BUSCADOR RECOLECTA

1 video. -- Video showing the scanning with the 532 nm Nd:YAG nanoseconds pulsed laser over the VVUC1-CPNs-based spray-coated pattern deposited onto DPA-S-CPNs. The UC emission only appears from the “UC” pattern., Photon upconversion (UC) based on triplet–triplet annihilation is a very promising phenomenon with potential application in several areas, though, due to the intrinsic mechanism, the achievement of diffusion-limited solid materials with air-stable UC is still a challenge. Herein, we report UC coordination polymer nanoparticles (CPNs) combining sensitizer and emitter molecules especially designed with alkyl spacers that promote the amorphous character. Beyond the characteristic constraints of crystalline MOFs, amorphous CPNs facilitate high dye density and flexible ratio tunability. To show the universality of the approach, two types of UC-CPNs are reported, exhibiting highly photostable UC in two different visible spectral regions. Given their nanoscale, narrow size distribution, and good chemical/colloidal stability in water, the CPNs were also successfully printed as anticounterfeiting patterns and used to make highly transparent and photostable films for luminescent solar concentrators, both showing air-stable UC., Peer reviewed

6 pages. -- S1. Optical characterization of the plasmonic biosensor. -- S2. Representative sensorgrams of antigen and virus detection assays. -- S3. SARS-CoV-2 virus detection with conventional SAM biofunctionalization. -- S4. Representative sensorgrams of neutralization assays with SARS-CoV-2 antigens. -- S5. Representative sensorgrams of neutralization assays with SARS-CoV-2 viruses., Peer reviewed

Figure S1: STEM and EDS of CuNCs Figure S2: Effect of the delay time in the formation of CuNCs Figure S3: Effect of the pH in the formation of CuNCs Figure S4: Effect of the concentration of MES in the formation of CuNCs Figure S5: Effect of the concentration of Cu (II) in the formation of CuNCs Figure S6: Effect of the concentration of TAO in the formation of CuNCs Figure S7: Effect of the temperature in the formation of CuNCs Figure S8: Effect of different substances in the formation of CuNCs Figure S9: Interference study Figure S10a: Determination of Tyramine in sausages (TMB:HRP method) Figure S10a: Determination of Tyramine in sausages (CuNCs method) Table S1: An overview on recently reported methods for Tyramine ……………………..……. 6, Peer reviewed

6 pages. -- Table S1: Description of various coatings developed for spray casting. -- Table S2: Theoretical density of materials for slurry preparation. -- Table S3: Specifications of electrodes. -- Figure S1: Gravimetric capacitance at different scan rates. -- Figure S2: Volumetric capacitance at different scan rates. -- Figure S3: Cyclic polarisations of different electrode materials at 10 mV s−1. -- Figure S4: Dependence of electrode gravimetric capacitance (at 10 mV s−1) on thickness and porosity. -- Figure S5: Dependence of electrode volumetric capacitance (at 10 mV s−1) on thickness and porosity. -- Figure S6: Gravimetric capacitance (at 10 mV s−1) of various electrodes as a function of thickness and mass. -- Figure S7: Volumetric capacitance (at 10 mV s−1) of various electrodes as a function of thickness and mass., Peer reviewed

