Resultados de investigación

Fabrication, characterization, analysis, and cleaning strategies for removal of the excess recast material of metallic membranes by laser machining; synthesis and characterization details of deep eutectic solvent (DES) to be used as the dispersed phase for membrane emulsification studies; supporting details on the experimental procedure of membrane emulsification studies to characterize the produced nanoemulsions by DLS and TEM and antimicrobial susceptibility testing of the optimized emulsions., Peer reviewed

Experimental details and supporting figures., Peer reviewed

Nanoparticles histogram, XPS data, and UV–vis characterization data., Peer reviewed

The evolution of n-hexane, carbon dioxide, water and temperature during continuous operation in the catalytic bed and double bed and corresponding n-hexane conversions regarding the double bed configuration supplied as Supporting Information in Figure S1., Peer reviewed

1H NMR spectrum, Thermogravimetric analysis (TGA) of the TiO2 NPs, HR-STEM ADF micrographs abd EDS spectra of the Ag@TiO2 system and Organics Species., Peer reviewed

Additional experiments and simulations., Peer reviewed

Powder XRD analysis of as-synthesized Ca3Co4O9 materials; SEM and (HR-)TEM images of (CaCoO2)–(CoO2) nanotubes as-synthesized and annealed at 200 °C; STEM-ADF images and extra SR-EELS data recorded in one of these NTs; TEM images of partially rolled CaCoO2–CoO2 nanotubes synthesized in hydrothermal conditions at 200 °C for 4 h; TEM images of NaOH-intercalated Ca3Co4O9 nanotubular structures accomplished by sonication in the presence of NaOH; atomic positions and lattice vectors for the relaxed (CaCoO2)–(CoO2)2 and (Ca2CoO3)2–(CoO2)3 supercell structures, respectively; number of valence electrons and the magnetization for each atom in these structures, calculated by integration over Bader volumes; spin-resolved total density of states projected over the d orbitals of these Co atoms for (CaCoO2)–(CoO2)2 supercell and for the individual CaCoO2 and CoO2 layers., Peer reviewed

Video S1. Perpendicular magnetic flux penetration and reversal in a Nb thin film with a cross-patterned structure as seen by MOI. Video S2. Magnetic flux parceling induced by a perpendicular AC magnetic field in a Nb thin film with fringe-patterned surface. MMC S1. Supplement containing information on the laser-material interaction, and additional microstructural and magnetic data., Supplemental Information concerning the microstructural studies on the laser patterned Nb films is provided. This includes theoretical considerations about the formation of LIPSS in Nb, and complementary SEM and AFM characterization. In addition it includes experimental information about the magnetic properties of the laser patterned Nb thin films: AC susceptibility data and additional MOI results that display the local magnetic response of the films under different cycles of applied field., Peer reviewed

