Scanning electron microscopy-energy dispersive X-ray spectrometry (SEM-EDX) and aerosol time-of-flight mass spectrometry (ATOFMS) single particle analysis of metallurgy plant emissions.

The chemical composition of single particles deposited on industrial filters located in three different chimneys of an iron-manganese (Fe-Mn) alloy manufacturing plant have been compared using aerosol time-of-flight mass spectrometry (ATOFMS) and scanning electron microscopy-energy dispersive X-ray spectrometry (SEM-EDX). Very similar types of particles were observed using both analytical techniques. Calcium-containing particles dominated in the firing area of the sintering unit, Mn and/or Al-bearing particles were observed at the cooling area of the sintering unit, while Mn-containing particles were dominant at the smelting unit. SEM-EDX analysis of particles collected downstream of the industrial filters showed that the composition of the particles emitted from the chimneys is very similar to those collected on the filters. ATOFMS analysis of ore samples was also performed to identify particulate emissions that could be generated by wind erosion and manual activities. Specific particle types have been identified for each emission source (chimneys and ore piles) and can be used as tracers for source apportionment of ambient PM measured in the vicinity of the industrial site.

Dent and Flint maize diversity panels reveal important genetic potential for increasing biomass production.

KEY MESSAGE: Genetic and phenotypic analysis of two complementary maize panels revealed an important variation for biomass yield. Flowering and biomass QTL were discovered by association mapping in both panels. The high whole plant biomass productivity of maize makes it a potential source of energy in animal feeding and biofuel production. The variability and the genetic determinism of traits related to biomass are poorly known. We analyzed two highly diverse panels of Dent and Flint lines representing complementary heterotic groups for Northern Europe. They were genotyped with the 50 k SNP-array and phenotyped as hybrids (crossed to a tester of the complementary pool) in a western European field trial network for traits related to flowering time, plant height, and biomass. The molecular information revealed to be a powerful tool for discovering different levels of structure and relatedness in both panels. This study revealed important variation and potential genetic progress for biomass production, even at constant precocity. Association mapping was run by combining genotypes and phenotypes in a mixed model with a random polygenic effect. This permitted the detection of significant associations, confirming height and flowering time quantitative trait loci (QTL) found in literature. Biomass yield QTL were detected in both panels but were unstable across the environments. Alternative kinship estimator only based on markers unlinked to the tested SNP increased the number of significant associations by around 40% with a satisfying control of the false positive rate. This study gave insights into the variability and the genetic architectures of biomass-related traits in Flint and Dent lines and suggests important potential of these two pools for breeding high biomass yielding hybrid varieties.

Maximizing the reliability of genomic selection by optimizing the calibration set of reference individuals: comparison of methods in two diverse groups of maize inbreds (Zea mays L.).

Genomic selection refers to the use of genotypic information for predicting breeding values of selection candidates. A prediction formula is calibrated with the genotypes and phenotypes of reference individuals constituting the calibration set. The size and the composition of this set are essential parameters affecting the prediction reliabilities. The objective of this study was to maximize reliabilities by optimizing the calibration set. Different criteria based on the diversity or on the prediction error variance (PEV) derived from the realized additive relationship matrix-best linear unbiased predictions model (RA-BLUP) were used to select the reference individuals. For the latter, we considered the mean of the PEV of the contrasts between each selection candidate and the mean of the population (PEVmean) and the mean of the expected reliabilities of the same contrasts (CDmean). These criteria were tested with phenotypic data collected on two diversity panels of maize (Zea mays L.) genotyped with a 50k SNPs array. In the two panels, samples chosen based on CDmean gave higher reliabilities than random samples for various calibration set sizes. CDmean also appeared superior to PEVmean, which can be explained by the fact that it takes into account the reduction of variance due to the relatedness between individuals. Selected samples were close to optimality for a wide range of trait heritabilities, which suggests that the strategy presented here can efficiently sample subsets in panels of inbred lines. A script to optimize reference samples based on CDmean is available on request.

Evaluation of quantitative procedures for X-ray microanalysis of environmental particles.

Scanning electron microscopy combined with energy-dispersive X-ray spectrometry is particularly suited to characterizing morphology and elemental composition of individual microparticles. Although not straightforward, quantitative X-ray microanalysis of low-Z-containing particles is achievable using atmospheric thin-window X-ray detectors. A critical aspect of light element analysis is the choice of substrate material. In this work, particles were deposited on specially developed boron substrates. Three case studies were investigated successively in the order of increasing difficulty. Firstly, hundreds of calcium carbonate (CaCO(3)) particles ranging in size from 0.3 to 10 microm were analyzed. Three quantitative procedures were tested: the "k-ratio" method, conventional ZAF correction, and Monte Carlo simulations. Average relative errors obtained by the reverse Monte Carlo quantitative program named CASINO were better than 2.5 wt %, carbon included. Secondly, further evaluation was carried out on a finely crushed biotite mineral, containing more than nine elements. Finally, airborne particulate matter, consisting of a complex heterogeneous mixture of particles, was investigated. By applying the Monte Carlo quantitative procedure, the observed particles were easily classified into particle types. Pure compounds (e.g., CaSO(4).2H(2)O, SiO(2), CaCO(3), etc) were directly assigned according to stoichiometry. In some cases (marine-derived particles), a partial reactivity of atmospheric particles was demonstrated by quantitative analysis.

