Resultados de investigación

6 pages. -- Figure S1. Picture of the MEA ERG probes after being used to measure ERG. -- Figure S2. Electrochemical Impedance Spectroscopy Bode plot of 5 of the graphene microelectrodes after measurements such as those described in Figure 3 a). S. -- Figure S3. ERG measured with the linear MEA showing different signal amplitudes across the probe. -- Figure S4. Optical transmittance measurement of the head of a circular MEA probe over the visible range. -- Figure S5. MEA ERG recordings from a healthy animal (top) and an animal with a lesion in the temporal-ventrical quadrant of the retina., Peer reviewed

5 pages. -- ESI-Figure 1: XRD pattern of L2NO4 thin films with different thickness deposited at 650 °C on a) LAO, b) STO and c) YSZ. Substrate peaks are marked by grey dots and the observed L2NO4 planes are labelled according to ICDD reference 04-015-2147. -- ESI-Figure 2: c-parameter as a function of thickness for ”as-deposited“ L2NO4 films on LAO and STO single crystal substrates. -- ESI-Figure 3: Grain size distribution, i.e. number of grains for each grain size, for all L2NO4 film thicknesses and substrates, analysed within an area of 1.13×0.76 µm. -- ESI-Figure 4: SEM analysis of 200 nm thick L2NO4 film deposited at 750 °C on a) LAO and b) YSZ substrate. -- ESI-Figure 5: Atomic force microscopy of L2NO4/LAO samples, revealing increasing roughness (RMS) from 2.6 to 11.9 nm with increasing film thickness from 33 to 540 nm. -- ESI-Figure 6: STEM EDX analysis of 540 nm thick L2NO4/LAO sample. -- ESI-Figure 7: Analysis of microstructural stability of L2NO4 by SEM and XRD after functional characterisation at temperatures up to 600 °C with a total annealing duration of 24h. -- ESI-Figure 8: Normalised conductivity transients of L2NO4 thin films at 375°C after a change of pO2 from 10-250 mbar. -- ESI-Figure 9: a) Electrochemical impedance spectroscopy of nano-columnar L2NO4/YSZ measured in dry air in the frequency range from 1 MHz to 1 Hz at 590 °C. The equivalent circuit, used to fit the EI spectra, is shown in the inset, with a resistive contribution for YSZ in series to a high and low frequency Randles cell for the counter and the L2NO4 working electrode, respectively. b) L2NO4 contribution over the reciprocal temperature for 100 and 200 nm thick L2NO4., Peer reviewed

2 pages. -- Fig. S1. Summary of the procedure: (i) First, equivalent circuit of the halide perovskite is found from impedance measurements, monitoring, in addition, the parameters that describe the response at different applied bias voltages. Typically, a CPE behavior is found in the low-frequency region. (ii) From the correlation of impedance spectroscopy and transient analysis, the trend of the potential-step hold time is determined using fractional calculus, in order to find the most restrictive condition and thus achieve steady-state conditions (refer to Eq. (12)). (iii) Finally, the critical scan rate is calculated from Eq. (13)., Peer reviewed

11 pages. -- Figure S1. Schematic of the inkjet-printed conductivity and volume sensors and of the SPCE device with the respective measurements. -- Calculation of the k value from the conductivity and volume nanobiosensors. -- Table S1. Comparison with other heavy metal and conductivity sensors for sweat analysis. -- Battery consumption. -- Voltage increment limitations of the LMP91000 chip. -- Copper detection pH dependence. -- Repeatability of the copper detection for continuous monitoring. -- Figure S2. SPCE device tested continuously in 1400 ppb copper in artificial sweat for 25 measurements during 95 min (without any cleaning between each single measurement). -- Sensors parameters optimization. -- Figure S3. Bode diagrams of the conductivity (a) and volume (b) sensors with the microchannel filled by NaCl 95 mM in milliQ water, emulating the sweat conductivity. -- Figure S4. Schematic illustration of different sampling time with respect to the imposed potential and the measured currents (a) and stripping curves using different sampling time (b). -- Bending effects. -- Figure S5. The microfluidic device applied on the distal arm skin., Peer reviewed

