Resultados de investigación

Video 1. rGO-based conductive film patterning, fabrication, and transferring onto flexible PET substrate, The combination of two-dimensional materials and metal nanoparticles (MNPs) allows the fabrication of novel nanocomposites with unique physical/chemical properties exploitable in high-performance smart devices and biosensing strategies. Current methods to obtain graphene-based films decorated with noble MNPs are cumbersome, poorly reproducible, and difficult to scale up. Herein, we propose a straightforward, versatile, surfactant-free, and single-step technique to produce reduced graphene oxide (rGO) conductive films integrating “naked” noble MNPs. This method relies on the instantaneous laser-induced co-reduction of graphene oxide and metal cations, resulting in highly exfoliated rGO nanosheets embedding gold, silver, and platinum NPs. The production procedure has been optimized, and the obtained nanomaterials are fully characterized; the hybrid nanosheets have been easily transferred onto lab-made screen-printed electrodes preserving their nanoarchitecture. The Au@rGO-, Ag@rGO-, and Pt@rGO-based electrodes have been challenged to detect caffeic acid, nitrite, and hydrogen peroxide in model solutions and real samples. The sensors yielded quantitative responses (R2 ≥ 0.997) with sub-micromolar limits of detections (LODs ≤ 0.6 μM) for all the analytes, allowing accurate quantification in samples (recoveries ≥ 90%; RSD ≤ 14.8%, n = 3). This single-step protocol which requires low cost and minimal equipment will allow the fabrication of free-standing, MNP-embedded rGO films integrable into a variety of scalable smart devices and biosensors., Peer reviewed

11 pages. -- Experimental and theoretical methods. -- Results., Peer reviewed

12 pages. -- Section S.1 Definitions of basic quantities of the IV model. -- Section S.2 Secondary IV effects included in the model. -- Section S.3 S.3 Thorough procedure for 1/f noise derivations. -- Section S.4 IV parameter extraction procedure. -- Section S.5 IV and 1/f noise plots of 2D-FETs. -- Section S.6 Tables with IV and 1/f noise model parameters., Peer reviewed

11 pages. -- Figure S1-S6. -- Table S1. XPS fitted data for Au-IrO2 NFs. -- Table S2. DLS and Z-potential measurements. -- Table S3. Equation parameters of all LFs systems for detection of HIgG in immunoglobulins depleted human serum samples. -- Extinction coefficient calculations. -- Table S4. Extinction coefficients of nanoparticles., As the current pandemic has shown, lateral flow assays (LFAs) are a prime example of point-of-care devices enabling quick testing at an affordable price. However, their ease of use undeniably affects their sensitivity, making them less sensitive than other multi-step and time-consuming diagnostic assays, such as polymerase chain reactions and enzyme-linked immunosorbent assays. A possible solution to overcome this lack of sensitivity is the exploitation of bottom-up approaches to synthesize nanomaterials with outstanding properties for use as colorimetric labels in LFAs, that is, using nanoparticles with better optical capabilities to improve the generation of the colorimetric signal and the overall sensitivity of LFAs. Following this strategy, we rationally optimized the synthesis of gold and iridium oxide nanoflowers (Au–IrO2 NFs) to enhance their physical–chemical properties as colorimetric labels in LFAs. Specifically, we were able to rationally control their size (from 155 to 53 nm in diameter) in order to guarantee an optimal flow along the different pads of a LFA. Moreover, thanks to their superior plasmonic behavior (compared to standard AuNPs), we could achieve an 8.5-fold lower limit of detection (down to 1.2 ng/mL) for human immunoglobulin G (HIgG) than standard LFAs (10.1 ng/mL). Therefore, due to their optical and redox properties, bioconjugation capabilities, and synergic combination of the individual components, Au–IrO2 NFs appear as potential candidates for the next generation of optical LFAs., Peer reviewed

