47 research outputs found
Enhancement Effects of Biosurfactant Produced by Pseudomonas aeruginosa MTCC 2297 and Pseudomonas fluorescens on Sugar Cane Bagasse Composting
No full textBiosurfactant produced by Pseudomonas aeruginosa MTCC2297 and Pseudomonas fluorescens (a Mangrove forest isolate) was added to the Sugar cane bagasse decomposing process to initiate and enhance the production of reducing sugars. Both isolates produced a glycolipid biosurfactant, namely a rhamnolipid that was confirmed by biochemical and analytical studies. The surface tension of fermentation broth reduced from 73 to 34.2 mN/m by P. aeruginosa MTCC 2297 and from 76 to 29 mN/m by P. fluorescens. Sugar cane bagasse decomposing process was attempted by two different methods, adding pure rhamnolipid and on-site production of it were compared. The study revealed that rhamnolipid concentration of 0.75gl-1 was optimum for composting process and the optimum temperature for compost pile production was 32°Cfor the first 48h subsequently 35°C for the next 48h. At the optimum temperature for this two-stage fermentation, the production of reducing sugar could be increased to 15.73 gl-1 for P. aeruginosa MTCC 2297 and for the P. fluorescens reducing sugar increased to 15.88 gl-1, both experiments resulted in higher values than that of the treatment without rhamnolipid sample. The results indicate that application biosurfactant could possibly reduce the composting period. As the compost pile production of rhamnolipid does not require the purification process, the production cost reduced significantly.--------------------------------------------------------------------------------------------------------Department of Microbiology, Faculty of Agriculture, Annamalai University, Annamalai Nagar, Chidambaram, Tamil Nadu, India-608002. *Corresponding author, Email: [email protected], Mob: +91-9842059688               Cite This Article As: Parthasarathi, R. and  P. K. Sivakumaar. 2010. Enhancement Effects of Biosurfactant Produced by Pseudomonas aeruginosa MTCC 2297 and Pseudomonas fluorescens on Sugar Cane Bagasse Composting. J. Ecobiotechnol. 2(3): 33-39
RETRACTED ARTICLE: Therapeutic management of trypanosomosis with ophthalmic involvement in a dog
No full textRetraction Note to: Therapeutic management of trypanosomosis with ophthalmic involvement in a dog
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Designing Supramolecular Gelators: Challenges, Frustrations, and Hopes
No full textThis article is a personal account of the author, who serendipitously entered the field of supramolecular gels nearly two decades ago. A supramolecular synthon approach in the context of crystal engineering was utilized to develop a working hypothesis to design supramolecular gelators derived from simple organic salts. The activity not only provided a way to occasionally predict gelation, but also afforded clear understanding of the structural landscape of such supramolecular materials. Without waiting for an ab initio approach for designing a gel, a large number of supramolecular gelators derived from organic salts were designed following the working hypothesis thus developed. Organic salts possess a number of advantages in terms of their ease of synthesis, purification, high yield and stability and, therefore, are suitable for developing materials for various applications. Organic salt-based gel materials for containing oil spills, synthesizing inorganic nanostructures and metal nanoparticles, sensing hazardous gas and dissolved glucose, adsorbing dyes, and facilitating drug delivery in self-delivery fashion have been developed. The journey through the soft world of gelators which was started merely by serendipity turned out to be rewarding, despite the challenges and frustrations in the field
Lessons from the interstitial lung disease-India registry: A proposed practical scheme of classification of diffuse parenchymal lung diseases in the Indian subcontinent
No full textThe revelation of interstitial lung disease India registry leads one to consider a revisit into the classification of diffuse parenchymal lung disease that would be clinically relevant for the Indian subcontinent. The author ponders that a simple clinical classification based on steroid sensitivity may be worthwhile
Recognition of Non Circular Iris Pattern of the Goat by Structural, Statistical and Fourier Descriptors
No full textAbstractThe present paper has described a comparative study to find the iris pattern of the goat which has nearly rectangular or square type appearance. For detecting the structural descriptors, the deviation of the iris pattern shape and size from a standard circular (annular) shaped have been thoroughly studied. Statistical feature extraction has mainly dealt with the various types of moments e.g. – mean variance skewness and kurtosis1, 2. Fourier descriptors have been extracted by 2D Fourier Transformation of the entire data set comprising patterns. It has been found that Fourier Descriptors are not directly insensitive to possible geometrical changes of the iris location like translation, rotation and scale change occurring due to eye ball movement and blinking of the eye lids. The result shows that the structural descriptors based pattern recognition rate produce a recognition rate of 97.85% with 4.5% of false acceptance rate and 2.2% false rejection rate. The images during the study were acquired from real life with 16 megapixel camera resolution
Human Iris Recognition for Clean Electoral Process in India by Creating a Fraud Free Voter Registration List
No full textAbstractHuman Iris pattern matching and recognition system is considered to be the best biometric identification found so far because of the unique features found in the iris and moreover the textured patterns of iris remain stable, invariant and distinct throughout the whole life. Iris recognition techniques involve a mathematical analysis of the unique stable patterns that are structured within the iris and then the comparison is being done with an already existing database. In this paper the implementation of creating a fraud free voter ID list is being done as to make a clean Electoral environment. For this localization of Iris and Pupils are done by canny edge detection algorithm, Normalization is done by Dougman's Normalization method and feature extraction is being done using Log Gabor Filter and lastly method of matching is accomplished by Euclidian distance1, 2. MATLAB 2011 version is used for developing the present study, and much of the emphasis is given on software for Recognition of Irises in an efficient manner
