Bioconversion of agro-industrial wastes for the production of fibrinolytic enzyme from Bacillus halodurans IND18: Purification and biochemical characterization

Background: Agro-wastes were used for the production of fibrinolytic enzyme in solid-state fermentation. The process parameters were optimized to enhance the production of fibrinolytic enzyme from Bacillus halodurans IND18 by statistical approach. The fibrinolytic enzyme was purified, and the properties were studied. Results: A two-level full factorial design was used to screen the significant factors. The factors such as moisture, pH, and peptone were significantly affected enzyme production and these three factors were selected for further optimization using central composite design. The optimum medium for fibrinolytic enzyme production was wheat bran medium containing 1% peptone and 80% moisture with pH 8.32. Under these optimized conditions, the production of fibrinolytic enzyme was found to be 6851 U/g. The fibrinolytic enzyme was purified by 3.6-fold with 1275 U/mg specific activity. The molecular mass of fibrinolytic enzyme was determined by sodium dodecyl sulphate polyacrylamide gel electrophoresis, and it was observed as 29 kDa. The fibrinolytic enzyme depicted an optimal pH of 9.0 and was stable at a range of pH from 8.0 to 10.0. The optimal temperature was 60°C and was stable up to 50°C. This enzyme activated plasminogen and also degraded the fibrin net of blood clot, which suggested its potential as an effective thrombolytic agent. Conclusions: Wheat bran was found to be an effective substrate for the production of fibrinolytic enzyme. The purified fibrinolytic enzyme degraded fibrin clot. The fibrinolytic enzyme could be useful to make as an effective thrombolytic agent.

Assessment of ground water quality in Mukkam, Chepalakancheru and Dallipeta: Coastal Villages of Vizianagaram District of Andhra Pradesh.

The present work was under taken to analyze the various water quality parameters, viz. pH, electrical conductivity, total dissolved solids, total alkalinity, total hardness, chloride, calcium, magnesium, sodium, potassium and to assess the water quality in bore well and well water samples of three coastal villages Mukkam, Chepalakancheru and Dallipeta of Vizianagaram district of Andhra Pradesh. From each of the village, different sampling stations were identified and by composite sampling methods water samples were collected and analyzed for the various parameters. The results were compared with the values stipulated by World Health Organization (WHO), and ARE: 10500 for drinking water quality. In the present investigation the authors found that the overall quality of the three villages is poor and not recommended as potable.

Modelling population growth on public water and sanitation facilities using GIS and statistics: A case study of Aboabo, Ghana.

Background: Effect of population increase on public water and sanitation facilities in densely populated area, Aboabo, Kumasi, Ghana. Materials and Methods: Town sheet maps, layout and population census data of Aboabo. GPS for observing spatial locations existing water and sanitation facilities and field verification exercise in the study. GIS for building geodatabase, digitization and Cartographic Visualization. Questionnaires were used to collect non-spatial information on the sanitation facilities and all public facilities. Results: GIS and a Statistical Approach have been respectively used to develop cartographic and mathematical models to analyse, predict and visualize the effect of population increase on public water and sewage facilities in densely populated area. The developed mathematical models correlates with the population at each instance to the required number of water accessible points or standing pipes as well as the number of required public toilet (sewage) facilities. The cartographic and mathematical models provides an efficient and effective means of mitigating diseases associated with water and sanitation; and informs planners and assembly members of the effects of increasing population on public facilities for proper future planning and geospatial decision making; and to ensure proper infrastructural management at the community levels. Conclusions: Effective decision support systems for analysing, predicting and visualizing public water and sewage facilities in densely populated area. Draws the awareness of the government, concerned groups and non-Governmental Organizations (NGO's) to the extreme detrimental effect that the increase in population has, especially on public water and sewage facilities and how it can be managed at the community level.