Exploiting monitoring data in environmental exposure modelling and risk assessment of pharmaceuticals

In order to establish the environmental impact of an active pharmaceutical ingredient (API), good information on the level of exposure in surface waters is needed. Exposure concentrations are typically estimated using information on the usage of an API as well as removal rates in the patient, the wastewater system and in surface waters. These input data are often highly variable and difficult to obtain, so model estimates often do not agree with measurements made in the field. In this paper we present an approach which uses inverse modelling to estimate overall removal rates of pharmaceuticals at the catchment scale using a hydrological model as well as prescription and monitoring data for a few representative sites for a country or region. These overall removal rates are then used to model exposure across the broader landscape. Evaluation of this approach for APIs in surface waters across England and Wales showed good agreement between modelled exposure distributions and available monitoring data. Use of the approach, alongside estimates of predicted no-effect concentrations for the 12 study compounds, to assess risk of the APIs across the UK landscape, indicated that, for most of the compounds, risks to aquatic life were low. However, ibuprofen was predicted to pose an unacceptable risk in 49.5% of the river reaches studied. For diclofenac, predicted exposure concentrations were also compared to the Environmental Quality Standard previously proposed by the European Commission and 4.5% of river reaches were predicted to exceed this concentration. While the current study focused on pharmaceuticals, the approach could also be valuable in assessing the risks of other ‘down the drain’ chemicals and could help inform our understanding of the important dissipation processes for pharmaceuticals in the pathway from the patient to ecological receptors

Restrospectiva do Helicosiphon biscoeensis Gravier, 1907 (Polychaeta: Serpulidae):\ud características morfológicas e ecológicas

This note gathers the main information and illustrations published concerning the Antarctic/Subantarctic polychaete Helicosiphon biscoeensis (Spirorbinae). It provides a short historical overview about the knowledge of this species, including information on its morphology and ecology, and contributes new digital images.Esta nota reúne a maior parte das informações e ilustrações publicadas sobre o poliqueta antártico/subantártico Helicosiphon biscoeensis (Spirorbinae), faz uma breve retrospectiva da evolução de seu conhecimento, incluindo considerações sobre sua morfologia e ecologia, e contribui com imagens digitais inéditas.CNPq - 52.0293/2006-1INCT-APACNPq - Process 574018/2008-5FAPERJ - E-26170.023/200

Two-stage lipid induction in the microalga tetraselmis striata CTP4 upon exposure to different abiotic stresses

Tetraselmis striata CTP4 is a euryhaline, robust, fast-growing microalga suitable for wastewater treatment and industrial production. Lipid production was induced through a two-stage cultivation strategy: a 1st stage under standard growth-promoting conditions (100 mu mol photons m- 2 s- 1, salinity 36 ppt and 20 degrees C) to achieve high biomass concentration and a 2nd stage of 6 days for lipid induction by the application of abiotic stresses such as nutrient depletion, high light intensity (200 and 400 mu mol photons m- 2 s- 1), high salinity (75 and 100 ppt), and extreme temperatures (5 and 35 degrees C). Although nutrient depletion always resulted in a decrease in biomass productivity, it had also the highest impact on lipid induction. The highest lipid content (43.2%) and lipid productivity (29.2 mg L-1 d-1) were obtained using a combination of nutrient depletion and high light intensity (400 mu mol m- 2 s- 1). The fatty acid profile was mainly composed of C16:0 (palmitic), C18:1 (oleic) and C18:2 (linoleic) acids. The low content of unsaturated fatty acids and absence of C18:3 (linolenic) acid render the oil of this microalga suitable for biodiesel production, a renewable source of energy.LA/P/0101/2020info:eu-repo/semantics/publishedVersio

Time-resolved local pH measurements during CO2 reduction using scanning electrochemical microscopy: buffering and tip effects

The electrochemical reduction of CO2 is widely studied as a sustainable alternative for the production of fuels and chemicals. The electrolyte’s bulk pH and composition play an important role in the reaction activity and selectivity and can affect the extent of the buildup of pH gradients between the electrode surface and the bulk of the electrolyte. Quantifying the local pH and how it is affected by the solution species is desirable to gain a better understanding of the CO2 reduction reaction. Local pH measurements can be realized using Scanning Electrochemical Microscopy (SECM); however, finding a pH probe that is stable and selective under CO2 reduction reaction conditions is challenging. Here, we have used our recently developed voltammetric pH sensor to perform pH measurements in the diffusion layer during CO2 reduction using SECM, with high time resolution. Using a 4-hydroxylaminothiophenol (4-HATP)/4-nitrosothiophenol (4-NSTP) functionalized gold ultramicroelectrode, we compare the local pH developed above a gold substrate in an argon atmosphere, when only hydrogen evolution is taking place, to the pH developed in a CO2 atmosphere. The pH is monitored at a fixed distance from the surface, and the sample potential is varied in time. In argon, we observe a gradual increase of pH, while a plateau region is present in CO2 atmosphere due to the formation of HCO3– buffering the reaction interface. By analyzing the diffusion layer dynamics once the sample reaction is turned “off”, we gain insightful information on the time scale of the homogeneous reactions happening in solution and on the time required for the diffusion layer to fully recover to the initial bulk concentration of species. In order to account for the effect of the presence of the SECM tip on the measured pH, we performed finite element method simulations of the fluid and reaction dynamics. The results show the significant localized diffusion hindrance caused by the tip, so that in its absence, the pH values are more acidic than when the tip is present. Nonetheless, through the simulation, we can account for this effect and estimate the real local pH values across the diffusion layer.Horizon 2020(H2020)722614-ELCORELTheoretical Chemistr

ASTEC -- the Aarhus STellar Evolution Code

The Aarhus code is the result of a long development, starting in 1974, and still ongoing. A novel feature is the integration of the computation of adiabatic oscillations for specified models as part of the code. It offers substantial flexibility in terms of microphysics and has been carefully tested for the computation of solar models. However, considerable development is still required in the treatment of nuclear reactions, diffusion and convective mixing.Comment: Astrophys. Space Sci, in the pres