TY - JOUR A1 - Peters, R. A1 - Elbers, I. A1 - Undas, A. A1 - Sijtsma, E. A1 - Briffa, S. A1 - Carnell-Morris, P. A1 - Siupa, A. A1 - Yoon, T.-H. A1 - Burr, L. A1 - Schmid, D. A1 - Tentschert, J. A1 - Hachenberger, Y. A1 - Jungnickel, H. A1 - Luch, A. A1 - Meier, F. A1 - Kocic, J. A1 - Kim, J. A1 - Park, B. C. A1 - Hardy, B. A1 - Johnston, C. A1 - Jurkschat, K. A1 - Radnik, Jörg A1 - Hodoroaba, Vasile-Dan A1 - Lynch, I. A1 - Valsami-Jones, E. T1 - Benchmarking the ACEnano toolbox for characterisation of nanoparticle size and concentration by interlaboratory comparisons N2 - ACEnano is an EU-funded project which aims at developing, optimising and validating methods for the detection and characterisation of nanomaterials (NMs) in increasingly complex matrices to improve confidence in the results and support their use in regulation. Within this project, several interlaboratory comparisons (ILCs) for the determination of particle size and concentration have been organised to benchmark existing analytical methods. In this paper the results of a number of these ILCs for the characterisation of NMs are presented and discussed. The results of the analyses of pristine well-defined particles such as 60 nm Au NMs in a simple aqueous suspension showed that laboratories are well capable of determining the sizes of these particles. The analysis of particles in complex matrices or formulations such as consumer products resulted in larger variations in particle sizes within technologies and clear differences in capability between techniques. Sunscreen lotion sample analysis by laboratories using spICP-MS and TEM/SEM identified and confirmed the TiO2 particles as being nanoscale and compliant with the EU definition of an NM for regulatory purposes. In a toothpaste sample orthogonal results by PTA, spICP-MS and TEM/SEM agreed and stated the TiO2 particles as not fitting the EU definition of an NM. In general, from the results of these ILCs we conclude that laboratories are well capable of determining particle sizes of NM, even in fairly complex formulations. KW - Nanomaterials KW - Benchmarking KW - Inter-laboratory comparison KW - ACEnano KW - Characterisation KW - Size KW - Concentration PY - 2021 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-531852 DO - https://doi.org/10.3390/molecules26175315 SN - 1420-3049 VL - 26 IS - 17 SP - 1 EP - 23 PB - MDPI CY - Basel AN - OPUS4-53185 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - 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 -