Size-Specific, Dynamic, Probabilistic Material Flow Analysis of Titanium Dioxide Releases into the Environment
العنوان: | Size-Specific, Dynamic, Probabilistic Material Flow Analysis of Titanium Dioxide Releases into the Environment |
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المؤلفون: | Yuanfang Zheng, Bernd Nowack |
المصدر: | Environmental Science & Technology. 55:2392-2402 |
بيانات النشر: | American Chemical Society (ACS), 2021. |
سنة النشر: | 2021 |
مصطلحات موضوعية: | Titanium, Materials science, Material flow analysis, Engineered nanomaterials, Coating materials, Probabilistic logic, General Chemistry, 010501 environmental sciences, 01 natural sciences, 6. Clean water, Nanostructures, Nanomaterials, Physical Phenomena, chemistry.chemical_compound, chemistry, Chemical engineering, 13. Climate action, Particle-size distribution, Titanium dioxide, Environmental Chemistry, Particle size, Particle Size, 0105 earth and related environmental sciences |
الوصف: | Most of the existing exposure models for engineered nanomaterials (ENMs) do not consider particle size, crystalline forms, and coating materials that all may influence the material's fate, transport, and toxicity. Our work aimed to incorporate particle size distributions into a material flow analysis (MFA) to develop a size-specific, dynamic, probabilistic MFA model (ss-DPMFA). Using titanium dioxide (TiO2) as a first case study, we aimed to determine the contribution of conventional TiO2 pigments to the total amount of nanoscale TiO2 released into the environment. Besides providing information on mass flows, the new model used particle size distributions and crystalline forms to describe the stocks and flows of TiO2. The most striking modeling result to emerge was that before TiO2 ENMs came onto the market as such in 2000, 22,400 tons of nanosized ( |
تدمد: | 1520-5851 0013-936X |
DOI: | 10.1021/acs.est.0c07446 |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7123a5fc81afd7f7f5f3da160d1be477 https://doi.org/10.1021/acs.est.0c07446 |
Rights: | OPEN |
رقم الانضمام: | edsair.doi.dedup.....7123a5fc81afd7f7f5f3da160d1be477 |
قاعدة البيانات: | OpenAIRE |
تدمد: | 15205851 0013936X |
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DOI: | 10.1021/acs.est.0c07446 |