Abstract
Evidence continues to grow of the importance of in vitro and in vivo dosimetry in the hazard assessment and ranking of engineered nanomaterials (ENMs). Accurate dose metrics are particularly important for in vitro cellular screening to assess the potential health risks or bioactivity of ENMs. To ensure meaningful and reproducible quantification of in vitro dose, with consistent measurement and reporting between laboratories, it is necessary to adopt standardized and integrated methodologies for (i) generation of stable ENM suspensions in cell culture media; (ii) colloidal characterization of suspended ENMs, particularly of properties that determine particle kinetics in an in vitro system (size distribution and formed agglomerate effective density); and (iii) robust numerical fate and transport modeling for accurate determination of the ENM dose delivered to cells over the course of the in vitro exposure. Here we present an integrated comprehensive protocol based on such a methodology for in vitro dosimetry, including detailed standardized procedures for each of these three critical aims. The entire protocol requires ∼6–12 h to complete.
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Acknowledgements
This research project was supported by a Harvard–National Institute of Environmental Health Sciences Nanosafety Center grant (1U24ES026946) and a National Science Foundation grant (1436450), both awarded to P.D.
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G.M.D., J.M.C., G.P., and P.D. co-wrote the manuscript. P.D. oversaw the manuscript preparation.
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Supplementary Software
Supplementary Software. This file contains the MATLAB .m code to run the distorted grid computational dosimetry model as described in the text. (TXT 40 kb)
Supplementary Data
Supplementary Data. This file contains the dosimetry output obtained from running the distorted grid computational model with parameters set as described in the text for an example Fe2O3 ENM. (XLSX 1920 kb)
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DeLoid, G., Cohen, J., Pyrgiotakis, G. et al. Preparation, characterization, and in vitro dosimetry of dispersed, engineered nanomaterials. Nat Protoc 12, 355–371 (2017). https://doi.org/10.1038/nprot.2016.172
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DOI: https://doi.org/10.1038/nprot.2016.172
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