23 pages. -- PDF file includes: I. Literature Review on Electrical and Structural Properties of Ferroelectric Thin Film. -- II. Coercive Field in BaTiO3 Thin Films Grown on SrTiO3/Si Substrates. -- I. Structural Characterization of BaTiO3 Thin Films Grown at Different Pressures. -- II. Polarization-Electric Field Hysteresis Loops of BaTiO3 Films. -- III. Stoichiometry Characterization. -- IV. Study of Different Electrode Synthesis and Fabrication Processes. -- V. Scanning Transmission Electron Microscopy Studies. -- VI. Structural Characterization of 125-225 nm BaTiO3 Thin Films. -- VII. Reciprocal Space Mapping of 12.5-100 nm BaTiO3 Thin Films Grown at 60 mTorr. -- VIII. Polarization-Voltage/Electric Field Hysteresis Loops of BaTiO3 Thin Films. -- IX. Piezoresponse Force Microscopy Scans of 25-nm-thick BaTiO3 Thin Film. -- X. Fatigue and Retention Measurements. -- XI. Switching-Dynamics Measurements on 25 nm BaTiO3 Thin Films. -- XII. Lateral Size-Scaling on 50 nm and 100 nm BaTiO3 Thin Films. -- XIII. Structural Characterization of BaTiO3 Grown on SrTiO3/Si Substrates. -- XIV. Dielectric Constant-Voltage Measurement, Peer reviewed

14 pages. -- PDF file includes: Details of Theoretical calculations. -- Figure S1. (a) SEM images of the Bi2Se3 nanosheets. (b) XRD patterns of Bi2Se3 nanosheets. (c) HRTEM images of the Bi2Se3 nanosheets and its corresponding power spectrum. (d) EELS chemical composition maps obtained from the red squared area of the STEM micrograph. -- Figure S2. Bi 4f and Se 3d high-resolution XPS spectra. -- Figure S3. XRD pattern of I-Bi2Se3/S. -- Figure S4. TGA curve of I-Bi2Se3/S composite measured in N2 with a sulfur loading ratio of 70.2 wt%. -- Figure S5. Nitrogen adsorption-desorption isotherms of as synthesized I-Bi2Se3 and IBi2Se3/S composites. -- Figure S6. DFT calculation results of optimized geometrical configurations of the surface (110) of Bi2Se3 with LiPS (Li2S, Li2S2, Li2S4, Li2S6, Li2S8 and S8). -- Figure S7. DFT calculation results of optimized geometrical configurations of the surface (110) of I-Bi2Se3 with LiPS (Li2S, Li2S2, Li2S4, Li2S6, Li2S8 and S8). -- Figure S8. Optimized adsorption configuration of Li2S decomposition on Bi2Se3. -- Figure S9. First five cycles of CV curves of (a) I-Bi2Se3/S, (b) Bi2Se3/S and (c) Super P/S performed at a scan rate of 0.1 mV s−1. -- Figure S10. Differential CV curves of (a) I-Bi2Se3/S, (c) Bi2Se3/S and (e) Super P/S. The baseline voltage and current density are defined as the value before the redox peak, where the variation on current density is the smallest, named as dI/dV=0. -- Figure S11. CV curves of (a) Bi2Se3/S, (b) Super P/S and (c) Plot of CV peak current for peaks C1, C2, and A versus the square root of the scan rates. -- Figure S12. The CV curve of I-Bi2Se3 as electrode measured in symmetric coin cell using an electrolyte without Li2S6. -- Figure S13. (a) Charge, and (b) discharge profiles of I-Bi2Se3/S, Bi2Se3/S, and Super P/S electrodes showing the overpotentials for conversion between soluble LiPS and insoluble Li2S2/Li2S. -- Figure S14. Galvanostatic charge−discharge profiles of (a) Bi2Se3/S and (b) Super P/S at different current densities range from 0.1C to 4C. -- Figure S15. (a,b) EIS spectra of (a) Bi2Se3/S and (b) Super P/S coin cells before and after cycling. The solid line corresponding to the fitting result from the equivalent circuit (c) and (d), and the Rs, Rin, Rct, and Zw stand for the resistance of the electrolyte, insoluble Li2S2/Li2S layer, interfacial charge-transportation, and semi-infinite Warburg diffusion, respectively; and CPE stands for the corresponding capacitance. (e) Different resistances of three coin cells were obtained from the equivalent circuit. -- Figure S16. XRD patterns of electrode materials after 100 cycles at 1C. -- Figure S17. Galvanostatic charge/discharge profiles of I-Bi2Se3/S at 0.5C under a lean electrolyte condition with a high sulfur loading of 5.2 mg cm-2. -- Figure S18. (a) SEM image of the Li-anode after cycling; (b) EDX mapping image of Lianode showing sulfur signal after cycling. -- Figure S19. SEM image of the cathode material after cycling, EDX spectra and EDX elemental maps for S, Se, Bi and I. -- Figure S20. I-Bi2Se3 optimized configuration as calculated by DFT. The distance between I and Bi is 3.15 Å, which is similar values than the bond lengths in bulk BiI3. -- Table S1 Summary of the comparison of I-Bi2Se3 electrochemical performance as host cathode for LSBs with state-of-the-art Bi-based or Se-based materials., Peer reviewed

