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Kolkata, India

Ghosh R.,Jogesh Chandra Chaudhury College | Mitra A.,Techno India University
Indian Journal of Geo-Marine Sciences | Year: 2015

The biochemical composition of salt marsh grass, Porteresia coarctata was investigated in this present study along with subsequent analysis of relevant physico-chemical variables. In this study, the relationship between the nutritive components of the species and the ambient environmental parameters was established. P. coarctata collected from regions of high salinity showed significant decrease in protein content. © 2015, National Institute of Science Communication and Information Resources (NISCAIR). All rights reserved. Source


Mitra M.,Indian Institute of Science | Kulsi C.,Indian Institute of Science | Chatterjee K.,Indian Institute of Science | Chatterjee K.,Techno India University | And 4 more authors.
RSC Advances | Year: 2015

Reduced graphene oxide (rGO) can improve the thermoelectric properties of polyaniline (PANI) by varying its concentration in composites of rGO nanosheets and PANI. The figure of merit (ZT) of rGO-PANI composites is increased with an increasing percentage of rGO (up to 50%), which is 7.5 times higher as compared to pure PANI. High resolution transmission electron microscopy (HRTEM), field emission scanning electron microscopy (FESEM) and X-ray diffraction (XRD) analyses show a uniform growth of PANI over the surface of rGO as a template, leading to a more ordered structure with high crystallinity during polymerization. Compared to pure PANI, both the electrical conductivity and thermoelectric power of the rGO-PANI composite is higher due to the increased carrier mobility as confirmed by a Hall effect measurement. Fourier transform infrared spectroscopy (FTIR), ultra-violet visible range spectroscopy (UV-Vis) and Raman spectroscopy analyses reveal that strong π-π interactions assisted the uniform distribution of PANI on the rGO nanosheets. Other strong interactions include electrostatic forces and hydrogen bonding between rGO and PANI, which provide a route for constructing highly ordered chain structures with improved thermoelectric performance of PANI. There is no significant change in the thermal conductivity of the rGO-PANI composite as compared to pure PANI, which improves the thermoelectric performance of composite. © The Royal Society of Chemistry 2015. Source


Nandy P.,Maulana Abul Kalam Azad University of Technology | Thakur A.R.,Techno India University | Chaudhuri S.R.,Maulana Abul Kalam Azad University of Technology
American Journal of Biochemistry and Biotechnology | Year: 2013

Microbial identification and antimicrobial susceptibility testing methods currently used in clinical microbiology laboratories require at least two to three days because they rely on the growth and isolation of micro-organisms. This long, but necessary, delay has enormous consequences on prophylactic usage of antimicrobial drugs. This study was an attempt to reduce this detection time span. Taq Man Real Time PCR has been used as an important tool in the differentiation of Gram nature of bacteria present in UTI patients that allows detection of spiked bacterial 16S rDNA from urine samples within a short span of 5h and also gives us the corresponding cell count of both/either Gram positive and negative organisms present. A standard curve was generated which was used to determine the cell count of control as well as patient samples. Detection could be done in the range of 103 to 106 cells/mL Patient samples screened clustered either in the allele 1 or allele 2 axes, depending on majority concentration of Gram nature of the microorganisms. The cell counts for control individuals were scattered within 0 to 102, while very few in the range of 104. The case was just reverse for patient group, where most of the points were scattered within 104 to 108. Thus the optimal selection of appropriate antimicrobials (depending on the gram nature) by clinicians, will be gradually improved as an increasing number of rapid molecular diagnostic tools for the detection, identification and characterization of infectious agents become commercially available. ©2013 Science Publication. Source


Sumana D.,Maulana Abul Kalam Azad University of Technology | Sudarshan M.,Inter University Consortium | Thakur A.R.,Techno India University | RayChaudhuri S.,Maulana Abul Kalam Azad University of Technology
American Journal of Biochemistry and Biotechnology | Year: 2013

Protease secreting microbe was isolated and characterized on the basis of their morphological, biochemical, physiological and 16S rDNA based molecular properties. The extracellular protease was quantified and characterized. Protease was used for different time (4, 8, 12 and 24 h) at different temperature (RT and 37°C) for optimization of the degumming process for raw silk fabric with enzyme dosage (0.2-1 unit/cm2 of fabric). Post-enzymatic treatment, the fabric quality and texture was compared with conventionally treated as well as untreated fabric in terms of degumming loss, tensile strength and yarn count and colour fastness to light/water. The isolate SM1 (Bacillus thuringensis) was able to grow in Carbon Minimal Salt Medium (CMSM) with jaggery or tamarind as the carbon source (0.3% w/v). Energy Dispersive X-Ray Fluorescense (EDXRF) data showed intracellular accumulation of heavy metal by the isolate. Extracellular protease was able to degum silk fabric within 4 h at RT with enzyme concentration of 0.8unit/cm2 and the maximum degumming loss was 21.72%. Post enzymatic degumming, a shiny texture was observed under Environmental Scanning Electron Microscope (ESEM) and the yarn volume also increased. Utilization of CMSM made the process cost effective during large scale application. Intracellular metal accumulation and growth in a wide range of temperature and pH made the isolate a potential candidate for bioremediation. Extracellular protease with significant degumming property could be used as an eco friendly approach as compared to the conventional chemical treatment. © 2013 Science Publication. Source


Saha B.,Techno India University | Dasgupta T.,Jadavpur University | Bhattacharya S.,Jadavpur University
2015 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015 | Year: 2015

An image can be considered to be a combination of both significant (foreground) objects and some less significant (background) objects. Content aware image resizing (CAIR) algorithm uses the different edge detection methods to segregate the useful objects from the background. When applied to an image, CAIR can resize the image to a very different aspect ratio without destroying the aspect ratio of the useful objects in the image. However, this method fails when the useful objects in the image are very closely situated. To take care of this, this paper proposes and develops a modified version of the algorithm. Instead of merely finding the edges, the important objects are detected by drawing contours around them with the help of level set based Chan Vese Image Segmentation algorithm and constant convergence rate Modified Delta Bar Delta learning algorithm. Then Seam Carving algorithm is applied which uses Dynamic Programming. A seam which is a 8 connected curved path from top to bottom (vertical seam) or left to right (horizontal seam) is drawn on the unnoticeable pixels of the lesser significant portions by the process of seam carving which helps to resize the image to a new size. The optimum path of the seam is defined by an image energy function which protects the content of the image. If the seams are continuously removed and inserted then the size of an image can be expanded and contracted respectively in both directions. © 2015 IEEE. Source

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