Reproducibility of methods required to identify and characterize nanoforms of substances

Babick, 2016, How reliably can a material be classified as a nanomaterial? Available particle-sizing techniques at work, J. Nanopart. Res. Springer Netherlands., 10.1007/s11051-016-3461-7 ECHA, 2017 ECHA, 2019 European Commission, 2018, 48 European Parliament and Council, 2006, 1 Hackley, 2013, “Real-world” precision, bias, and between-laboratory variation for surface area measurement of a titanium dioxide nanomaterial in powder form, J. Nanopart. Res., 15, 10.1007/s11051-013-1742-y Heyden, 2007, Set-up and evaluation of interlaboratory studies, J. Chromatogr. A, 1158, 158, 10.1016/j.chroma.2007.02.053 Holzwarth, 2020, 44Ti diffusion labelling of commercially available, engineered TiO2 and SiO2 nanoparticles, J. Nanopart. Res., 22 Horwitz, 1995, Precision in analytical measurements: expected values and consequences in geochemical analyses, Fresenius J. Anal. Chem., 351, 507, 10.1007/BF00322724 Horwitz, 1980, Quality assurance in the analytical analysis of foods for trace constituents, J. Assoc. Off. Anal. Chem., 63 Hunt, 2021 Janer, 2021, Creating sets of similar nanoforms with the ECETOC NanoApp: real-life case studies, Nanotoxicology., 10.1080/17435390.2021.1946186 Janer, 2021, Rationale and decision rules behind the ECETOC NanoApp to support registration of sets of similar nanoforms within REACH, Nanotoxicology, 15, 145, 10.1080/17435390.2020.1842933 Jeliazkova, 2022, How can we justify grouping of nanoforms for hazard assessment? Concepts and tools to quantify similarity, NanoImpact, 25, 100366, 10.1016/j.impact.2021.100366 Keller, 2021, Dosimetry in vitro – exploring the sensitivity of deposited dose predictions vs. affinity, polydispersity, freeze-thawing, and analytical methods, Nanotoxicology, 15, 21, 10.1080/17435390.2020.1836281 Lamberty, 2011, Interlaboratory comparison for the measurement of particle size and zeta potential of silica nanoparticles in an aqueous suspension, J. Nanopart. Res., 10.1007/s11051-011-0624-4 Loosli, 2020 Loosli, 2021, Refinement of the selection of physicochemical properties for grouping and read-across of nanoforms, NanoImpact. Magnusson, 2014 Mech, 2019, The NanoDefine methods manual Mülhopt, 2018, Characterization of nanoparticle batch-to-batch variability, Nanomaterials, 8, 10.3390/nano8050311 NANoREG OECD, 2015, 1 Park, 2018, Development of a systematic method to assess similarity between nanomaterials for human hazard evaluation purposes – lessons learnt, Nanotoxicology, 0, 1 Rasmussen, 2013 Sahlgren, 2019 Schmidt, 2021 Singh, 2014 Steger, 1998, An unbiased detector of curvilinear structures, IEEE Trans. Pattern Anal. Mach. Intell., 20 Stone, 2020, A framework for grouping and read-across of nanomaterials- supporting innovation and risk assessment, Nano Today, 35, 1, 10.1016/j.nantod.2020.100941 Thompson, 2000, Recent trends in inter-laboratory precision at ppb and sub-ppb concentrations in relation to fitness for purpose criteria in proficiency testing, Analyst, 125, 385, 10.1039/b000282h Verleysen, 2019, Evaluation of a TEM based approach for size measurement of particulate (nano)materials, Materials (Basel)., 12, 1, 10.3390/ma12142274 Wohlleben, 2019, The nanoGRAVUR framework to group (nano)materials for their occupational, consumer, environmental risks based on a harmonized set of material properties, applied to 34 case studies, Nanoscale, 11, 17637, 10.1039/C9NR03306H