18 pages. -- PDF file includes: materials and methods: Production of biotinylated detection antibodies (bd-MAb). -- Figure S-1. MP functionalization with c-MAb. -- Figure S-2. S-2. Scheme and protocol of the reference sandwich ELISA for Pf-LDH detection. -- Figure S-3. Two-step magneto-immunoassay for Pf-LDH detection. -- Figure S-4. Single-step magneto-immunoassay for Pf-LDH detection: comparison of colorimetric and fluorescent detection. -- Figure S-5. Performance of the 9 membranes studied. -- Figure S-6. Optimization of MP washing on-chip. -- Figure S-7. Optimization of the paper-based detection strategy. -- Figure S-8. Detection of malaria in positive blood samples using a commercial RDT. -- Table S-1. Examples of magneto immunoassays reported before for malaria diagnosis. -- Table S-2. Characteristics of the 9 paper-like membranes tested. -- Table S-3. Summary of results obtained in malaria-positive clinical samples using the paperbased fluorescence POC and reference ELISA, microscopy and RDT methodologies. -- Table S-4. Estimated production cost for each paper-based magneto-immunoassay test., Peer reviewed

4 pages. -- PDF includes: Interaction between AuNPs and CCM supplements. -- Figure SI-1A shows the results for the exposition of AuNPs to a solution of PhR. -- Figure SI1-D shows the UV-vis profile over time of AuNP exposed to PS (100 U/mL (~170 μM) penicillin, 172 μM streptomycin)., Sodium citrate-stabilized gold nanoparticles (AuNPs) are destabilized when dispersed in cell culture media (CCMs). This may promote their aggregation and subsequent sedimentation, or under the proper conditions, their interaction with dispersed proteins can lead to the formation of a NP-stabilizing protein corona. CCMs are ionic solutions that contain growth substances which are typically supplemented, in addition to serum, with different substances such as dyes, antioxidants, and antibiotics. In this study, the impact of phenol red, penicillin–streptomycin, l-glutamine, and β-mercaptoethanol on the formation of the NP–protein corona in CCMs was investigated. Similar protein coronas were obtained except in the presence of antibiotics. Under these conditions, the protein corona took more time to be formed, and its density and composition were altered, as indicated by UV–vis spectroscopy, Z potential, dynamic light scattering, and liquid chromatography–mass spectrometry analyses. As a consequence of these modifications, a significantly different AuNP cellular uptake was measured, showing that NP uptake increased as did the NP aggregate formation. AuNP uptake studies performed in the presence of clathrin- and caveolin-mediated endocytosis inhibitors showed that neither clathrin receptors nor lipid rafts were significantly involved in the internalization mechanism. These results suggest that in these conditions, NP aggregation is the main mechanism responsible for their cellular uptake., Peer reviewed

Gridded monthly climate projection dataset underpinning the IPCC AR6 Interactive Atlas for the impact-relevant variables and indices., The IPCC WG1 Interactive Atlas is an online tool that provides interactive visualizations and geospatial data related to the physical scientific basis of climate change. This platform allows users to explore and visualize geographical information interactively and dynamically. It presents data using maps, charts, and other visualizations, enabling users to understand complex information spatially and temporally. The interactive Atlas includes climate data for relevant variables, key climate indicators, and trends, all derived from climate model simulations., The IPCC-WGI AR6 Interactive Atlas dataset comprises monthly gridded data from global (CMIP5, CMIP6) and regional (CORDEX) model projections for the impact-relevant variables and indices featured in the IPCC Interactive Atlas (https://interactive-atlas.ipcc.ch)., Peer reviewed, 2

Gridded monthly climate projection dataset underpinning the IPCC AR6 Interactive Atlas for the impact-relevant variables and indices., The IPCC WG1 Interactive Atlas is an online tool that provides interactive visualizations and geospatial data related to the physical scientific basis of climate change. This platform allows users to explore and visualize geographical information interactively and dynamically. It presents data using maps, charts, and other visualizations, enabling users to understand complex information spatially and temporally. The interactive Atlas includes climate data for relevant variables, key climate indicators, and trends, all derived from climate model simulations., The IPCC-WGI AR6 Interactive Atlas dataset comprises monthly gridded data from global (CMIP5, CMIP6) and regional (CORDEX) model projections for the impact-relevant variables and indices featured in the IPCC Interactive Atlas (https://interactive-atlas.ipcc.ch)., Peer reviewed, 2