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Martin P.,P.A. College | Selvin Samuel A.,St Johns College | Manthrikumar Rajesh A.,Government Arts College for Men Autonomous | GSubbulakshmi,P.A. College
Indian Journal of Environmental Protection | Year: 2012

Water samples were taken at 11 sampling stations along the stretch of the perennial river Tamiraparani. Enumeration of total coliforms (TC) and faecal coliforms (FC) were undertaken using the MPN (most probable number) technique. The total plate count (TPC) was enumerated seasonally in water and sediments. The highest TC count was detected in station 9 (15,000/100 mL) and FC count in station 7 (9,300/100 mL) where small and large sewage drains entered the river. The lowest density of TC was observed at station 2, 3, 5 and 11 (30/100 mL) and that of FC at station 2 (4/100 mL). This was mainly due to impact of textile mill effluent influence in station 2 and 3 and the devoid of open defecation in station 5 and 11. The TPC (total plate count) of sediments was always higher than that of water. Water from all stations were unsuitable for direct consumption, as shown by TC and FC concentration. Water collected by the people directly from basin should, therefore, be boiled and then cooled before being used for drinking or food preparation. Such an approach should significantly reduce the incidence of water-borne diseases. © 2012 - Kalpana Corporation.

Selvaraj S.,Government Siddha Medical College | Selvaraj S.,Tamil University | Chittibabu C.V.,Government Arts College for Men Autonomous | Janarthanam B.,Poonga Biotech Research Center
Asian Journal of Pharmaceutical and Clinical Research | Year: 2014

Objective: The objective of the present study was to evaluate the phytochemical constituents, total phenol, total terpenoid, anti-oxidant activity and high-performance liquid chromatography (HPLC) analysis of swertiamarin compound from the leaf extract of Enicostemma littorale.Methods: Preliminary screening involved the qualitative methods to detect the presence of terpenoids, flavonoids, phenols, tannins, steroids, quinones, saponins, cardiac glycosides and alkaloids. Total phenol and terpenoid contents were quantitatively estimated. Total phenolic content was estimated by Folin–Ciocalteau method. In vitro antioxidant activity of petroleum ether, chloroform, acetone, aqueous and ethanol extracts was evaluated by studying 1, 1-diphenyl-2-picrylhydrazyl radical scavenging activity using the standard procedure. The leaf extract was screened for a major metabolite namely swertiamarin compound using HPLC.Results: The phytochemical analysis of leaf extract of E. littorale revealed the presence of significant secondary metabolites such as steroids, quinones, cardiac glycosides, saponins, tannins, phenols, flavonoids, terpenoids and alkaloids. The total phenol and terpenoid content in leaf extract were found to be 16. 32 mg gallic acid equivalents/g and 71. 0 mg/g respectively. The acetone leaf extract of E. littorale had showed significant radical scavenging activity. The results of -HPLC analysis in the leaf extract of E. littorale proved the presence of the active principle namely swertiamarin.Conclusion: It can be concluded that E. littorale leaf extract can be used as a potent source of natural antioxidant and thus could prevent many free radical mediated diseases. The validated HPLC method can be used for routine quality control analysis. © 2014 Asian Journal of Pharmaceutical and Clinical Research. All rights reserved.

Neela R.,Manonmaniam Sundaranar University | Kalaimagal R.,Government Arts College for Men Autonomous
International Journal of Applied Engineering Research | Year: 2015

Image segmentation plays most important role in computer vision. Segmentation of medical image is the first step in the diagnosis and treatment of various diseases. Segmenting brain MRI data is the most crucial step in medical image analysis. Template based segmentation gives good results when compared to other segmentation techniques. Using multiple atlases as templates, these methods, has two phases, registration and fusion. Registration is finding geometric relationship between two images, which yields segmentation for each atlas. After registration, label fusion step is required to fuse all segmentations into a single final segmentation. In this paper we propose a new label fusion strategy for segmenting sub cortical brain structures from T1 weighted MRI scans using priori knowledge and maximum multi graph cut. We test our framework for segmenting subcortical brain structures on the SATA(MICCAI 2012) challenge data set. We evaluate our algorithm using dice overlap and Jaccard similarity index. © Research India Publications.

Martin P.,Government Arts College for Men Autonomous | Jesvin Bency B.,Government Arts College for Men Autonomous | Jesvin Bency B.,St Johns College | Kuppan A.,Government Arts College for Men Autonomous | And 2 more authors.
Indian Journal of Environmental Protection | Year: 2013

Water samples were collected from Thamiraparani and Palayaru river basin in Kanyakumari district, Tamil Nadu during the period from April to June 2007, for microbial, analysis. River water samples collected from 6 sampling stations showed higher total viable count (TVC) and total microbial count (TMC). Among the river water (RW) samples, maximum load of coliforms and Escherichia coli was observed in RW 6 collected from Manakkudi. Pseudomonas aeruginosa was found to be maximum in the river sample RW4 (16.33 ± 7.31). Vibrio parahaemolyticus was not detected in the samples collected from Keeriparai (RW1), Thirupparapu (RW2) and Paechippara (RW3). In general the river water samples from Kuzhithurai, Olugunacheri and Manakkudi contained sulphite reducing anaerobes. Staphylococcus sp. Salmonella sp, Shigella sp.. Vibrio cholerae. Vibrio parahaemolyticus in most of the sampling days. The average number of coliforms was the highest (37.13) in the river water. Salmonella sp. was also recorded in the river water. © 2013 - Kalpana Corporation.

Jayaraman P.,Government Arts College for Men Autonomous | Doss S.,Government Arts College | Sridevi H.,Government Arts College | Mathivanan K.,Government Arts College for Men Autonomous | Arumugam P.,Armats Biotech New
Journal of Bionanoscience | Year: 2013

Among the methods involved in synthesis of metal nanoparticals, biological methods of synthesis are currently gaining importance and reliable due to its cost effective, eco-friendly and usage of non-toxic materials in the processing. Therefore, the present study is focused on the synthesis of silver nanoparticles (SNPs) with leaf extract of holy plant Aegle marmelos Linn. by using 1 mM silver nitrate (AgNO3) solution. From the bio-reduction reaction mixture, the formation of SNPs was studied by UV-VIS spectrophotometer at the range of 390 nm to 500 nm and found maximum absorbance at 440 nm. The dried SNPs were characterized by using Transmission Electron Microscope (TEM) to observe the size, shape and distribution of particles and analyzed for confirmation of silver in SNPs by X-ray Diffraction (XRD) crystallographic method. Further, the SNPs were anlaysed for the protein or organic group by Fourier Transformed Infra Red (FTIR) spectrophotometer and found the peak of absorption at 500 to 700 nm. Finally, the antibacterial activity of SNPs were tested against few pathogenic and nonpathogenic bacteria like E.coli, Vibrio cholereae, Proteus vulgaris, Psuedomonas aurugenosa and Bacillus licheniformis by using standard methods and the results indicates that the SNPs alone treated has inhibited the bacteria at mild to moderate level in E.coli and Vibrio cholerae. However, the SNPs mixed with antibiotics inhibited the growth of all the species of bacteria tested. From the present study, it was concluded that the plant leaf extracts from Aegle marmelos Linn. can be used as a bio-reductant for the synthesis of SNPs which is environmental friendly and cost effective method. By standardizing the biosynthesis method, SNPs can be prepared in bulk with safe process environment and it can be used for various medical applications including control of pathogenic microorganisms. Copyright © 2013 American Scientific Publishers. Website © 2013 Publishing Technology.

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