Assessment of pollution aerosols sources above the Straits of Dover using lead isotope geochemistry.

We assess the capability of lead isotopes to study the transport of pollution aerosols above the Straits of Dover by collecting atmospheric aerosols above the Eastern Channel and the Southern Bight of the North Sea. During the same period, we characterized the lead isotopic signature of the main industrial sources on the French coast near the Straits of Dover. Urban and automobile-derived aerosols were also collected. Due to the phasing out of lead in gasoline, the urban isotopic composition (206Pb/207Pb = 1.158 +/- 0.003) has become more radiogenic, although it is highly variable. On a regional scale, major industrial emissions have a well-defined isotopic composition (1.13 < 206Pb/207Pb < 1.22), more radiogenic than the petrol-lead signature (1.06 < 206Pb/207Pb < 1.12). These results together with those measured near the main coastal highway show that the automobile source has become a minor component of particulate lead in air. On a local scale, Dunkerque, the most urbanized and industrialized area along the Straits of Dover, may transiently control elevated lead concentrations. Except for the occurrence of local and regional range transport episodes, lead concentrations in the Straits of Dover can be related to remote or semi-remote pollution source emissions. Combining air mass retrospective trajectories and related lead abundances and isotopic compositions, it can be shown that lead aerosols originating from eastern Europe have an isotopic signature (1.145 < 206Pb/207Pb < 1.169) different from the isotopic composition of west-European lead aerosols (1.111 < 206Pb/207Pb < 1.142). The influence of remote North American sources is suggested, with caution, due to uncertainties in meteorological calculations.

Central venous catheter-related bacteraemia in critically ill neonates: risk factors and impact of a prevention programme.

Risk factors for central venous catheter (CVC)-related bacteraemia among infants admitted to a neonatal intensive care unit (NICU) were analysed and the impact of surveillance and continuing education on the incidence of this complication investigated. Among patients admitted to a NICU, CVC-related bacteraemia increased from 1/15 (7%) in 1987 to 11/26 (42%) in 1988 (P = 0.01). Coagulase-negative staphylococci isolated from bacteraemia patients showed clonal diversity by plasmid and chromosomal fingerprinting. A review of CVC care procedures suggested breaches in aseptic techniques. Catheter-care technique was revised to ensure maximal aseptic precautions, including the use of sterile gloves, gown and drapes. The new policy was promoted by a continuing education programme and regular feed-back of CVC-related bacteraemia incidence to NICU staff. In the four-year follow-up period, the attack-rate of CVC-related bacteraemia decreased to 18/156 (12%) patients [relative risk (RR): 0.27, 95% confidence interval (CI); 0.15-0.51; P < 0.001 vs the previous period]. By using the Cox's model proportional hazards, very low birthweight and the period before use of strict aseptic CVC care were found to be predictors of increased risk of catheter-related bacteraemia after adjustment for duration of catheterization. These data provide further evidence that strict aseptic precautions during the maintenance and utilization of CVC can contribute to lower the risk of catheter infection in critically ill neonates. Regular feedback of surveillance data was associated with a progressive decrease in incidence of infection, suggesting that it improved staff compliance with aseptic precautions.

[Intravitreous hemorrhage caused by retinal tear with a bridge vessel. Discussion on management of 4 cases]. / Hémorragie intra-vitréenne par déchirure rétinienne avec vaisseau en pont. Discussion de la conduite à tenir à propos de 4 observations.

The authors report 4 cases of recurrent vitreous hemorrhage related to retinal breaks without detachment, bridged by a retinal vessel. Clinical and evolutive features of this type of breaks are emphasized according to a review of available literature. Fluoroscopic evaluation of vascular permeability appears as a promising prognostic tool. Management should be directed to the prevention of both retinal detachment and vitreous hemorrhage recurrence. Cryoapplication and scleral buckling is far more effective than photocoagulation.

Ultrastructural aspects of streptozotocin cytotoxicity on rat pancreatic islets in vitro. Test of a protective effect of zinc.

Pancreatic islets, newly formed in vitro were incubated in the presence of streptozotocin (STZ; 0.4 mM) for up to 6 h. Ultrastructural changes first appeared between 2 and 4 h; heterochromatization, was followed by swelling of nuclear and reticular membranes, vesiculation of the Golgi apparatus, fragmentation of cell membranes and finally mitochondrial destruction. At the end of the experiment all the B cells were destroyed, whereas the other cell types remained intact. Exogenous ZnSO4 was added during preincubation periods to increase the intrainsular zinc content and to determine any protective effect against STZ-cytotoxicity. Since the addition of zinc had no obvious effect, it is suggested that STZ cytotoxicity on B cells cannot be attributed to competition for zinc between copper-zinc superoxide dismutase (Cu-Zn-SOD) and the crystallization of insulin.