BUSCADOR RECOLECTA

Derivation of the dispersion relation of polaritons propagating in a heterostructure made of a graphene sheet on top of a biaxial slab/two twisted biaxial slabs; study of the hybridization between plasmon polaritons in graphene and HPhPs in α-MoO3; conductivity of graphene in the thin-film limit; relaxation time of graphene; interband and intraband contributions to the conductivity and Landau damping; field distributions and IFC of polaritons for different Fermi energies, locations of the graphene layer and thicknesses of the biaxial slabs., Peer reviewed

12 pages. -- S1. TGA Profile. -- S2. Representative AFM Images. -- S3. Lateral Size / Thickness Aspect Ratio. -- S4. Tabulated AFM Data. -- S5. Stock Dispersion (‘ABC’) Lateral Size and Thickness Distributions. -- S6. Tabulated Raman Data. -- S7. Tabulated AFM Layer Number Data. -- S8. Raman vs AFM-Layer Number percentages. -- S9. Uptake Profile., In this work, we apply liquid cascade centrifugation to highly concentrated graphene dispersions produced by liquid-phase exfoliation in water with an insoluble bis-pyrene stabilizer to obtain fractions containing nanosheets with different lateral size distributions. The concentration, stability, size, thickness, and the cytotoxicity profile are studied as a function of the initial stabilizer concentration for each fraction. Our results show that there is a critical initial amount of stabilizer (0.4 mg/mL) above which the dispersions show reduced concentration, stability, and biocompatibility, no matter the lateral size of the flakes., Peer reviewed

Figure S1. Structural and morphological characterization of USGO and LGO. A) and B) Height AFM images, C) and D) scanning electron micrographs. Figure S2. Lung inflammation after single exposure to GOs. A) Immune cells infiltration and granulomatous formation in mice lungs at 1, 7 and 28 days after exposure to a single dose of carbon nanomaterials (USGO, LGO or MWCNT) compared to water for injection (= control). Lung infiltrates (Red arrow), granulomas formation (green arrows). Figure S3. DNA damages in lung cells after single exposure. (A) Quantification of γ-H2Ax positive nuclei of epithelial cells (E-Cadherin+) in lung parenchyma (outside inflammatory infiltrates and excluding CD45+ cells). (B) Quantification of immune cells in mice lungs (number of CD45+ cells per FOV, n = 7) with immunostaining using Alexa Fluor® 594 labelled rat anti-mouse CD45 monoclonal antibody. A single exposure to high dose of carbon nanomaterials (USGO, LGO or MWCNTs) compared to water for injection (= control). Statistical significance: *P<0.05, **P<0.01, ***P<0.001. (n = 3). Figure S4. DNA damages in lung epithelial cells after repeated exposure. Quantification of γ-H2Ax positive nuclei of epithelial cells (E-Cadherin+) in lung parenchyma (outside inflammatory infiltrates and excluding CD45+ cells) was performed after repeated exposure (x3) to high dose (A) or low dose (B) of carbon nanomaterials (USGO, LGO or MWCNTs), compared to water for injection (= control). Statistical significance: *P<0.05, **P<0.01, ***P<0.001. (n = 3). Figure S5. DNA repair activity in whole lung tissue after repeated exposure to a high dose. (A - C) mRNA expression level measured by RT-qPCR for three genes coding for DNA repair proteins, expressed as fold change, in whole lung tissue lysate after exposure to carbon materials (USGO, LGO or MWCNTs) or negative control (water for injection). Statistical significance: *P<0.05, **P<0.01, ***P<0.001. (n = 6). Figure S6. Published data on inflammation markers after repeated exposure to a high dose. (A - C) BALF cell counts measured after repeated exposure of mice to carbon materials (USGO, LGO or MWCNTs) or negative control (water for injection). (D) mRNA expression level measured by RT-qPCR for SAA3, expressed as fold change, in whole lung tissue lysate after exposure to carbon materials (USGO, LGO or MWCNTs) or negative control (water for injection). (E-H) Pro-inflammatory cytokines measured by ELISA multiplex. Statistical significance: *P<0.05, **P<0.01, ***P<0.001. (n = 6). From [ref 26; Loret et al, Advanced Science, 2022;9:2104559] Figure S7. Published data on oxidative stress markers after repeated exposure to a high dose. (A - E) mRNA expression levels measured by RT-qPCR for different genes involved in the regulation of oxidative stress, expressed as fold change, in whole lung tissue lysate after exposure to carbon materials (USGO, LGO or MWCNTs) or negative control (water for injection). Statistical significance: *P<0.05, **P<0.01, ***P<0.001. (n = 6). From [ref 26; Loret et al, Advanced Science, 2022;9:2104559]. Figure S8. Evaluation of DNA damages after repeated exposure to a high dose of GO sheets or MWCNTs. Lung parenchyma, infiltrates, granulomatous areas and nanomaterial deposition (brown colour) are highlighted in the H&E staining. The corresponding DNA damages after immunostaining (IHC) with γ-H2AX (DAB+ nuclei) and counterstaining with haematoxylin are highlighted. The framed inset pictures represent the same area of IHC without incubation with the primary antibody. The scale bar is equivalent to 20 µm. Table S1. Summary of the physicochemical characterization of USGO and LGO sheets. Table S2. List of PCR primers. Table S3. Pearson R values (n = 6) for USGO, day 1. Table S4. P values (n = 6) for USGO, day 1. Table S5. Pearson R values (n = 6) for USGO, day 7. Table S6. P values (n = 6) for USGO, day 7. Table S7. Pearson R values (n = 6) for USGO, day 28. Table S8. P values (n = 6) for USGO, day 28. Table S9. Pearson R values (n = 6) for USGO, day 84. Table S10. P values (n = 6) for USGO, day 84. Table S11. Pearson R values (n = 6) for LGO, day 1. Table S12. P values (n = 6) for LGO, day 1. Table S13. Pearson R values (n = 6) for LGO, day 7. Table S14. P values (n = 6) for LGO, day 7. Table S15. Pearson R values (n = 6) for LGO, day 28. Table S16. P values (n = 6) for LGO, day 28. Table S17. Pearson R values (n = 6) for LGO, day 84. Table S18. P values (n = 6) for LGO, day 84. Table S19. Pearson R values (n = 6) for MWCNT, day 1. Table S20. P values (n = 6) for MWCNT, day 1. Table S21. Pearson R values (n = 6) for MWCNT, day 7. Table S22. P values (n = 6) for MWCNT, day 7. Table S23. Pearson R values (n = 6) for MWCNT, day 28. Table S24. P values (n = 6) for MWCNT, day 28. Table S25. Pearson R values (n = 6) for MWCNT, day 84. Table S26. P values (n = 6) for MWCNT, day 84., H2020 Future and Emerging Technologies UK Research and Innovation, Peer reviewed

