Exposure impacts of Imazapyr formulation on larval development and thyroid histology of Xenopus laevis

Environmental Science and Pollution Research - There are increased concerns about the thyroidal effects of many anthropogenic substances in the environment. These substances include agricultural...     

Bees use three-dimensional information to improve target detection

Bumblebee detection of a flat circular disc (two-dimensional (2D) presentation) and a disc which was presented 10 cm in front of a structured background (and thus provided three-dimensional (3D) cues) was compared. A dual choice test using a Y-maze apparatus was conducted to estimate the minimum visual angle at which the bees were able to detect the disc. At large visual angles of 15, 10 and 5° bees’ performance between the 2D and the 3D presentation did not differ. However, when the disc subtended 3° at the bee’s eye, the bees performed significantly better when 3D information was available. Overall, bees were able to detect a target subtending a 40% smaller visual angle when it was presented in front of the structured background compared to a 2D presentation. This suggests that previous reports on the limits of target detection in bees using flat stimuli might have underestimated the bees’ ability to locate small flowers under natural conditions. Bees use motion parallax, i.e. the apparent relative motion of a stationary object against a background, for perceiving the third dimension. Our data suggest that bumblebees can integrate information from at least two types of feature detectors, motion and area, to improve single target detection.     

Evaluation of old landfills--a thermoanalytical and spectroscopic approach

Abandoned landfills and dumps, where untreated waste materials were deposited in the past, are a main anthropogenic source of relevant gaseous emissions. The determination of stability is a crucial target in the context of landfill risk assessment. FTIR spectroscopy and simultaneous thermal analysis in association with multivariate statistical methods were applied to landfill materials in order to get information on the kind of waste and its reactivity. The spectral and thermal patterns are fingerprints of the material. Industrial waste and the material from a 5-year-old reactor landfill were distinguished from the defined classes of mechanically-biologically treated ("MBT") waste and 30 to 40-year-old stable landfills containing municipal solid waste and construction waste ("LF") by a classification model based on soft independent modeling of class analogy (SIMCA). Degradation experiments were carried out with the fresh material originating from one MBT plant that was subjected to aerobic and anaerobic conditions in lab-scale reactors. These samples were compared to samples of one reactor landfill and to the landfill fraction from the MBT plant to demonstrate the efficiency of the biological pretreatment before final disposal. Prediction models that are based on spectral or thermal characteristics and the corresponding reference analyses were calculated by means of a partial least squares regression (PLS-R). The developed models of the biological oxygen demand (BOD) and the dissolved organic carbon (DOC) were based on spectral data, the models of the total organic carbon (TOC) and total nitrogen (TN) were based on thermal data (heat flow profiles and mass spectra of combustion gases). Preliminary results are discussed. The enthalpy of the materials decreases with progressing mineralization, whereas the enthalpy of the remaining organic matter increases. The ratio of the enthalpies was used as an indicator of stability. Selected samples comprising old landfills, a recent reactor landfill, MBT landfills and MBT materials were classified according to the calculated ratios.     

An interdisciplinary physical-chemical approach for characterization of arsenic in a calciner residue dump in Cornwall (UK)

During the later stages of hard-rock mining in Cornwall, UK, widespread processing and refining of arsenic in purpose-built calciners resulted in severe, localized contamination of soils with arsenic. Several physical-chemical techniques were applied to characterize arsenic in a calciner residue dump: X-ray powder diffraction (XRD), sequential extraction combined with hyphenated speciation methods, and X-ray absorption spectroscopic (XAS) methods such as XANES (X-ray absorption near-edge structure) and EXAFS (extended X-ray absorption fine structure). Arsenic was predominantly present in pentavalent form, bound to amorphous or poorly-crystalline hydrous oxides of Fe (probably alpha-hematite). A small amount of a non-classified crystalline iron arsenate phase was found, viz. Fe2(As(AsO4)3). There was also evidence for the presence of some arsenate bound to quartz (alpha-SiO2). The overall results make us believe that the normally assumed relative safety, from a mobility point of view, is questionable since only a small fraction of arsenic is found in a crystalline iron arsenate form.     

Application of nanoscale zero valent iron (NZVI) for groundwater remediation in Europe

Purpose  

Nanoscale zero valent iron (NZVI) is emerging as a new option for the treatment of contaminated soil and groundwater targeting mainly chlorinated organic contaminants (e.g., solvents, pesticides) and inorganic anions or metals. The purpose of this article is to give a short overview of the practical experience with NZVI applications in Europe and to present a comparison to the situation in the USA. Furthermore, the reasons for the difference in technology use are discussed.     

Chemical and morphological characterization of aerosol particles at Mt. Krvavec, Slovenia, during the Eyjafjallajökull Icelandic volcanic eruption

Objective

In this work, continuous and size-segregated aerosol measurements at Mt. Krvavec, Slovenia, during the Eyjafjallajökull volcanic eruption were performed. Based on chemical and morphological characteristics of size-segregated particles, the presence of the volcanic aerosols after long-range transport to Slovenia was to be confirmed.

Results and conclusions

Continuous measurements with the aethalometer and SMPS indicated the suspected volcanic ash plume passing over the sampling site. The aerosols collected by discrete sampling showed a chemical signature similar to the known elemental signature of the Icelandic volcanic ash. Coarse particles showed a composition typical for silicates rich in metals; in many cases also S was present. Morphological analysis showed particles with features indicative of an explosive volcanic eruption, e.g., pumice and pumice shards, glass shards, minerals, evidence of steam condensation, etc. The high sulfate concentration associated with the fine particles resulted in sulfate crystallization within the cascade impactor leading to the formation of large structures resembling a “fern”. Mass size distributions for Fe, Ti, Mn, Ca, Na, and Mg showed one primary peak (for Fe, Mn, and Ti at 2.8 μm; for Ca, Na, and Mg at ca. 4 μm), which supports the fact that most of the particles in the coarse sizes were silicates rich in metals. The size distribution of the water-soluble SO ₄ ^2? showed a maximum peak at 0.75 μm, which also confirms the high sulfate concentration in the fine particles. Chemical and morphological characterization of aerosols collected at Mt. Krvavec indeed confirmed that volcanic ash plume passed over Slovenia.