Microencapsulation of human insulin DEAE-dextran complex and the complex in liposomes by the emulsion non-solvent addition method

The blood levels of ethanol, acetaldehyde, acetate, methanol, acetone, lactate, pyruvate, and glucose were measured in 23 male alcohol-dependent patients on days 2 to 6 after hospitalization and in 22 healthy male blood donors. Correlations between the biochemical parameters and 17 symptoms of the alcohol-withdrawal syndrome (AWS) were calculated. Abnormally high levels of ethanol, methanol, acetate, and acetone as well as hypoglycaemia were found on day 2, but lactacidaemia and pyruvataemia were pronounced throughout the observation period. AWS severity correlated positively with the acetone content on day 2 and with the acetate content on days 2 to 6. Negative correlations were found between ethanol levels and craving for alcohol, methanol levels and craving for alcohol, and between psychopathologic disorders and the total AWS severity score. The results suggest that concentrations of blood ethanol, methanol, acetate, and acetone exceeding their normal endogenous levels can be used only as indicators of recent heavy drinking. Linear discriminant analysis using the levels of the nine parameters studied enabled the correct classification of 91% to 96% of alcoholic patients during 1 week of abstinence and 100% of control subjects. The most informative parameters in the discrimination between alcoholics and controls were lactate, pyruvate, the lactate/pyruvate ratio, acetate, and acetone.     

Bioconversion of hydrocortisone to prednisolone by immobilized bacterial cells in a two-liquid-phase system

Bioconversion of hydrocortisone to prednisolone by free, immobilized and reused immobilized cells of three bacterial strains (Bacillus sphaericus ATCC 13805, Bacillus sphaericus SRP III and Arthrobacter simplex 6946) in an aqueous and a two-liquid-phase system using different organic solvents was investigated. The experiments were carried out in a 125 cm³ shake flask at 27±2°C, 220 rpm for 96 h. The contents of prednisolone and hydrocortisone in samples taken at 0, 3, 6, 24, 48, 72, 96 and 144 h were determined by HPLC analysis. The immobilized bacterial cells showed higher prednisolone yield than the free form in an aqueous system. In the two-phase systems, the butyl acetate to aqueous media ratio of 1: 30 for all three bacterial strains in immobilized forms gave the highest prednisolone yields, at an incubation time of 144 h, of 87·6, 70·6 and 88·3% respectively. For an n-decane to aqueous ratio of 1: 6, moderate prednisolone yields of 81·8, 47·9 and 71·4% were obtained with shorter incubation times of 72, 96 and 6 h respectively. For cyclohexane and other alcohols, the organisms produced low yields of prednisolone (0–30%). Single reuse of all three immobilized bacterial cells gave a 3–20% lower yield of prednisolone than the non-reused cells. The increase in hydrocortisone concentration decreased the prednisolone production whereas increasing the n-decane to aqueous ratio from 1: 6 to 1: 3 caused no significant change in the productivity. © 1998 Society of Chemical Industry     

Controllable optical bistability and Fano line shape in a hybrid optomechanical system assisted by kerr medium: possibility of all optical switching

We theoretically analyse the optical and optomechanical nonlinearity present in a hybrid system consisting of a quantum dot(QD) coupled to an optomechanical cavity in the presence of a nonlinear Kerr medium, and show that this hybrid system can be used as an all optical switch. A high degree of control and tunability via the QD-cavity coupling strength, the Kerr and the optomechanical nonlinearity over the bistable behaviour shown by the mean intracavity optical field and the power transmission of the weak probe field can be achieved.The results obtained in this investigation has the potential to be used for designing efficient all-optical switch and high sensitive sensors for use in Telecom systems.     

