TY - JOUR A1 - Rossi, Andrea A1 - Corrao, Elena A1 - Alladio, Eugenio A1 - Drobne, Damjana A1 - Hodoroaba, Vasile-Dan A1 - Jurkschat, Kerstin A1 - Kononenko, Veno A1 - Madbouly, Loay Akmal A1 - Mrkwitschka, Paul A1 - Yasamin, Nakhli A1 - Novak, Sara A1 - Radnik, Jörg A1 - Saje, Špela A1 - Santalucia, Rosangela A1 - Sordello, Fabrizio A1 - Pellegrino, Francesco T1 - Multivariate optimization and characterization of graphene oxide via design of experiments and chemometric analysis N2 - Controlling the structure and properties of graphene oxide (GO) remains a challenge due to the poor reproducibility of conventional synthetic protocols and limited understanding of parameter-property relationships. In this study, we present an integrated analytical framework that combines Design of Experiments (DoE) with chemometric modelling to systematically assess the effects of eight synthesis variables on GO’s physicochemical and functional features. A Plackett–Burman experimental design enabled efficient screening of synthesis conditions, while comprehensive characterization (spanning UV–Vis spectroscopy, XPS, SEM–EDX, TEM–EDX, and XRD) was coupled with multivariate tools (Principal Component Analysis and Multiple Linear Regression) to identify statistically significant correlations between synthetic inputs and material responses. Notably, we demonstrate that UV–Vis spectra can serve as a robust proxy for oxidation state, offering a rapid and accessible alternative to surface-sensitive methods. The approach yields a predictive analytical toolkit for guiding GO synthesis and highlights a generalizable strategy for the rational design of flat nanomaterials. This work supports reproducible, resource-efficient material development aligned with Safe and Sustainable by Design (SSbD) principles. KW - Graphene oxide KW - 2D-materials KW - Design of Experiment KW - Synthesis KW - Chemometric analysis PY - 2026 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-652576 DO - https://doi.org/10.1016/j.flatc.2025.100988 SN - 2452-2627 VL - 55 SP - 1 EP - 9 PB - Elsevier B.V. AN - OPUS4-65257 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Rossi, Andrea A1 - Alladio, Eugenio A1 - Drobne, Damjana A1 - Hodoroaba, Vasile-Dan A1 - Jurkschat, Kerstin A1 - Kononenko, Veno A1 - Madbouly, Loay Akmal A1 - Mrkwitschka, Paul A1 - Novak, Sara A1 - Radnik, Jörg A1 - Saje, Špela A1 - Santalucia, Rosangela A1 - Sordello, Fabrizio A1 - Pellegrino, Francesco T1 - Development of a one-pot synthesis of rGO in water by optimizing Tour’s method parameters N2 - Since its first synthesis in 2004, graphene has been widely studied and several different synthesis methods has been developed. Solvent exfoliation of graphite and the reduction of graphene oxide previously obtained through graphite oxidation are the most employed. In this work, we exploited synthesis conditions of a method usually employed for obtaining graphene oxide (the Tour’s method) for directly obtaining a very poorly oxidised material with characteristics like reduced graphene oxide. For the first time, a one-pot synthesis of reduced graphene oxide (rGO) is reported avoiding the use of a post-synthesis chemical or thermal reduction of the graphene oxide that requires further reagents, heat and time. KW - Graphene KW - 2D-materials KW - Tour's method KW - rGO KW - One-pot synthesis PY - 2024 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-611827 DO - https://doi.org/10.1038/s41598-024-73606-2 SN - 2045-2322 VL - 14 SP - 1 EP - 10 PB - Springer Nature CY - London AN - OPUS4-61182 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Dumit, Verónica I. A1 - Furxhi, Irini A1 - Nymark, Penny A1 - Afantitis, Antreas A1 - Ammar, Ammar A1 - Amorim, Monica J. B. A1 - Antunes, Dalila A1 - Avramova, Svetlana A1 - Battistelli, Chiara L. A1 - Basei, Gianpietro A1 - Bossa, Cecilia A1 - Cimpan, Emil A1 - Cimpan, Mihaela Roxana A1 - Ciornii, Dmitri A1 - Costa, Anna A1 - Delpivo, Camilla A1 - Dusinska, Maria A1 - Fonseca, Ana Sofia A1 - Friedrichs, Steffi A1 - Hodoroaba, Vasile-Dan A1 - Hristozov, Danail A1 - Isigonis, Panagiotis A1 - Jeliazkova, Nina A1 - Kochev, Nikolay A1 - Kranjc, Eva A1 - Maier, Dieter A1 - Melagraki, Georgia A1 - Papadiamantis, Anastasios G. A1 - Puzyn, Tomasz A1 - Rauscher, Hubert A1 - Reilly, Katie A1 - Jiménez, Araceli Sánchez A1 - Scott‐Fordsmand, Janeck J. A1 - Shandilya, Neeraj A1 - Shin, Hyun Kil A1 - Tancheva, Gergana A1 - van Rijn, Jeaphianne P. M. A1 - Willighagen, Egon L. A1 - Wyrzykowska, Ewelina A1 - Bakker, Martine I. A1 - Drobne, Damjana A1 - Exner, Thomas E. A1 - Himly, Martin A1 - Lynch, Iseult T1 - Challenges and Future Directions in Assessing the Quality and Completeness of Advanced Materials Safety Data for Re‐Usability: A Position Paper From the Nanosafety Community N2 - Ensuring data quality, completeness, and interoperability is crucial for progressing safety research, Safe‐and‐Sustainable‐by‐Design approaches, and regulatory approval of nanoscale and advanced materials. While the FAIR (Findable, Accessible, Interoperable, and Re‐usable) principles aim to promote data re‐use, they do not address data quality, essential for data re‐use for advancing sustainable and safe innovation. Effective quality assurance procedures require (meta)data to conform to community‐agreed standards. Nanosafety data offer a key reference point for developing best practices in data management for advanced materials, as their large‐scale generation coincided with the emergence of dedicated data quality criteria and concepts such as FAIR data. This work highlights frameworks, methodologies, and tools that address the challenges associated with the multidisciplinary nature of nanomaterial safety data. Existing approaches to evaluating the reliability, relevance, and completeness of data are considered in light of their potential for integration into harmonized standards and adaptation to advance material requirements. The goal here is to emphasize the importance of automated tools to reduce manual labor in making (meta)data FAIR, enabling trusted data re‐use and fostering safer, more sustainable innovation of advanced materials. Awareness and prioritization of these challenges are critical for building robust data infrastructures. KW - Advanced materials KW - Safety data KW - Re-usability KW - Nanosafety KW - SSbD KW - FAIR KW - Standardisation PY - 2025 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-652918 DO - https://doi.org/10.1002/adsu.202500567 SN - 2366-7486 SP - 1 EP - 18 PB - Wiley-VCH CY - Weinheim AN - OPUS4-65291 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -