TY - JOUR A1 - Ankli, P. P. A1 - Abdelwahab, A. A. A1 - Logachov, A. A1 - Bugiel, R. A1 - Drobne, D. A1 - Novak, S. A1 - Kranjc, E. A1 - Saje, S. A1 - Pellegrino, F. A1 - Alladio, E. A1 - Sordello, F. A1 - Corrao, E. A1 - Hodoroaba, Vasile-Dan A1 - Radnik, Jörg A1 - Mrkwitschka, Paul A1 - Madbouly, Loay Akmaal A1 - Akdemir, Yücel A1 - Gulumian, M. A1 - Wepener, V. A1 - Andraos, C. A1 - Boodhia, K. A1 - Jones, E. A1 - Doolin, A. A1 - Leuchtenberg, K. A1 - Valsami Jones, E. A1 - Rocca, C. A1 - Ibrahim, B. A1 - Singh, D. A1 - Chakraborty, S. A1 - Jurkschat, K. A1 - Johnston, C. A1 - Van Der Zande, M. A1 - Fernandez, D. A1 - Queipo, P. A1 - Clifford, C. A1 - Hardy, B. T1 - Knowledge Infrastructure supporting image-based characterisation of 2D graphene materials N2 - As part of the European Horizon ACCORDs project, advanced methods are being developed for the image-based characterisation of 2D nanomaterials. Given the complexity of this task, robust nd wellorganised data management is critical to ensuring high-quality outcomes. To support this, we have established a knowledge infrastructure that serves as the central repository for protocols, images and experimental data which are stored in a standardised, harmonised manner and in accordance with the FAIR principles – Findable, Accessible, Interoperable and Reusable and open science. This machine-readable framework enables the systematic and computationally automated correlation of image features with experimental descriptors, facilitating accurate material characterisation and transparent reporting which is all integrated in the ACCORDs KI. KW - Graphene-related 2D materials (GR2M) KW - 2D materials KW - Knowledge infrastructure KW - Characterisation PY - 2025 DO - https://doi.org/10.1016/j.toxlet.2025.07.660 SN - 0378-4274 VL - 411 SP - S281 EP - S282 PB - Elsevier B.V. AN - OPUS4-65061 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Ankli, P.P. A1 - Ali, A. A1 - Hodzic, S. A1 - Logachov, A. A1 - Maciejczuk, K. A1 - Milochiv, A. A1 - Hardy, S. A1 - Hardy, B. A1 - Novak, S. A1 - Kranjc, E. A1 - Kononenko, V. A1 - Saje, S. A1 - Hodoroaba, Vasile-Dan A1 - Radnik, Jörg A1 - Akmal, Loay A1 - Mrkwitschka, Paul A1 - Pellegrino, F. A1 - Rossi, A. A1 - Alladio, E. A1 - Sordello, F. A1 - Gulumian, M. A1 - Valsami-Jones, E. A1 - Andraos, C. A1 - Wepener, V. A1 - Jurkschat, K. A1 - Jones, E. A1 - Singh, D. A1 - Ibrahim, B. A1 - van der Zande, M. A1 - Fernandez-Poulussen, D. A1 - Queipo, P. A1 - Drobne, D. T1 - Data management for image-based characterisation of 2D nano-materials N2 - The ACCORDs project, funded through Horizon Europe, is pioneering a novel approach to investigate Graphene Family Materials (GFMs) through image analysis. Our aim is to unveil how these materials might influence health and the environment. To achieve this, we are developing a platform designed for the easy retrieval, access, sharing, and utilisation of GFM data and the coordination between biological and physico-chemical data formats. Integral to this platform is an OMERO-based library for image storage, alongside data collection forms and image analysis tools. Efforts are underway to streamline the process for researchers to upload and disseminate their findings, manage information within a database and navigate the data with ease. Adhering to REMBI guidelines, which set the standard for annotating biological images with metadata, we ensure our data collection is comprehensive and adheres to established best practices. Initially, we are employing thresholding and basic machine learning techniques for image segmentation, laying the groundwork for advanced analysis through deep learning to gain more profound insights. Upon completion, the project will deliver a comprehensive platform facilitating efficient data and image management concerning GFMs. This platform will enable the straightforward discovery and use of protocols and results, all organised in accordance with the FAIR principles – Findable, Accessible, Interoperable, and Reusable. This initiative is poised to significantly impact materials