Adhesion characteristics of nitrifying bacteria in activated sludge

Nitrifiers are known to form relatively dense and strong microcolonies in activated sludge flocs, but little is known about their adhesion characteristics and how these are relative to other floc components. The size distribution of ammonia and nitrite-oxidizing bacteria (Nitrosomonas oligotropha and Nitrospira spp.) in activated sludge from a nutrient removal plant showed that the majority of N. oligotropha cells formed microcolonies with a diameter of 13-22.5 microm, and most Nitrospira spp. cells formed microcolonies with a diameter of 9-22.5 microm. By applying high shear forces (2200 s(-1)), the largest microcolonies of N. oligotropha fragmented to a level well below the Kolmogorov microscale (approx. 15-25 microm). Only very little erosion of single cells took place. Nitrospira spp. microcolonies were generally slightly stronger than N. oligotropha. In order to characterize the adhesion/binding mechanisms for the individual microcolonies, a number of different physico-chemical treatments were combined with shear, and even though this did not lead to any explicit characterization of the species-specific adhesion mechanisms, entanglement of extracellular polymers was proposed as a plausible important adhesion mechanism. When compared to other floc components, the deflocculated fractions of N. oligotropha and Nitrospira spp. were much lower than those of cells in general (total cell count, DAPI) or the organic matter. Deflocculation of N. oligotropha ranged from 3% to 11% of the total N. oligotropha biovolume, Nitrospira spp. from 1% to 4% of the total Nitrospira spp. biovolume, whereas the number of deflocculated cells was 9-54% of the total cell count, and the deflocculated organic matter constituted 8-43% of the total amount of organic matter. These results clearly showed that activated sludge contained a large pool of loosely attached cells and extracellular polymeric substances, and that the nitrifiers and some other microcolony formers were very strong and remained almost intact even under extreme physical and chemical conditions.     

Efficient optical trapping and visualization of silver nanoparticles

We performed efficient optical trapping combined with sensitive optical detection of individual silver nanoparticles. The particles ranging in size from 20 to 275 nm in diameter were trapped in three dimensions using low laser power by minimizing spherical aberrations at the focus. The optical forces were quantified, and we found that the larger the particle, the stronger the optical force. The particles were imaged by an additional strongly scattered laser.     

Expanding the optical trapping range of lipid vesicles to the nanoscale

Small unilamellar lipid vesicles with diameters down to 50 nm enclosing high refractive index sucrose cores can be optically trapped individually in three dimensions using a focused laser beam. Combined optical trapping and confocal microscopy allows for simultaneous quantitative measurements of the forces exerted on individual vesicles and of their size and shape. The position of individual vesicles in three dimensions is measured with nanometer spatial and ～10 μs temporal resolution.     

Health-Related Evaluation of Building Products based on Climate Chamber Tests

A procedure is developed for assessing the health effects of the emissions from building products. The procedure is based on:

• ? emission rates measured in environment test chambers
• ? a fixed standard room with fixed standard conditions
• ? a maximum acceptable concentration in the indoor air of each of the chemical compounds emitted, I_v a maximum permissible contribution to I_v from building products.

The procedure has two elements: evaluation of the emitted compound alone and evaluation of the compound together with other compounds and indoor air factors. The evaluation includes odour and health effects of the compounds. The procedure has been applied to the emission test results for two building products: a rubber floor covering, and a water-borne acrylic watt paint. Maximum acceptable indoor air concentrations are listed fin-selected chemical compounds emitted by these two materials.     

Human exposure to contaminants in the traditional Greenland diet

The traditional diet is a significant source of contaminants to people in Greenland, although contaminant levels vary widely among species and tissue from very low in many to very high in a few. Our study has included cadmium, mercury, selenium, polychlorinated biphenyls (PCB), dichlorophenyltrichloroethane (DDT), chlordane, hexachlorocyclohexanes (HCH), chlorobenzenes, dieldrin and toxaphene in the major species and tissues consumed by Greenlanders. In general, the levels of these are very low in terrestrial species and in muscle of many marine species. High organochlorines concentrations are typically found in blubber of marine mammals and high metal levels in liver and kidney of seals and whales. In this study, the mean intakes of cadmium, chlordanes and toxaphene significantly exceed 'acceptable/tolerable intakes' (ADI/TDI) by a factor between 2.5 and 6. Mean intakes of mercury, PCB and dieldrin also exceed ADI/TDI by up to approximately 50%. However as these figures are mean intakes and as variation in both food intake and contaminant levels is large, the variation of contaminant intake among individuals is also large, and some individuals will be exposed to significantly higher intakes. The mean intakes of DDT, HCH and chlorobenzenes are well below the ADI/TDI values, and it seems unlikely that the TDI for these contaminants normally is exceeded in the Greenland population. The evaluation of contaminant intake in this study points to seal muscle, seal liver, seal kidney, seal blubber and whale blubber as the dominant contributors of contaminants in the traditional diet. Levels in liver from Greenland halibut, snow crab, king eider, kittiwake, beluga and narwhal and kidney of beluga and narwhal are also high but were, with the exception of toxaphene in Greenland halibut liver, not important sources in this study, because they were eaten in low quantities. A way to minimize contaminant intake would be to avoid or limit the consumption of diet items with high contaminant levels. If we assume a traditional diet composition in this study without fish liver, bird liver, seal liver, seal kidney, seal blubber, whale liver, whale kidney and whale blubber, the intake of all contaminants would be below the TDIs for these. This will result in a reduction of the intake of the amount of traditional food of only 24-25%, and it is not likely that this changed diet will result in deficiency of minerals, vitamins or other nutritional compounds.     