Details on sample preparation and precharacterization (Notes S1 to S3), the near-field optical data analysis (Note S4), the noise figure in the experiment (Note S5), the dispersion back bending (Note S6), three-dimensional representation of the PhP field distributions (Note S7), the rotation of the l = 1 mode (Note S8), the PhP canalization (Note S9), the impact of excitation bandwidth on the PhP properties (Note S10), the PhP group velocity (Note S11), and related supplementary references., Peer reviewed

Details about the membranes’ specifications, frequency tracking setup, and biological sample preparation, Peer reviewed

Methods, STM data of 1, STM data of 1 after hydrogenation, STM data of a sample after thermally triggered dehydrogenation, STM data of ketone-functionalized molecules at various dehydrogenation stages, temperature-dependent Kondo resonance analysis of 6, calculated ionization energies, conductance maps of 7 with Cl-functionalized probes, DFT-calculated wavefunctions of molecular orbitals of 7 in different charging states, STM data of 7 on Ag(111), and bias-dependent conductance maps of 7 on Ag(111) ., Peer reviewed

89 pages. -- PDF file includes: S1. Materials and methods; S1.1. Materials and characterization; S1.2. Experimental methods; S1.2.1. Synthesis of COOH-RhMOP, (Br)btc, (NO2)btc and (COOH)btc; S1.2.2. Stability of COOH-RhMOP under solvothermal conditions; S1.2.3. Synthesis of RhCu-btc-HKUST-1, RhCu-(Br)btc-HKUST-1, RhCu-(NO2)btc-HKUST-1, RhCu-(NH2)btc-HKUST-1 and RhCu-(COOH)btc-HKUST-1; S.1.2.4. Blank reactions for RhCu-btc-HKUST-1; S.1.2.5. Acidic disassembly of RhCu-btc-HKUST-1; S.1.2.6. Acidic digestion of RhCu-(Br)btc-HKUST-1, RhCu-(NO2)btc-HKUST-1, RhCu-(NH2)btc-HKUST-1 and RhCu-(COOH)btc-HKUST-1; S1.2.7. Study of the hydrolytic stability of RhCu-btc-HKUST-1 and Cu(II)-HKUST- 1; S1.2.8 Study of the methylene blue removal with RhCu-btc-HKUST-1 and Cu(II)-HKUST-1; S1.2.9. Study of the catalytic activity of RhCu-btc-HKUST-1 and RhCu-(COOH)btc-HKUST-1; S1.3. Computational methods; S2. Characterization of RhCu-btc-HKUST-1; S3. Characterization of Cu(II)-HKUST-1; S4. Hydrolytic stability study of RhCu-btc-HKUST-1 and Cu(II)-HKUST-1; S4.1. DFT calculations of Rh(II) and Cu(II) paddlewheels in water; S5. Characterization of RhCu-(Br)btc-HKUST-1; S6. Characterization of RhCu-(NO2)btc-HKUST-1; S7. Characterization of RhCu-(NH2)btc-HKUST-1; S8. Characterization of RhCu-(COOH)btc-HKUST-1., Metal–organic frameworks (MOFs) assembled from multiple building blocks exhibit greater chemical complexity and superior functionality in practical applications. Herein, we report a new approach based on using prefabricated cavities to design isoreticular multicomponent MOFs from a known parent MOF. We demonstrate this concept with the formation of multicomponent HKUST-1 analogues, using a prefabricated cavity that comprises a cuboctahedral Rh­(II) metal–organic polyhedron functionalized with 24 carboxylic acid groups. The cavities are reticulated in three dimensions via Cu­(II)-paddlewheel clusters and (functionalized) 1,3,5-benzenetricarboxylate linkers to form three- and four-component HKUST-1 analogues., Peer reviewed

Figure S1. Impedance spectra of the Pt/LCO/CGO/LCO/Pt symmetrical cell (black solid line) and blank Pt/CGO/Pt (red solid line) at (a) 200 °C and (b) 600 °C., Peer reviewed

7 pages. -- Content: 1. Chemical and biological reagents; 2. BiMW interferometer sensor; 2.1. The BiMW device; 2.2. BiMW sensor chips cleaning and silanization; 3. Data analysis; 4. Figures S1-S4 S-4; 5. Lung cancer clinical samples. Table S-1., The rapid diagnosis of cancer, especially in its early stages, is crucial for on-time medical treatment and for increasing the patient survival rate. Lung cancer shows the highest mortality rate and the lowest 5-year survival rate due to the late diagnosis in advanced cancer stages. Providing rapid and reliable diagnostic tools is a top priority to address the problem of a delayed cancer diagnosis. We introduce a nanophotonic biosensor for the direct and real-time detection in human plasma of the microRNA-21-5p biomarker related to lung cancer. The biosensor employs a silicon photonic bimodal interferometric waveguide that provides a highly sensitive detection in a label-free format. We demonstrate a very competitive detectability for direct microRNA-21-5p biomarker assays in human plasma samples (estimated LOD: 25 pM). The diagnostic capability of our biosensor was validated by analyzing 40 clinical samples from healthy individuals and lung cancer patients, previously analyzed by reverse-transcription quantitative polymerase chain reaction (qRT-PCR). We could successfully identify and quantify the levels of microRNA in a one-step assay, without the need for DNA extraction or amplification steps. The study confirmed the significance of implementing this biosensor technique compared to the benchmarking molecular analysis and showed excellent agreement with previous results employing the traditional qRT-PCR. This work opens new possibilities for the true implementation of point-of-care biosensors that enable fast, simple, and efficient early diagnosis of cancer diseases., Peer reviewed

List of sequences used in this work, FokI-assisted digestion of DNA duplexes and DNA/RNA hybrids, digestion of DNA duplexes and DNA/RNA hybrids mediated by BanI and FokI, working principle of the FokI-assisted digestion method, design of target DNA/RNA sequences and reporter oligonucleotides, LOD of the proposed reactions, enhanced detection of individual SARS-CoV-2 sequences, FokI-assisted signal amplification allows the simultaneous detection of multiple targets, FokI-assisted signal amplification discriminates between known SARS-CoV-2 variants, and specificity and LOD of the RCA-enhanced reaction., Peer reviewed