Optical switching and normal mode splitting in hybrid semiconductor microcavity containing quantum well and Kerr medium driven by amplitude-modulated field

ABSTRACT

We theoretically investigate optical bistability/multistability for all optical switching signature in a hybrid semiconductor microcavity system comprising a quantum well and a Kerr nonlinear substrate. The system is essentially two optically coupled microcavities with one of the microcavity being driven by an external amplitude-modulated pump laser. We show that the switching between bistable and multistable behaviour is influenced by the modulated pump laser, Kerr nonlinearity and the optical coupling between the two microcavities. We further investigate the intracavity spectrum of quantum fluctuations which exhibit the well-known normal mode splitting (NMS). The NMS behaviour is also found to be influenced by the system parameters. These results demonstrate that the present hybrid nonlinear system can be used in designing sensitive optical devices.     

Uncertainty analysis of life cycle greenhouse gas emissions from petroleum-based fuels and impacts on low carbon fuel policies

The climate change impacts of U.S. petroleum-based fuels consumption have contributed to the development of legislation supporting the introduction of low carbon alternatives, such as biofuels. However, the potential greenhouse gas (GHG) emissions reductions estimated for these policies using life cycle assessment methods are predominantly based on deterministic approaches that do not account for any uncertainty in outcomes. This may lead to unreliable and expensive decision making. In this study, the uncertainty in life cycle GHG emissions associated with petroleum-based fuels consumed in the U.S. is determined using a process-based framework and statistical modeling methods. Probability distributions fitted to available data were used to represent uncertain parameters in the life cycle model. Where data were not readily available, a partial least-squares (PLS) regression model based on existing data was developed. This was used in conjunction with probability mixture models to select appropriate distributions for specific life cycle stages. Finally, a Monte Carlo simulation was performed to generate sample output distributions. As an example of results from using these methods, the uncertainty range in life cycle GHG emissions from gasoline was shown to be 13%-higher than the typical 10% minimum emissions reductions targets specified by low carbon fuel policies.     

Photovoltaic power generation using albedo and thermal radiations in the satellite orbits around planetary bodies

In this paper, we have studied photovoltaic power generation in satellite orbits around different planetary objects using albedo and thermal radiations. We have addressed the power generation in the darkside of satellite orbits using solar cells in particular. LILT solar cells can be used for photovoltaic power generation in the darkside of satellite orbits around moon, mars etc. receiving the weak albedo radiation from the nearby brightest celestial object. We can also make use of the emerging IR photovoltaic technology to generate power using planetary thermal radiation from the nightside of planets like earth.     

Uncertainty in life cycle greenhouse gas emissions from United States natural gas end-uses and its effects on policy

Increasing concerns about greenhouse gas (GHG) emissions in the United States have spurred interest in alternate low carbon fuel sources, such as natural gas. Life cycle assessment (LCA) methods can be used to estimate potential emissions reductions through the use of such fuels. Some recent policies have used the results of LCAs to encourage the use of low carbon fuels to meet future energy demands in the U.S., without, however, acknowledging and addressing the uncertainty and variability prevalent in LCA. Natural gas is a particularly interesting fuel since it can be used to meet various energy demands, for example, as a transportation fuel or in power generation. Estimating the magnitudes and likelihoods of achieving emissions reductions from competing end-uses of natural gas using LCA offers one way to examine optimal strategies of natural gas resource allocation, given that its availability is likely to be limited in the future. In this study, the uncertainty in life cycle GHG emissions of natural gas (domestic and imported) consumed in the U.S. was estimated using probabilistic modeling methods. Monte Carlo simulations are performed to obtain sample distributions representing life cycle GHG emissions from the use of 1 MJ of domestic natural gas and imported LNG. Life cycle GHG emissions per energy unit of average natural gas consumed in the U.S were found to range between -8 and 9% of the mean value of 66 g CO(2)e/MJ. The probabilities of achieving emissions reductions by using natural gas for transportation and power generation, as a substitute for incumbent fuels such as gasoline, diesel, and coal were estimated. The use of natural gas for power generation instead of coal was found to have the highest and most likely emissions reductions (almost a 100% probability of achieving reductions of 60 g CO(2)e/MJ of natural gas used), while there is a 10-35% probability of the emissions from natural gas being higher than the incumbent if it were used as a transportation fuel. This likelihood of an increase in GHG emissions is indicative of the potential failure of a climate policy targeting reductions in GHG emissions.     

