Analytical and Characterisation Excellence in nanomaterial risk assessment: A tiered approach

    Project: EU research project

    Project Details


    An increasing number of nanomaterials (NMs) are entering the market in every day products spanning from health care and leisure to electronics, cosmetics and foodstuff. Nanotechnology is a truly enabling technology, with unlimited potential for innovation. However, the novelty in properties and forms of NMs makes the development of a well-founded and robust legislative framework to ensure safe development of nano-enabled products particularly challenging. At the heart of the challenge lies the difficulty in the reliable and reproducible characterisation of NMs given their extreme diversity and dynamic nature, particularly in complex environments, such as within different biological, environmental and technological compartments. Two key steps can resolve this: 1) the development of a holistic framework for reproducible NM characterisation, spanning from initial needs assessment through method selection to data interpretation and storage; and 2) the embedding of this framework in an operational, linked-up ontological regime to allow identification of causal relationships between NMs properties, be they intrinsic, extrinsic or calculated, and biological, (eco)toxicological and health impacts fully embedded in a mechanistic risk assessment framework. ACEnano was conceived in response to the NMBP 26 call with the aim to comprehensively address these two steps. More specifically ACEnano will introduce confidence, adaptability and clarity into NM risk assessment by developing a widely implementable and robust tiered approach to NM physico-chemical characterisation that will simplify and facilitate contextual (hazard or exposure) description and its transcription into a reliable NMs grouping framework. This will be achieved by the creation of a conceptual “toolbox” that will facilitate decision-making in choice of techniques and SOPs, linked to a characterisation ontology framework for grouping and risk assessment and a supporting data management system.
    Effective start/end date1/01/1730/06/21


    Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
    • Automation and Standardization—A Coupled Approach Towards Reproducible Sample Preparation Protocols for Nanomaterial Analysis

      Radnik, J., Hodoroaba, V. D., Jungnickel, H., Tentschert, J., Luch, A., Sogne, V., Meier, F., Burr, L., Schmid, D., Schlager, C., Yoon, T. H., Peters, R., Briffa, S. M. & Valsami-Jones, E., 1 Feb 2022, In: Molecules. 27, 3, 985.

      Research output: Contribution to journalArticleAcademicpeer-review

      Open Access
      1 Citation (Scopus)
    • Earthworms ingest microplastic fibres and nanoplastics with effects on egestion rate and long-term retention

      Lahive, E., Cross, R., Saarloos, A. I., Horton, A. A., Svendsen, C., Hufenus, R. & Mitrano, D. M., 2022, In: Science of the Total Environment. 807, 151022.

      Research output: Contribution to journalArticleAcademicpeer-review

      66 Citations (Scopus)
    • Versailles project on advanced materials and standards (VAMAS) interlaboratory study on measuring the number concentration of colloidal gold nanoparticles

      Minelli, C., Wywijas, M., Bartczak, D., Cuello-Nuñez, S., Infante, H. G., Deumer, J., Gollwitzer, C., Krumrey, M., Murphy, K. E., Johnson, M. E., Montoro Bustos, A. R., Strenge, I. H., Faure, B., Høghøj, P., Tong, V., Burr, L., Norling, K., Höök, F., Roesslein, M., Kocic, J., & 82 othersHendriks, L., Kestens, V., Ramaye, Y., Contreras Lopez, M. C., Auclair, G., Mehn, D., Gilliland, D., Potthoff, A., Oelschlägel, K., Tentschert, J., Jungnickel, H., Krause, B. C., Hachenberger, Y. U., Reichardt, P., Luch, A., Whittaker, T. E., Stevens, M. M., Gupta, S., Singh, A., Lin, F. H., Liu, Y. H., Costa, A. L., Baldisserri, C., Jawad, R., Andaloussi, S. E. L., Holme, M. N., Lee, T. G., Kwak, M., Kim, J., Ziebel, J., Guignard, C., Cambier, S., Contal, S., Gutleb, A. C., Tatarkiewicz, J., Jankiewicz, B. J., Bartosewicz, B., Wu, X., Fagan, J. A., Elje, E., Rundén-Pran, E., Dusinska, M., Kaur, I. P., Price, D., Nesbitt, I., O'Reilly, S., Peters, R. J. B., Bucher, G., Coleman, D., Harrison, A. J., Ghanem, A., Gering, A., McCarron, E., Fitzgerald, N., Cornelis, G., Tuoriniemi, J., Sakai, M., Tsuchida, H., Maguire, C., Prina-Mello, A., Lawlor, A. J., Adams, J., Schultz, C. L., Constantin, D., Thanh, N. T. K., Tung, L. D., Panariello, L., Damilos, S., Gavriilidis, A., Lynch, I., Fryer, B., Quevedo, A. C., Guggenheim, E., Briffa, S., Valsami-Jones, E., Huang, Y., Keller, A., Kinnunen, V. T., Perämäki, S., Krpetic, Z., Greenwood, M. & Shard, A. G., 9 Mar 2022, In: Nanoscale. 14, 12, p. 4690-4704

      Research output: Contribution to journalArticleAcademicpeer-review

      Open Access
      17 Citations (Scopus)