19 pages. -- Characterization. -- Electrode preparation and electrochemical measurements. -- Theoretical method. -- Table S1. Complete list of samples produced and characterized, including name, precursors and processing conditions. -- Figures S1-S25. -- Table S2. Comparison of OER activity of obtained catalyst. -- Table S3. Cdl and ECSAs of various catalysts. -- Table S4. Simulated parameters from the relevant equivalent circuits. -- Table S5. OER activity of CoFexOy-SO4 and other Co-based catalysts in 1M KOH electrolyte., The electrochemical oxygen evolution reaction (OER) plays a fundamental role in several energy technologies, which performance and cost-effectiveness are in large part related to the used OER electrocatalyst. Herein, we detail the synthesis of cobalt-iron oxide nanosheets containing controlled amounts of well-anchored SO42– anionic groups (CoFexOy-SO4). We use a cobalt-based zeolitic imidazolate framework (ZIF-67) as the structural template and a cobalt source and Mohr’s salt ((NH4)2Fe(SO4)2·6H2O) as the source of iron and sulfate. When combining the ZIF-67 with ammonium iron sulfate, the protons produced by the ammonium ion hydrolysis (NH4+ + H2O = NH3·H2O + H+) etch the ZIF-67, dissociating its polyhedron structure, and form porous assemblies of two-dimensional nanostructures through a diffusion-controlled process. At the same time, iron ions partially replace cobalt within the structure, and SO42– ions are anchored on the material surface by exchange with organic ligands. As a result, ultrathin CoFexOy-SO4 nanosheets are obtained. The proposed synthetic procedure enables controlling the amount of Fe and SO4 ions and analyzing the effect of each element on the electrocatalytic activity. The optimized CoFexOy-SO4 material displays outstanding OER activity with a 10 mA cm–2 overpotential of 268 mV, a Tafel slope of 46.5 mV dec–1, and excellent stability during 62 h. This excellent performance is correlated to the material’s structural and chemical parameters. The assembled nanosheet structure is characterized by a large electrochemically active surface area, a high density of reaction sites, and fast electron transportation. Meanwhile, the introduction of iron increases the electrical conductivity of the catalysts and provides fast reaction sites with optimum bond energy and spin state for the adsorption of OER intermediates. The presence of sulfate ions at the catalyst surface modifies the electronic energy level of active sites, regulates the adsorption of intermediates to reduce the OER overpotential, and promotes the surface charge transfer, which accelerates the formation of oxygenated intermediates. Overall, the present work details the synthesis of a high-efficiency OER electrocatalyst and demonstrates the introduction of nonmetallic anionic groups as an excellent strategy to promote electrocatalytic activity in energy conversion technologies., Peer reviewed

Table of contents: 1. Materials and Methods 2. Synthetic Schemes and Experimental Details of the Synthesis of Compounds. 3. NMR Spectra of Representative Compounds 4. Thermal and Liquid Crystal Properties of The Compounds. 5. X-ray diffraction studies, Peer reviewed

3 pages. -- Figure 1 Supplementary Information. Scatters of the validation of satellite-derived bathymetry (SDB) against high-resolution in-situ lidar surveys in the study regions. -- Figure 2 Supplementary Information. Accuracy statistics a) mean bias (m) and b) median absolute error (MedAE; m) of satellite-derived bathymetry (SDB) estimation compared with high-resolution lidar data in the seven study regions at different depth ranges. -- Figure 3 Supplementary Information. Turbidity proxy of the red-edge band (Rrs 704 nm) after the composite approach for each study site, depicting the complexity of the different water masses accordingly to the water clarity conditions, Peer reviewed

2 pages. -- Figure S1. Scheme of the multigenerational risk assessment of D. magna exposed to environmentally relevant concentrations of fluoxetine. -- Figure S2. Scheme of the colonisation behaviour of D. magna F3 - juveniles regarding environmentally relevant concentrations of fluoxetine after the multigenerational exposure assessment. -- Figure S3. HeMHAS (heterogeneous multi-habitat assay system), 24 compartments and 38 electronically controlled doorways. -- Figure S4. Scheme of the avoidance risk assessments of D. magna exposed to concentrations of fluoxetine simulating a future worse scenario., Peer reviewed

6 pages. -- Table S.1. Main characteristics for each chemical investigated in this study. -- Table S.2. Growth rates calculated for both P. parvum and H. akashiwo upon exposure to different concentration of reagents tested (H2O2, PAA, PMS, PDS, NaClO). -- Table S.3a. Fitted parameters obtained from modelling the concentration-response curves represented on Figures 1-5. -- Table S.3b. Fitted parameters obtained from modelling the concentration-response curves represented on Figures 1-5., Peer reviewed

2 tablas, 2 figuras, Peer reviewed