Chemical stability enhancement and cytotoxicity reduction of papain loaded in PLGA nanospheres

Poly(lactic-co-glycolic acid) (PLGA) nanospheres loaded with papain were prepared by the emulsion solvent diffusion in water (ESD) and the w/o/w emulsion solvent evaporation (ESE) methods. The nanosphere loaded with papain from the ESE method gave smaller particle sizes (220–232?nm) and higher encapsulation efficiency of about two-folds than those from the ESD method. The morphology of the nanospheres loaded with papain prepared by the ESE method exhibited spherical shape and smooth surface investigated by SEM and TEM. The release profile of papain from the PLGA nanospheres of the ESD and ESE method indicated two phases with an initial rapid phase of 6?h and followed by the slow release phase of 48?h. The unloaded PLGA nanospheres from the two methods did not show any cytotoxicity in human skin fibroblasts, while the unloaded papain gave toxicity more than the loaded papain of 1.5 times. Papain loaded in PLGA nanospheres prepared by the ESE method was more chemical stable than the unloaded papain of eight and three times when kept at 4°C and 25°C for 6 weeks, respectively. The developed stable and low cytotoxic nanosphere loaded with papain can be further developed as topical products.     

Implications of Near-Term Coal Power Plant Retirement for SO(2) and NO(X) and Life Cycle GHG Emissions

Regulations monitoring SO(2), NO(X), mercury, and other metal emissions in the U.S. will likely result in coal plant retirement in the near-term. Life cycle assessment studies have previously estimated the environmental benefits of displacing coal with natural gas for electricity generation, by comparing systems that consist of individual natural gas and coal power plants. However, such system comparisons may not be appropriate to analyze impacts of coal plant retirement in existing power fleets. To meet this limitation, simplified economic dispatch models for PJM, MISO, and ERCOT regions are developed in this study to examine changes in regional power plant dispatch that occur when coal power plants are retired. These models estimate the order in which existing power plants are dispatched to meet electricity demand based on short-run marginal costs, with cheaper plants being dispatched first. Five scenarios of coal plant retirement are considered: retiring top CO(2) emitters, top NO(X) emitters, top SO(2) emitters, small and inefficient plants, and old and inefficient plants. Changes in fuel use, life cycle greenhouse gas emissions (including uncertainty), and SO(2) and NO(X) emissions are estimated. Life cycle GHG emissions were found to decrease by less than 4% in almost all scenarios modeled. In addition, changes in marginal damage costs due to SO(2), and NO(X) emissions are estimated using the county level marginal damage costs reported in the Air Pollution Emissions Experiments and Policy (APEEP) model, which are a proxy for measuring regional impacts of SO(2) and NO(X) emissions. Results suggest that location specific parameters should be considered within environmental policy frameworks targeting coal plant retirement, to account for regional variability in the benefits of reducing the impact of SO(2) and NO(X) emissions.     

Relationship between biological activities and bioactive compounds in the fermented rice sap

Various rice (Oryza sativa L. var. indica), including white plain, purple plain, brown plain, white glutinous and purple glutinous rice, were fermented with Look Pang (a mixed culture of yeasts and molds). The sap samples were assayed for the bioactive compounds (unsaturated fatty acids, total phenolic compounds and total anthocyanin) and the biological activities (antioxidative, tyrosinase inhibition, cell proliferation and MMP-2 inhibition activities). The fermented purple plain sap samples at day 6th of the fermentation period showed high antioxidative, the highest tyrosinase inhibition and MMP-2 inhibition activities with low cytotoxicity to normal human skin fibroblast by SRB assay in comparing to other rice sap samples. This study has indicated the strong positive relationship between the bioactive compounds and the biological activities of the purple rice sap which can be further developed as functional foods and cosmetics.