Optimization of Polyhydroxyalkanoates Production from Thermus thermophilus HB8 Using Response Surface Methodology

The thermophilic bacterium Thermus thermophilus HB8 was used for the overproduction of polyhydroxyalkanoates (PHAs) using a mathematical approach for the first time for optimization of process variables. In addition, the combined effect of nitrogen and phosphate concentrations on PHAs production was also investigated. A five-level-three-factor central composite rotary design was employed in combination with response surface methodology (RSM) to optimize the process variables for the production of PHAs in Thermus thrermophilus HB8. The three independent variables studied in the work were cultivation time, C/N ratio and phosphate concentration. Two second-order polynomial equations were obtained for biomass and PHA production by multiple regression analysis using RSM. The statistical analyses of the results showed that all the three variables had significant impact both on the cell growth and polymer accumulation. The model predicted a maximum PHA production of 0.47?g/L which represents the 42?% of dry cell weight (DCW) after 55?h of cultivation and with on setting the C/N ratio at 9:1?g/g and phosphate concentration at 20?mM. Verification of the predicted value resulted into a PHA production of 0.44?g/L (40.36?% of DCW).     

Assessing and monitoring semi-arid shrublands using object-based image analysis and multiple endmember spectral mixture analysis

Arid and semi-arid shrublands have significant biological and economical values and have been experiencing dramatic changes due to human activities. In California, California sage scrub (CSS) is one of the most endangered plant communities in the US and requires close monitoring in order to conserve this important biological resource. We investigate the utility of remote-sensing approaches—object-based image analysis applied to pansharpened QuickBird imagery (QBPS/OBIA) and multiple endmember spectral mixture analysis (MESMA) applied to SPOT imagery (SPOT/MESMA)—for estimating fractional cover of true shrub, subshrub, herb, and bare ground within CSS communities of southern California. We also explore the effectiveness of life-form cover maps for assessing CSS conditions. Overall and combined shrub cover (i.e., true shrub and subshrub) were estimated more accurately using QBPS/OBIA (mean absolute error or MAE, 8.9 %) than SPOT/MESMA (MAE, 11.4 %). Life-form cover from QBPS/OBIA at a 25?×?25 m grid cell size seems most desirable for assessing CSS because of its higher accuracy and spatial detail in cover estimates and amenability to extracting other vegetation information (e.g., size, shape, and density of shrub patches). Maps derived from SPOT/MESMA at a 50?×?50 m scale are effective for retrospective analysis of life-form cover change because their comparable accuracies to QBPS/OBIA and availability of SPOT archives data dating back to the mid-1980s. The framework in this study can be applied to other physiognomically comparable shrubland communities.     

A study on the environmental degradation of pesticides azinphos methyl and parathion methyl

The effect of environmental parameters (temperature and relative humidity) on the degradation rate of azinphos methyl and parathion methyl was studied. Proprietary emulsifiable concentrates were diluted and added to each of 90 glass Petri dishes for each pesticide and were left overnight to dry. Petri dishes were placed in 18 air-tight containers (9 for each pesticide) in which were created environments with relative humidity (RH) of 60, 82, and 96%. The containers were stored at 0, 20, and 40 degrees C. From the experimental results best fit curves, kinetic equations, rate constants, and half-lives were calculated. Half-lives of azinphos methyl for the RH studied were, from 124 to 267 days at 0 degrees C, from 89 to 231 days at 20 degrees C, and from 25 to 71 days at 40 degrees C. Corresponding half-lives for parathion methyl were from 48 to 57 days at 0 degrees C, from 9.2 to 10.5 days at 20 degrees C and from 1.3 to 1.5 days at 40 degrees C. The results were correlated with relevant results from the decomposition of the same or similar pesticides on apples both, on the trees and during refrigerated storage. These correlations are suggesting that biological factors strongly affected the decomposition rate of azinphos methyl. On the contrary the decomposition of parathion methyl was mainly affected by environmental rather than biological factors.     

A geostatistical approach for mapping thematic classification accuracy and evaluating the impact of inaccurate spatial data on ecological model predictions

Spatial information in the form of geographical information system coverages and remotely sensed imagery is increasingly used in ecological modeling. Examples include maps of land cover type from which ecologically relevant properties, such as biomass or leaf area index, are derived. Spatial information, however, is not error-free: acquisition and processing errors, as well as the complexity of the physical processes involved, make remotely sensed data imperfect measurements of ecological attributes. It is therefore important to first assess the accuracy of the spatial information being used and then evaluate the impact of such inaccurate information on ecological model predictions. In this paper, the role of geostatistics for mapping thematic classification accuracy through integration of abundant image-derived (soft) and sparse higher accuracy (hard) class labels is presented. Such assessment leads to local indices of map quality, which can be used for guiding additional ground surveys. Stochastic simulation is proposed for generating multiple alternative realizations (maps) of the spatial distribution of the higher accuracy class labels over the study area. All simulated realizations are consistent with the available pieces of information (hard and soft labels) up to their validated level of accuracy. The simulated alternative class label representations can be used for assessing joint spatial accuracy, i.e., classification accuracy regarding entire spatial features read from the thematic map. Such realizations can also serve as input parameters to spatially explicit ecological models; the resulting distribution of ecological responses provides a model of uncertainty regarding the ecological model prediction. A case study illustrates the generation of alternative land cover maps for a Landsat Thematic Mapper (TM) subscene, and the subsequent construction of local map quality indices. Simulated land cover maps are then input into a biogeochemical model for assessing uncertainty regarding net primary production (NPP).