Ecballium elaterium (common name: squirting cucumber) is an emerging weed problem in hedgerow or superintensive olive groves under no tillage. It colonizes the inter-row area infesting the natural or sown cover crops, and is considered a hard to control weed. Research in other woody crops has shown E. elaterium distribution in stands or patches and weed-free areas, which makes this weed susceptible to design a site-specific control strategy only addressed to E. elaterium patches. Therefore, our work adresses to develop a methodology based on the analysis of imagery acquired with an unmanned aerial vehicle (UAV) to detect and map E. elaterium infestations in hedgerow olive orchards for further design of site-specific control maps only for the E. elaterium infested areas. [Description of methods used for collection/generation of data] UAV flights and field work were conducted on 05/19/2021 and on 09/27/2021. Coordinates (XYZ) of the E. elaterium plants and patches were registered using a RTK GNSS. Aerial images were acquired with a quadcopter model Mavic Pro 2 (DJI, Shenzen, China) equipped with an RGB camera Hasselblad LID-20c with 20 Mp. The UAV was configured for flights at 50 m over the terrain following flight lines parallel to the olive trees lines. The aerial images had forward and side overlaps of 90% and 85%, respectively; UAV flights were carried around noon on sunny days with no wind. UAV images were processed with Agisoft Metashape Professional Edition software (Agisoft LLC, St. Petersburg, Russia) for the generation of the geomatic products used in the classification workflows: 1) the orthomosaic containing the spectral information, and 2) the Digital Surface Model (DSM) which provided height information. The orthomosaics and the DSMs from both fields and dates had a spatial resolution of 1.1 cm and 2.2 cm, respectively. The production of the geomatic products was automatic, with the exception of the manual measurement of 5 ground control points (GCPs) in the images (one in each corner plus one in the field center). GCP coordinates were measured in the field with a RTK GNSS receiver the day of flights., Ecballium elaterium (common name: squirting cucumber) is an emerging weed problem in hedgerow or superintensive olive groves under no tillage. It colonizes the inter-row area infesting the natural or sown cover crops, and is considered a hard-to-control weed. Research in other woody crops has shown E. elaterium has a patchy distribution, which makes this weed susceptible to design a site-specific control strategy only addressed to E. elaterium patches which would allow the design of efficient and minimal herbicide control protocol and a step forward in sustainable weed management. Therefore, the aim of this work was to develop a methodology based on the analysis of imagery acquired with an uncrewed aerial vehicle (UAV) to detect and map E. elaterium infestations in hedgerow olive orchards., UAV flights and field work were conducted on 05/19/2021 and on 09/27/2021. Coordinates (XYZ) of the E. elaterium plants and patches were registered using a RTK GNSS. Aerial images were acquired with a quadcopter model Mavic Pro 2 (DJI, Shenzen, China) equipped with an RGB camera Hasselblad LID-20c with 20 Mp. The UAV was configured for flights at 50 m over the terrain following flight lines parallel to the olive trees lines. The aerial images had forward and side overlaps of 90% and 85%, respectively. UAV flights were carried around noon on sunny days with no wind., UAV images were processed with Agisoft Metashape Professional Edition software (Agisoft LLC, St. Petersburg, Russia) for the generation of the geomatic products used in the classification workflows: 1) the Digital Surface Model (DSM) which provided height information, and 2) orthomosaic containing the spectral information. The orthomosaics and the DSMs from both fields and dates had a spatial resolution of 1.1 cm and 2.2 cm, respectively. The production of the geomatic products was automatic, with the exception of the manual measurement of 5 ground control points (GCPs) in the images (one in each corner plus one in the field center). GCP coordinates were measured in the field with a RTK GNSS receiver the day of flights., This research was funded by MCIN/AEI/10.13039/501100011033 (project: PID2020-113229RB-C44; acronym: PRODIGIA. Title: Optimimizing crop PROductivity for DIGItazing applications: integration of Architecture and spectral information., i) Ecballium Field1 Digital Surface Model May: geotiff file "" ii) Ecballium Field 1 Orthomosaic May: geotiff file "" iii) Ecballium Field 2 Digital Surface Model May: geotiff file "" iv) Ecballium Field 2 Orthomosaic May: geotiff file "" v) Ecballium Field 1 Digital Surface Model September: geotiff file "" vi) Ecballium Field 1 Orthomosaic September : geotiff file "" vii) Ecballium Field 2 Digital Surface Model September: geotiff file "" viii) Ecballium Field 2 Orthomosaic September: geotiff file "" ix) Ecballium patches coordinatesXYZ May: csv file "", Peer reviewed

Supplementary data 1. Fig. S1. LA-XRD patterns of non-calcined CAF@silica_A and CAF@silica_B. Fig. S2. TEM images of non-calcined CAF@silica_A (a) and CAF@silica_B (b). Fig. S3. FTIR spectra, from top to bottom: caffeine, CAF@SBA-15_IN_6g, CAF@SBA-15_EX, CAF@silica_B, CAF@zeolite Y_EX and CAF@MCM-41_IN., Peer reviewed