been demonstrated to posses multiple pharmacological activities. In this review, we have explored the phytochemistry and pharmacological activites of Leucas Urticifolia in order to collate existing information on this plant as well as highlight its multi-activity properties as a medicinal agent

Secure Cluster-Head Selection Algorithm Using Pattern for Wireless Mobile Sensor Networks

Selecting a cluster head (CH) in wireless mobile sensor network is a crucial task. Numerous algorithms have been presented for this purpose in recent literature. In these algorithms, all nodes are permitted to contend in CH selection process regardless of their less resource. This meaningless participation of ineligible nodes in the CH selection process causes unnecessary communication cost. Similarly the use of real data for CH selection increases communication cost. Additionally, no one algorithm has focus in security aspect of CH selection process. In this article Pattern Based secure CH Selection algorithm has been presented. This algorithm filters the ineligible nodes, puts them to sleep mode thereby restricting them from not participating in the CH selection process. Additionally the uses of pattern instead of real data in CH selection decrease communication cost and increase security of CH selection process. The simulation results show the improvement in lifetime and enhancement in security of CH selection

2-(2-Methyl-5-nitro-1H-imidazol-1-yl)ethyl 2-nitro­benzoate

In the title compound, C13H12N4O6, the mean plane through the nitro­benzene forms a dihedral angle of 37.38 (15)° with the plane through the imidazole ring. The crystal packing is stabilized by weak inter­molecular C—H⋯O and C—H⋯N inter­actions together with π–π stacking inter­actions between nitro­benzene rings [centroid–centroid distance = 3.788 (3) Å] and between imidazole rings [centroid–centroid distance = 3.590 (2) Å]

Acetone sensor based on solvothermally prepared ZnO doped with Co3O4 nanorods

This paper describes a reliable and sensitive method for sensing dissolved acetone using doped nanomaterials. Large-scale synthesis of ZnO nanorods (NRs) doped with Co(3)O(4) was accomplished by a solvothermal method at low temperature. The doped NRs were characterized in terms of their morphological, structural, and optical properties by using field-emission scanning electron microscopy coupled with energy-dispersive system, UV-Vis., Fourier transform IR, X-ray diffraction, and Xray photoelectron spectroscopy. The calcinated (at 400 °C) doped NRs are shown to be an attractive semiconductor nanomaterial for detecting acetone in aqueous solution using silver electrodes. The sensor exhibits excellent sensitivity, stability and reproducibility. The calibration plot is linear over a large concentration range (66.8 μM to 0.133 mM), displays high sensitivity (~3.58 μA cm(−2) mM(−1)) and a low detection limit (~14.7 ± 0.2 μM; at SNR of 3). [Figure: see text

Mesoporous Co 3 O 4 as an electrocatalyst for water oxidation

ABSTRACT Mesoporous Co 3 O 4 has been prepared using porous silica as a hard template via a nanocasting route and its electrocatalytic properties were investigated as an oxygen evolution catalyst for the electrolysis of water. The ordered mesostructured Co 3 O 4 shows dramatically increased catalytic activity compared to that of bulk Co 3 O 4 . Enhanced catalytic activity was achieved with high porosity and surface area, and the water oxidation overpotential (η) of the ordered mesoporous Co 3 O 4 decreases significantly as the surface area increases. The mesoporous Co 3 O 4 also shows excellent structural stability in alkaline media. After 100 min under 0.8 V (versus Ag/AgCl) applied bias, the sample maintains the ordered mesoporous structure with little deactivation of the catalytic properties

Synthesis, Characterization, and Thermal and Proton Conductivity Evaluation of 2,5-Polybenzimidazole Composite Membranes

In this contribution, composite membranes (CM-D and CM-S) of 2,5-polybenzimidazole (PBI) were synthesized by adding inorganic heteropoly acids (IHA-D and IHA-S). IHA-D and IHA-S were synthesized by condensation reaction of silicotungstic acid with tetraethyl orthosilicate (TEOS) in the absence and presence of mesoporous silica (SiO2), respectively. The synthesized composites were structurally and morphologically characterized and further investigated the functional relationships between the materials structure and proton conductivity. The proton conductivity as well as thermal stability was found to be higher for composite membranes which suggest that both properties are highly contingent on mesoporous silica. The composite membrane with mesoporous silica shows high thermal properties and proton conductivity. IHA-D shows proton conductivity of almost 1.48×10-1 Scm−1 while IHA-S exhibited 2.06×10-1 Scm−1 in nonhumidity imposing condition (150°C) which is higher than pure PBI. Thus introduction of inorganic heteropoly acid to PBI is functionally preferable as it results in increase of ion conductivity of PBI and can be better candidates for high temperature PEMFC