science, enhancing our comprehension of the safety and environmental implications of 2D materials. KW - Graphene KW - Image analysis KW - Data management PY - 2024 DO - https://doi.org/10.1016/j.toxlet.2024.07.655 VL - 399 SP - S271 PB - Elsevier B.V. AN - OPUS4-61011 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Pellegrino, F. A1 - Sordello, F. A1 - Mino, L. A1 - Minero, C. A1 - Hodoroaba, Vasile-Dan A1 - Martra, G. A1 - Maurino, V. T1 - Formic acid photoreforming for hydrogen production on shape-controlled anatase TiO2 nanoparticles: Assessment of the role of fluorides, {101}/{001} surfaces ratio, and platinization N2 - Hydrogen production via formate photoreforming on TiO2 is characterized by marked dependence on the ratio between {101} and {001} surfaces for anatase nanoparticles. We observed higher rates of hydrogen Evolution with the increase of the {101} facets presence, owing to their reductive nature. This helps the Pt photodeposition in the early stages of Irradiation and, then, the hydrogen ion reduction reaction. The selective photodeposition of 2 nm Pt nanoparticles on {101} facets was confirmed by transmission electron microscopy (TEM) micrographs. The results are confirmed also by experiments carried out without the use of Pt as cocatalyst and by photoelectrochemical measurements. The work also explains the marginal effect of the fluorination on the H2 evolution. KW - Titanium dioxide KW - Fluoride KW - Platinum KW - Nanoparticles KW - Controlled-shape KW - Hydrogen photoproduction KW - Surface PY - 2019 UR - https://pubs.acs.org/doi/10.1021/acscatal.9b01861 DO - https://doi.org/10.1021/acscatal.9b01861 SN - 2155-5435 VL - 9 IS - 8 SP - 6692 EP - 6697 PB - ACS Publications AN - OPUS4-48355 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Pellegrino, F. A1 - Sordello, F. A1 - Mino, L. A1 - Prozzi, M. A1 - Mansfeld, Ulrich A1 - Hodoroaba, Vasile-Dan A1 - Minero, C. T1 - Polyethylene Glycol as Shape and Size Controller for the Hydrothermal Synthesis of SrTiO3 Cubes and Polyhedra N2 - Understanding the correlation between the morphological and functional properties of particulate materials is crucial across all fields of physical and natural sciences. This manuscript reports on the investigation of the effect of polyethylene glycol (PEG) employed as a capping Agent in the synthesis of SrTiO3 crystals. The crucial influence of PEG on both the shape and size of the strontium titanate particles is revealed, highlighting the effect on the photocurrents measured under UV–Vis irradiation. KW - Polyethylene glycol KW - Strontium titanate KW - Controlled morphology KW - Photoelectrochemistry KW - Electron microscopy KW - EDS PY - 2020 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-512892 DO - https://doi.org/10.3390/nano10091892 VL - 10 IS - 9 SP - 1892 PB - MDPI CY - Basel, CH AN - OPUS4-51289 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Pellegrino, F. A1 - Isopescu, R. A1 - Pellutiè, L. A1 - Sordello, F. A1 - Rossi, A. M. A1 - Ortel, Erik A1 - Martra, G. A1 - Hodoroaba, Vasile-Dan A1 - Maurino, V. T1 - Machine learning approach for elucidating and predicting the role of synthesis parameters on the shape and size of TiO2 nanoparticles N2 - In the present work a series of design rules are developed in order to tune the morphology of TiO2 nanoparticles through hydrothermal process. Through a careful experimental design, the influence of relevant process parameters on the synthesis outcome are studied, reaching to the develop predictive models by using Machine Learning methods. The models, after the validation and training, are able to predict with high accuracy the synthesis outcome in terms of nanoparticle size, polydispersity and aspect ratio. Furthermore, they are implemented by reverse engineering approach to do the inverse process, i.e. obtain the optimal synthesis parameters given a specific product characteristic. For the first time, it is presented a synthesis method that allows continuous and precise control of NPs morphology with the possibility to tune the aspect ratio over a large range from 