Appendix A: Reagents and standards used for volatile analysis S1 Calculation of aroma vectors S2 Data analysis for the descriptions of groups formed in the sorting tasks S3 Appendix B: Table S1. Composition of aroma vectors, their generic and specific aroma descriptors in isolation S1 Table S2. Average concentration (±sd) of total aldehydes (expressed as µg L-1) present in Conventional and Natural wines (CW, NW) S2 Table S3. Average concentration (±sd) of major volatile compounds (expressed as mg L-1) present in Conventional and Natural wines (CW, NW) S3 Table S4. Average concentration (±sd) of minor volatile compounds (expressed as µg L-1) present in Conventional and Natural wines (CW, NW) S5 Table S5. Sensory vectors, average, range of occurrence, the ratio of maximal to minimal values of Odour Aroma Values and significance of aroma vectors (with minimal OAVmax of 1) of Conventional versus Natural wines S7, Peer reviewed

17 pages. -- Figure S1. XRD patterns of perovskite films with and without HTAB perovskite films. -- Figure S2. Fitting results from Figure 4b using CasaXPS software. -- Figure S3. XPS core-level spectra of C 1s of pristine and modified perovskite films. -- Figure S4. XPS spectra (a) Pb 4f and (b)I 3d (c)survey spectrum for I 4d, Br 3d, Pb 4f, Br 3p and C 1s (d) enlarged image of C 1s of pristine and passivated perovskite films. -- Table S1. X-ray photoelectron spectroscopy (XPS) quantification analysis with and without HTAB treatment perovskite films from Figure S1c. -- Table S2.Calculated atomic ratios from data of Table S1. -- Figure S5. SEM combined with EDS mapping for HTAB modified perovskite film. -- Figure S6.Raman spectra of perovskite films with and w/o HTAB modification. -- Table S3. EIS Fitting parameter from Nyquist plot. -- Figure S7. VOC decay of w/o MAI containing pristine and HTAB passivated perovskite films. -- Figure S8. J-V curves of C-PSCs using different concentration of HTAB (1 mM and 2mM in IPA) as with and w/o passivated devices. -- Table S4. Photovoltaic parameters of C-PSCs derived from J-V curves using different concentration of HTAB with and w/o modified devices. -- Figure S9. Statistical distribution of the photovoltaic parameters for 2 mM HTAB as passivated devices for 10 devices. -- Figure 10. -- Table S5. Photovoltaic parameters of C-PSC prepared without MAI in solution [1], either with or w/o HTAB passivation. Figure 11-15. -- Table S6. Stability test under low humidity (RH ~20 ± 5%) at room temperature over 1700 h. VOC is increased from 0.97 to 1.02 V., Peer reviewed

10 pages. -- Contents: Measurement of the thickness of the quantum wells. -- Charge noise measurements. -- Noise spectra for a quantum dot from heterostructure C 5. -- Frequency and gate voltage dependence of noise spectra. -- Operation gate voltages for charge sensor quantum dots. -- 6. Lever arm extraction. -- 7. Simulations of dephasing times and gate fidelities. -- Dephasing of charge qubit. -- Dephasing of spin qubit. -- Gate fidelity simulations. -- References, Peer reviewed

17 pages. -- S1. Materials, methods and characterization. -- S1.1.Materials. -- S1.2.Methods. -- S1.3. Characterization. -- S2. Characterization of BCN-348. -- S2.1. Single-crystal X-ray diffraction. -- S2.2. Powder X-Ray Diffraction. -- S2.3. N2 sorption. -- S2.4. Thermogravimetric Analysis. -- S3. Heterogeneous degradation of simulant diisopropylfluorophosphate (DIFP) in unbuffered solution. -- S3.1. Gas Chromatographic (GC) studies. -- S3.2. 1 H and 31P-NMR studies. -- S4. Reference, Peer reviewed

This PDF file includes: Supplementary Text Figs. S1 to S7 Table S1, Peer reviewed

Table 1.DOCX Image 1.TIF Image 2.TIF Image 3.TIF Image 4.TIF Image 5.TIF Image 6.TIF, Peer reviewed