SOx trapping performances of cuo based silica mesoporous adsorbents for desulfurization of industrial flue gas stream

In the present work, CuO/SBA-15 SOx regenerable adsorbents were elaborated. Synthesis conditions were controlled in order to obtain highly dispersed Cu2+ species assumed to be Cu-O-Si species. Materials were evaluated as SOx adsorbents through multicycle adsorption/regeneration experiments. Their performances decrease along cycles due to copper species sintering and there is an optimal copper loading for a maximal SOx adsorption efficiency. Please click Additional Files below to see the full abstract

SOx trapping performances of cuo based silica mesoporous adsorbents for desulfurization of industrial flue gas stream

In the present work, CuO/SBA-15 SOx regenerable adsorbents were elaborated. Synthesis conditions were controlled in order to obtain highly dispersed Cu2+ species assumed to be Cu-O-Si species. Materials were evaluated as SOx adsorbents through multicycle adsorption/regeneration experiments. Their performances decrease along cycles due to copper species sintering and there is an optimal copper loading for a maximal SOx adsorption efficiency. Please click Additional Files below to see the full abstract

Export of a Toxoplasma gondii Rhoptry Neck Protein Complex at the Host Cell Membrane to Form the Moving Junction during Invasion

One of the most conserved features of the invasion process in Apicomplexa parasites is the formation of a moving junction (MJ) between the apex of the parasite and the host cell membrane that moves along the parasite and serves as support to propel it inside the host cell. The MJ was, up to a recent period, completely unknown at the molecular level. Recently, proteins originated from two distinct post-Golgi specialised secretory organelles, the micronemes (for AMA1) and the neck of the rhoptries (for RON2/RON4/RON5 proteins), have been shown to form a complex. AMA1 and RON4 in particular, have been localised to the MJ during invasion. Using biochemical approaches, we have identified RON8 as an additional member of the complex. We also demonstrated that all RON proteins are present at the MJ during invasion. Using metabolic labelling and immunoprecipitation, we showed that RON2 and AMA1 were able to interact in the absence of the other members. We also discovered that all MJ proteins are subjected to proteolytic maturation during trafficking to their respective organelles and that they could associate as non-mature forms in vitro. Finally, whereas AMA1 has previously been shown to be inserted into the parasite membrane upon secretion, we demonstrated, using differential permeabilization and loading of RON-specific antibodies into the host cell, that the RON complex is targeted to the host cell membrane, where RON4/5/8 remain associated with the cytoplasmic face. Globally, these results point toward a model of MJ organization where the parasite would be secreting and inserting interacting components on either side of the MJ, both at the host and at its own plasma membranes

Dénitrification naturelle en champagne crayeuse: rôle des zones humides. Approche à l'échelle d'un petit bassin versant

*UMR INRA INAPG Environnement et Grandes Cultures de Grignon Diffusion du document : UMR INRA INAPG Environnement et Grandes Cultures de Grignon Diplôme : Dr. Ing

Évaluer la performance écologique d’un aménagement autoroutier du point de vue de la biodiversité végétale

La réglementation et les attentes sociétales incitent aujourd’hui les aménageurs du territoire à évaluer les impacts environnementaux de leurs projets de construction, mais également à prévoir des mesures et des actions pour créer ou restaurer la biodiversité des espaces modifiés. Des questions se posent donc aux gestionnaires sur les méthodes à utiliser et les indicateurs à employer pour évaluer la performance écologique d’un aménagement. Quelques éléments de réponse sont présentés ici, sur la base d’une étude de cas portant sur le Mont-aux-Liens, un aménagement paysager contigu à l’autoroute A19

Consequences de la valorisation de boues liquides de station d'epuration urbaine dans la fertilisation azotee

* INRA, centre de Grignon Diffusion du document : INRA, centre de GrignonNational audienc

Une chaîne de traitement automatique pour l'estimation de la rugosité des sols agricoles par photogrammétrie 3D à partir de photographies prises sans contraintes pour le suivi radiométrique des sols

Une chaîne de traitement automatique pour l'estimation de la rugosité des sols agricoles par photogrammétrie 3D à partir de photographies prises sans contraintes pour le suivi radiométrique des sols. 11. Journées d'Etude des Sol

Potential of Ultra-High-Resolution UAV Images with Centimeter GNSS Positioning for Plant Scale Crop Monitoring

To implement agricultural practices that are more respectful of the environment, precision agriculture methods for monitoring crop heterogeneity are becoming more and more spatially detailed. The objective of this study was to evaluate the potential of Ultra-High-Resolution UAV images with centimeter GNSS positioning for plant-scale monitoring. A Dji Phantom 4 RTK UAV with a 20 MPixel RGB camera was used, flying at an altitude of 25 m (0.7 cm resolution). This study was conducted on an experimental plot sown with maize. A centimeter-precision Trimble Geo7x GNSS receiver was used for the field measurements. After evaluating the precision of the UAV’s RTK antenna in static mode on the ground, the positions of 17 artificial targets and 70 maize plants were measured during a series of flights in different RTK modes. Agisoft Metashape software was used. The error in position of the UAV RTK antenna in static mode on the ground was less than one centimeter, in terms of both planimetry and elevation. The horizontal position error measured in flight on the 17 targets was less than 1.5 cm, while it was 2.9 cm in terms of elevation. Finally, according to the RTK modes, at least 81% of the corn plants were localized to within 5 cm of their position, and 95% to within 10 cm

Potential of Ultra-High-Resolution UAV Images with Centimeter GNSS Positioning for Plant Scale Crop Monitoring

To implement agricultural practices that are more respectful of the environment, precision agriculture methods for monitoring crop heterogeneity are becoming more and more spatially detailed. The objective of this study was to evaluate the potential of Ultra-High-Resolution UAV images with centimeter GNSS positioning for plant-scale monitoring. A Dji Phantom 4 RTK UAV with a 20 MPixel RGB camera was used, flying at an altitude of 25 m (0.7 cm resolution). This study was conducted on an experimental plot sown with maize. A centimeter-precision Trimble Geo7x GNSS receiver was used for the field measurements. After evaluating the precision of the UAV’s RTK antenna in static mode on the ground, the positions of 17 artificial targets and 70 maize plants were measured during a series of flights in different RTK modes. Agisoft Metashape software was used. The error in position of the UAV RTK antenna in static mode on the ground was less than one centimeter, in terms of both planimetry and elevation. The horizontal position error measured in flight on the 17 targets was less than 1.5 cm, while it was 2.9 cm in terms of elevation. Finally, according to the RTK modes, at least 81% of the corn plants were localized to within 5 cm of their position, and 95% to within 10 cm

Soil surface roughness measurement: A new fully automatic photogrammetric approach applied to agricultural bare fields

This work develops a fully automatic photogrammetric approach for measuring soil surface roughness from pictures taken in the field with a simple digital camera, without geometric constraints. On each site, 13 overlapping photographs of the soil surface were taken from different angles, under the shade of an umbrella. Millimeter accuracy 3D soil models were calculated from these pictures and were used to derive 11 roughness indexes. The whole procedure was implemented in a fully automatic Python program. The system accuracy was determined on artificial models built with polystyrene, the positional and elevation accuracies of which were about 1.5 mm, while the error on the surface area estimation was less than 0.76% of the site surface area. This approach was successfully applied to an agricultural field experiment in which four soil tillage levels have been generated. These levels were correctly identified using two indices for 96% of the 32 measurement sites. These results show that two roughness indices, the surface tortuosity index and the mean value of height, are most efficient to discriminate agricultural soil tillage levels