FOURIER TRANSFORM INFRARED ANALYSIS OF ULVA LACTUCA AND GRACILARIA CORTICATA AND THEIR EFFECT ON ANTIBACTERIAL ACTIVITY

 In the present work, we used two seaweeds Ulva lactuca and Gracilaria corticata, which were collected from Hare Island in the Gulf of Mannar ofTuticorin coast. Ethanol was taken as the solvent for extraction. The crude extract was purified using column chromatography. Antibacterial activityof crude and column purified fractions were tested against Klebsiella, Aeromonas, Staphylococcus, Escherichia and Pseudomonas using well-diffusionmethod. Maximum zone of inhibition (9 mm) was found in the crude extract of G. corticata against Pseudomonas sp. Minimum zone of inhibition (4mm) was found in U. lactuca fraction1 against Escherichia coli. Highest antibacterial activity was obtained in red seaweed, whereas, green seaweedshowed less antibacterial activity. From this study, we can conclude that red seaweeds have more active than green seaweeds. The seaweed powderwas analyzed in Fourier transform infrared spectrometer. It was observed that both seaweed contained phenol and alcohol compounds, which wereresponsible for the antibacterial activity.Keywords: Antibacterial activity, Fourier transform infrared, Seaweeds, Ulva lactuca, Gracilaria corticata.Â

STUDY ON IMMUNOSTIMULATORY PROPERTY OF FEW SEAWEEDS INJECTED INTRAPERITONEALLY

Objective: Three type of seaweed was chosen for the study namely Gracilaria corticata, Ulva lactuca and Stocheospermum marginatum and was extracted with ethanol.Methods: The fishes [Common carp (Cyprinus carpio) (weight 10±5g)] were divided into five groups. They were infected with A. hydrophila (1.6 × 104 CFU/fish). The infected three groups were injected with seaweed extract (0.20 mg) suspended in saline solution. One group was injected only saline control the other one group was injected with ciprofloxacin (0.20 mg) (standard) suspended in saline. The experiment was carried out for 28 d. Every seven days interval the fishes were injected with seaweed extract and blood parameters of RBC, WBC, HB, Ht, MCV, MCH, and MCHC were recorded.Results: The MCHC value of Gracilaria corticata was recorded in 28th day (29.28±1.15) g/l. In Stocheospermum marginatum, the MCHC value was found in (27.19±1.62) g/l on 28th day. The Ulva lactuca had a MCHC value of (26.80±2) g/l on 28th day.Conclusion: From this study, we can understand that the fish injected with seaweed extracts as good Immunostimulants properties. Â

Materials and Components for Low Temperature Solid Oxide Fuel Cells – an Overview

This article summarizes the recent advancements made in the area of materials and components for low temperature solid oxide fuel cells (LT-SOFCs). LT-SOFC is a new trend in SOFCtechnology since high temperature SOFC puts very high demands on the materials and too expensive to match marketability. The current status of the electrolyte and electrode materials used in SOFCs, their specific features and the need for utilizing them for LT-SOFC are presented precisely in this review article. The section on electrolytes gives an overview of zirconia, lanthanum gallate and ceria based materials. Also, this review article explains the application of different anode, cathode and interconnect materials used for SOFC systems. SOFC can result in better performance with the application of liquid fuels such methanol and ethanol. As a whole, this review article discusses the novel materials suitable for operation of SOFC systems especially for low temperature operation

Evaluation of erythrocyte membrane lipids and proteins in renal disorders

Background: Membrane lipids and proteins play a significant part in imparting membrane its rheological properties. These parameters are altered in diseased states. Exploring the conformational changes in renal disorders can widen our understanding of its impact on the circulatory system. This could lead to a new diagnostic parameter to study the progress of a disease.Methods: 120 blood samples collected from 30 kidney donors, 30 stage 3-4 Chronic kidney disease (CKD) patients (group 1) and 30 stage 5 CKD patients on dialysis (pre and post dialysis) (group 2) were lysed and washed to obtain erythrocyte ghost membranes. The proteins extracted from these membranes were estimated colorimetrically using Micro BCA kit. Phospholipids were separated and quantified using HPTLC. Fatty acids and cholesterol were analysed using GCMS.Results: The erythrocyte membrane protein profile showed lower values in group 2 participants than group 1 participants, but this difference was not significant. Distinct decreases in percentages of palmitic acid, myristic acid, stearic acid, dodecanoic acid, cholesterol, phosphatidylserine, phosphatidylcholine and phosphatidylethanolamine were observed in both groups, with the lowest values in patients undergoing dialysis. Sphingomyelin and linoleic acid did not show any such trend across groups.Conclusions: The data is suggestive of an altered membrane structure in participants undergoing dialysis patients than the control group. This could be because of uremic toxins in the circulatory system affecting the membrane lipids. Decreased levels of essential phospholipids can impact the functions and lifespan of the erythrocytes. This could be a reason behind anaemia seen in most patients with CKD

Feature Extraction in Music information retrival using Machine Learning Algorithms

Music classification is essential for faster Music record recovery. Separating the ideal arrangement of highlights and selecting the best investigation technique are critical for obtaining the best results from sound grouping. The extraction of sound elements could be viewed as an exceptional case of information sound information being transformed into sound instances. Music division and order can provide a rich dataset for the analysis of sight and sound substances. Because of the great dimensionality of sound highlights as well as the variable length of sound fragments, Music layout is dependent on the overpowering computation. By focusing on rhythmic aspects of different songs, this article provides an introduction of some of the possibilities for computing music similarity. Almost every MIR toolkit includes a method for extracting the beats per minute (BPM) and consequently the tempo of each music. The simplest method of computing very low-level rhythmic similarities is to sort and compare songs solely by their tempo There are undoubtedly far better and more precise solutions.  work discusses some of the most promising ways for computing rhythm similarities in a Big Data framework usaing machine Learning algorithms