Multiple Protective Roles of Nanoliposome-Incorporated Baicalein against Alpha-Synuclein Aggregates

Nanoparticles are useful for increasing drug stability, solubility, and availability. The small molecule baicalein inhibits fibrillation, and detoxifies aggregates of α-synuclein (αSN) associated with Parkinson's disease (PD), but it suffers from instability, low solubility and consequent low availability. Here it is demonstrated that incorporation of baicalein into zwitterionic nanoliposomes (NLP-Ba) addresses these problems. NLP-Ba inhibits αSN fibril initiation, elongation, secondary nucleation, and also depolymerizes mature fibrils more effectively than free baicalein and prevents soluble αSN aggregates from seeding new fibrils. Importantly, NLP-Ba perturbs oligomers’ capacity to permeabilize the membrane. The interaction between NLP-Ba and αSN is confirmed by different biophysical techniques. This nanosystem crosses the blood-brain barrier in vitro and is effective against rotenone neurotoxicity in vivo. The effect of NLP-Ba on αSN fibrillation/cytotoxicity is attributed to a combination of free baicalein and empty NLPs. The results indicate a neuroprotective role for NLP-Ba in decreasing αSN pathogenicity in PD and highlight the use of nanoliposomes to mobilize poorly soluble hydrophobic drugs.     

Polymeric Nanoparticles with Neglectable Protein Corona

The current understanding of nanoparticle–protein interactions indicates that they rapidly adsorb proteins upon introduction into a living organism. The formed protein corona determines thereafter identity and fate of nanoparticles in the body. The present study evaluates the protein affinity of three core‐crosslinked polymeric nanoparticles with long circulation times, differing in the hydrophilic polymer material forming the particle surface, namely poly(N‐2‐hydroxypropylmethacrylamide) (pHPMA), polysarcosine (pSar), and poly(ethylene glycol) (PEG). This includes the nanotherapeutic CPC634, which is currently in clinical phase II evaluation. To investigate possible protein corona formation, the nanoparticles are incubated in human blood plasma and separated by asymmetrical flow field‐flow fractionation (AF4). Notably, light scattering shows no detectable differences in particle size or polydispersity upon incubation with plasma for all nanoparticles, while in gel electrophoresis, minor amounts of proteins can be detected in the particle fraction. Label‐free quantitative proteomics is additionally applied to analyze and quantify the composition of the proteins. It proves that some proteins are enriched, but their concentration is significantly less than one protein per particle. Thus, most of the nanoparticles are not associated with any proteins. Therefore, this work underlines that polymeric nanoparticles can be synthesized, for which a protein corona formation does not take place.     

Model of a synthetic wind speed time series generator

Wind energy has assumed a great relevance in the operation and planning of today's power systems due to the exponential increase of installations in the last 10 years. For this reason, many performed studies have looked at suitable representations of wind generation for power system analysis. One of the main elements to consider for this purpose is the model of the wind speed that is usually required as input. Wind speed measurements may represent a solution for this problem, but, for techniques such as sequential Monte Carlo simulation, they have to be long enough in order to describe a wide range of possible wind conditions. If these information are not available, synthetic wind speed time series may be a useful tool as well, but their generator must preserve statistical and stochastic features of the phenomenon. This paper deals with this issue: a generator for synthetic wind speed time series is described and some statistical issues (seasonal characteristics, autocorrelation functions, average values and distribution functions) are used for verification. The output of the model has been designed as input for sequential Monte Carlo simulation; however, it is expected that it can be used for other similar studies on wind generation. Copyright © 2007 John Wiley & Sons, Ltd.