A pigment is a naturally occurring colored substance that is created by plants, animals, and microbes. Pigments are utilized in a variety of industries, including food coloring, pharmaceuticals, fabric dying, cosmetics, ink plastics, coloring paints, and so on. The Natural pigments /Bio pigments are very expensive because mass production is difficult. There are more pigments in nature, but only a small number are available in large enough amounts to be useful for industry. This study is attempted to isolate a bacterial red pigmented organism from facial acne was identified as Serratia marcescens MBM-17 according to Bergey's manual of determinative bacteriology and molecular characterization and production of red pigment was optimized at various growth factors, maximum pigment production was at pH 4, 72 h and 37 ± 2°C, that is, 15.56 g/ L. The partial purified pigment was characterized by UV–Vis, and maximum absorbance was at 533.5 nm. SEM analysis shows that the surface morphology and FTIR spectroscopy revealed the presence of prodigiosin. Prodigiosin has antibacterial efficacy against gram positive bacterial strains, Staphylococcus aureus, Bacillus sp, and gram negative bacterial strains. Klebsiella sp, Pseudomonas sp, Salmonella sp, antifungal potency against Aspergillus niger, Aspergillus flavus, Penicillium sp, Rhizopus sp, and Mucor sp, and checked the fabric dying effects of pigments. Prodigiosin used as fabric dye is applied on clothes, which shows good color tone. This study is highlighting the production of a natural pigment/drug, Prodigiosin with antimicrobial activity may be used for the manufacture of dyed dress materials and masks having antimicrobial action for public especially health workers in this pandemic situation. 相似文献
This paper develops a general model that can be used to determine the value of sequential forecasts. The model is used (1) to examine the interacting effects of strategies for coping with environmental uncertainty, and (2) to explore the relationship between the theories of sequential choice and quasi-option value. The framework presented bridges these two schools of thought and provides a tool for evaluating one time (e.g., climate change) or repetitive (e.g., pollution) forecasts of environmental damage. 相似文献
Abstract: The growing prevalence of fragmentation and fire in tropical forests makes it imperative to quantify changes in these disturbances and to understand the ways in which they interact across the landscape. I used a multitemporal series of Landsat images to study the incidence and coincidence of fire and fragmentation in two areas of Pará state in the eastern Brazilian Amazon: Tailândia and Paragominase. In both areas, deforestation and forest fires were quantified for time series of 6–10 years. The Tailândia study area typifies a landscape with the herringbone pattern of government-settled colonists, and the Paragominas area is dominated by large cattle ranches. In both areas, over 90% of the forests affected by fire were associated with forest edges. Although most burned forest occurred within 500 m of forest edges, some fires occurred in deep forest, several kilometers from any edge. The obvious synergism between forest fragmentation and fire poses serious risks to tropical ecosystems and has important implications for land management. 相似文献
Adaptation research has changed significantly in recent years as funders and researchers seek to encourage greater impact, ensure value for money and promote interdisciplinarity across the natural and social sciences. While these developments are inherently positive, they also bring fresh challenges. With this in mind, this paper presents an agenda for the next generation of climate adaptation research for development. The agenda is based on insights from a dialogue session held at the 2016 Adaptation Futures conference as well as drawing on the collective experience of the authors. We propose five key areas that need to be changed in order to meet the needs of future adaptation research, namely: increasing transparency and consultation in research design; encouraging innovation in the design and delivery of adaptation research programmes; demonstrating impact on the ground; addressing incentive structures; and promoting more effective brokering, knowledge management and learning. As new international funding initiatives start to take shape, we underscore the importance of learning from past experiences and scaling-up of successful innovations in research funding models.