1.4 (perfect truncated bipyramids) to 6 (elongated nanoparticles) and the length from 20 to 140 nm. KW - Machine learning KW - Nanoparticles KW - Titanium dioxide KW - Size KW - Shape KW - Synthesis PY - 2020 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-515084 DO - https://doi.org/10.1038/s41598-020-75967-w VL - 10 IS - 1 SP - 18910 PB - Springer Nature AN - OPUS4-51508 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Sordello, F. A1 - Prozzi, M. A1 - Hodoroaba, Vasile-Dan A1 - Radnik, Jörg A1 - Pellegrino, F. T1 - Increasing the HER efficiency of photodeposited metal nanoparticles over TiO2 using controlled periodic illumination N2 - Although the use of noble metal catalysts can increase the efficiency of hydrogen evolution reaction, the process is still limited by the characteristics of the metal-hydrogen (M−H) bond, which can be too strong or too weak, depending on the metal employed. Studies revealed that the hydrogen affinity for the metal surface (i.e. H absorption/desorption) is regulated also by the potential at the metal nanoparticles. Through controlled periodic illumination (CPI) of a series of metal/TiO2 suspensions, here we demonstrated that an increase of the HER efficiency is possible for those photodeposited metals which have a Tafel slope below 125 mV. Two possible explanations are here reported, in both of them the M−H interaction and the metal covering level play a prominent role, which also depend on the prevailing HER mechanism (Volmer-Heyrovsky or Volmer-Tafel). KW - Controlled periodic illumination KW - Hydrogen evolution reaction KW - Titanium dioxide KW - Photoreforming KW - Volcano plot KW - Sabatier KW - Nanoparticles PY - 2024 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-589875 DO - https://doi.org/10.1016/j.jcat.2023.115215 VL - 429 SP - 1 EP - 7 PB - Elsevier B.V. AN - OPUS4-58987 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Pellegrino, F. A1 - Pellutiè, L. A1 - Sordello, F. A1 - Minero, C. A1 - Ortel, Erik A1 - Hodoroaba, Vasile-Dan A1 - Maurino, V. T1 - Influence of agglomeration and aggregation on the photocatalytic activity of TiO2 nanoparticles N2 - Particle aggregation and agglomeration influence the optical properties of materials and therefore theirability to absorb and scatter the incoming radiation, also affecting their photocatalytic activity. Wehave studied the correlation between aggregation and photocatalytic activity for titanium dioxide bymeans of experimental measurements of extinction and photocatalytic activity and calculations of theiroptical properties (extinction, absorption and scattering cross-sections). This approach can be adoptedto quantitatively assess the quantum yields of the heterogeneous photocatalytic systems. The study wasperformed on TiO2PC105 Cristal ACTiVTM, made of aggregated (and agglomerated) primary particles of anatase. The size of the aggregates has been reduced with ultra-sonication. Aqueous suspensions of the obtained materials were characterized by measuring the optical properties (UV–vis extinction), the sizing properties (DLS) and the photocatalytic activity (degradation of phenol under standard con-ditions). The extinction and absorption spectra of the suspensions were derived from the calculatedcoefficients, considering also the size distributions measured with DLS, and revealed that light absorptionis maximized when particle aggregation and agglomeration are avoided, while diffusion of the incomingradiation dominates when large aggregates and agglomerates are present. The present paper represents a valuable approach to the accurate and reproducible measurement of the photocatalytic activity ofTiO2nanoparticles suspensions, thus allowing a more reliable comparison of the properties of different materials. KW - Titanium dioxide KW - Nanoparticles KW - Agglomeration/aggregation KW - Photocatalysis KW - Quantum yield PY - 2017 DO - https://doi.org/10.1016/j.apcatb.2017.05.046 SN - 0926-3373 SN - 1873-3883 VL - 216 SP - 80 EP - 87 PB - Elsevier B.V. AN - OPUS4-40477 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -