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Articles

Probabilistic model for assessing occupational risk during the handling of nanomaterials

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Pages 1258-1270 | Received 17 May 2020, Accepted 21 Jul 2020, Published online: 10 Sep 2020

References

  • Agumba, J. N. 2013. “A Construction Health and Safety Performance Improvement Model For South African Small and Medium Enterprises.” University of Johannesburg. https://ujcontent.uj.ac.za/vital/access/manager/Repository/uj:7810?site_name=GlobalView
  • Akter, M., M. T. Sikder, M. M. Rahman, A. K. M. A. Ullah, K. F. B. Hossain, S. Banik, T. Hosokawa, T. Saito, and M. Kurasaki. 2018. “A Systematic Review on Silver Nanoparticles-Induced Cytotoxicity: Physicochemical Properties and Perspectives.” Journal of Advanced Research 9: 1–16. doi:10.1016/j.jare.2017.10.008.
  • Alsalman, A. A. 2012. “Construction Risks Allocation: Optimal Risk Allocation Decision Support Model.” Oregon State University. https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/d217qv38b
  • Andrade, L. R. B., F. G. Amaral, and W. Waissmann. 2013. “Proposals for Risk Management in Environments with Activities Involving Nanomaterials.” Vigilância Sanitária em Debate 1 (4): 25–37. https://doi.org/10.3395/vd.v1i4.176pt doi:10.3395/vd.v1i4.63en.
  • Arcuri, A. S. A., and J. M. Pontes. 2018. “Nanotecnologia e Seus Impactos Na Saúde, Meio Ambiente e No Mundo Do Trabalho.” In Ensaios Sobre Poluição e Doenças No Bras., edited by S. C. Hess, 1st ed., 315–336. São Paulo: Outras Expressões. https://www.forumat.net.br/at/sites/default/files/arq-paginas/poluicao_e_doencas_no_brasil.pdf
  • Bobbio, A., L. Portinale, M. Minichino, and E. Ciancamerla. 2001. “Improving the Analysis of Dependable Systems by Mapping Fault Trees into Bayesian Networks.” Reliability Engineering & System Safety 71 (3): 249–260. doi:10.1016/S0951-8320(00)00077-6.
  • Buzea, C., and I. Pacheco. 2019. “Toxicity of Nanoparticles.” In Nanotechnology in Eco-Efficient Construction, edited by F. Pacheco-Torgal, M. V. Diamanti, A. Nazari, C. G. Granqvist, A. Pruna, and S. Amirkhanian, 2nd ed., 705–754. Elsevier.
  • Cooke, R., and K. N. Probst. 2006. Highlights of the Expert Judgment Policy Symposium and Technical Workshop. Washington, DC: Resources for the Future. https://media.rff.org/documents/Conference-Summary.pdf
  • EU-OSHA. 2019. Manufactured Nanomaterials in the Workplace. EU Publ.
  • Fereidoon, S., H. Moriyama, and M. Bagchi. 2013. Bio-Nanotechnology : A Revolution in Food, Biomedical, and Health Sciences, edited by D. Bagchi, 1st ed. Houston, TX: Wiley-Blackwell. https://www.wiley.com/en-us/Bio+Nanotechnology%3A+A+Revolution+in+Food%2C+Biomedical+and+Health+Sciences-p-9780470670378
  • FUNDACENTRO. 2018. Os Desafios Da Saúde e Segurança Do Trabalho (SST) Para Uma Produção Segura Com o Uso de Nanotecnologias. Brasilia, Brazil. http://www.fundacentro.gov.br/arquivos/projetos/Notatecnica01-2018CorrigidaeRevisida.pdf
  • Gatoo, M. A., S. Naseem, M. Y. Arfat, A. M. Dar, K. Qasim, and S. Zubair. 2014. “Physicochemical Properties of Nanomaterials: Implication in Associated Toxic Manifestations.” BioMed Research International 2014: 498420. doi:10.1155/2014/498420.
  • Ghosh, J. K. 2008. “Probabilistic Networks and Expert Systems: Exact Computational Methods for Bayesian Networks.” International Statistical Review 76 (2): 306–307. doi:10.1111/j.1751-5823.2008.00054_8.x.
  • Gonçalves, R. A., A. L. de Oliveira Franco Rossetto, D. J. Nogueira, D. S. Vicentini, and W. G. Matias. 2018. “Comparative Assessment of Toxicity of ZnO and Amine-Functionalized ZnO Nanorods Toward Daphnia Magna in Acute and Chronic Multigenerational Tests.” Aquatic Toxicology (Amsterdam, Netherlands) 197: 32–40. doi:10.1016/j.aquatox.2018.02.002.
  • ILO. 2010. Emerging Risks and New Patterns of Prevention in a Changing World of Work. Geneva, Switzerland: International Labour Organization. https://www.ilo.org/wcmsp5/groups/public/—ed_protect/—protrav/—safework/documents/publication/wcms_123653.pdf
  • Íñigo, B., O. Jesús, J. D. y Franciso, and M. Arias. 2017. OpenMarkov. Madrid: CISIAD. http://www.openmarkov.org/docs/tutorial/
  • ISO. 2014. ISO/TS 12901-2:2014 – Nanotechnologies – Occupational Risk Management Applied to Engineered Nanomaterials – Part 2: Use of the Control Banding Approach. Geneva, Switzerland: International Organization for Standardization. https://www.iso.org/obp/ui/#iso:std:iso:ts:12901:-2:ed-1:v1:en
  • ISO. 2018. ISO 45001 – Occupational Health and Safety Management Systems – Requirements with Guidance for Use. Switzerland: International Organization for Standardization. https://www.abntcolecao.com.br/normavw.aspx?ID=303877
  • Kabir, G., S. Tesfamariam, A. Francisque, and R. Sadiq. 2015. “Evaluating Risk of Water Mains Failure Using a Bayesian Belief Network Model.” European Journal of Operational Research 240 (1): 220–234. doi:10.1016/j.ejor.2014.06.033.
  • Kaluza, S., J. Kleine Balderhaar, B. Orthen, B. Honnert, E. Jankowska, P. Pietrowski, M. G. Rosell, C. Tanarro, J. Tejedor, and A. Zugasti. 2009. Workplace Exposure to Nanoparticles. Bilbao, Spain. https://osha.europa.eu/en/publications/literature_reviews/workplace_exposure_to_nanoparticles
  • Khan, S. A. 2020. Metal Nanoparticles Toxicity: Role of Physicochemical Aspects. In Metal Nanoparticles for Drug Delivery and Diagnostic Applications, edited by M. R. Shah, M. Imran, S. Ullah, 1–11. Elsevier.
  • Kjaerulff, U. B., and A. L. Madsen. 2013. Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis, 2nd ed., 22. New York: Springer-Verlag. https://www.springer.com/gp/book/9781461451037
  • Köerich, J. S., D. J. Nogueira, V. P. Vaz, C. Simioni, M. L. N. Da Silva, L. C. Ouriques, D. S. Vicentini, and W. G. Matias. 2020. “Toxicity of Binary Mixtures of Al2O3 and ZnO Nanoparticles Toward Fibroblast and Bronchial Epithelium Cells.” Journal of Toxicology and Environmental Health, Part A 83 (9): 1–15. doi:10.1080/15287394.2020.1761496
  • Lima, M. D. C., S. M. Nassar, P. I. R. B. G. Rodrigues, P. J. F. Filho, and C. M. C. Jacinto. 2014. “Heuristic Discretization Method for Bayesian Networks.” Journal of Computer Science 10: 869–78. doi:10.3844/jcssp.2014.869.878.
  • Marvin, H. J. P., Y. Bouzembrak, E. M. Janssen, M. van der Zande, F. Murphy, B. Sheehan, M. Mullins, and H. Bouwmeester. 2017. “Application of Bayesian Networks for Hazard Ranking of Nanomaterials to Support Human Health Risk Assessment.” Nanotoxicology 11 (1): 123–133. doi:10.1080/17435390.2016.1278481.
  • Melegari, S. P., C. F. Fuzinatto, R. A. Gonçalves, B. V. Oscar, D. S. Vicentini, and W. G. Matias. 2019. “Can the Surface Modification and/or Morphology Affect the Ecotoxicity of Zinc Oxide Nanomaterials?” Chemosphere 224: 237–246. doi:10.1016/j.chemosphere.2019.02.093.
  • Money, E. S., K. H. Reckhow, and M. R. Wiesner. 2012. “The Use of Bayesian Networks for Nanoparticle Risk Forecasting: Model Formulation and Baseline Evaluation.” The Science of the Total Environment 426: 436–445. doi:10.1016/j.scitotenv.2012.03.064.
  • Moreira, A. C da S. 2017. As Redes Sociais Em Segurança e Saúde Do Trabalhador: Proposta de Uma Estrutura de Avaliação. Universidade Federal de Santa Catarina.
  • Navya, P. N., and H. K. Daima. 2016. “Rational Engineering of Physicochemical Properties of Nanomaterials for Biomedical Applications with Nanotoxicological Perspectives.” Nano Convergence 3 (1): 1–14. doi:10.1186/s40580-016-0064-z.
  • Nel, A., T. Xia, L. Mädler, and N. Li. 2006. “Toxic Potential of Materials at the Nanolevel.” Science (New York, N.Y.) 311 (5761): 622–627. doi:10.1126/science.1114397.
  • Nielsen, T. D., and F. Verner Jensen. 2007. “Analysis Tools for Bayesian Networks.” In Bayesian Networks and Decision Graphs, edited by M. Jordan, J. Kleinberg, and B. Schölkopf, 2nd ed., 167–193. New York: Springer-Verlag.
  • Nogueira, D. J., V. P. Vaz, O. S. Neto, M. L. N. da Silva, C. Simioni, L. C. Ouriques, D. S. Vicentini, and W. G. Matias. 2020. “Crystalline Phase-Dependent Toxicity of Aluminum Oxide Nanoparticles Toward Daphnia Magna and Ecological Risk Assessment.” Environmental Research 182: 108987. doi:10.1016/j.envres.2019.108987.
  • Nogueira, Diego J., M. Arl, J. S. Köerich, C. Simioni, L. C. Ouriques, D. S. Vicentini, and W. G. Matias. 2019. “Comparison of Cytotoxicity of α-Al2O3 and η-Al2O3 Nanoparticles Toward Neuronal and Bronchial Cells.” Toxicology In Vitro : An International Journal Published in Association with BIBRA 61: 104596. doi:10.1016/j.tiv.2019.104596.
  • Novello, A. M., E. Buitrago, A. Groso, and T. Meyer. 2020. “Efficient Management of Nanomaterial Hazards in a Large Number of Research Laboratories in an Academic Environment.” Safety Science 121: 158–164. doi:10.1016/j.ssci.2019.09.004.
  • Oberdörster, G., E. Oberdörster, and J. Oberdörster. 2005. “Nanotoxicology: An Emerging Discipline Evolving from Studies of Ultrafine Particles.” Environmental Health Perspectives 113 (7): 823–839. doi:10.1289/ehp.7339.
  • Ostiguy, C., M. Riediker, J. Triolet, P. Troisfontaines, D. A. Vernez, and A. Maisons. 2010. Development of a Specific Control Banding Tool for Nanomaterials: Report. Paris, France. http://www.afssa.fr/Documents/AP2008sa0407.pdf
  • Paik, S. Y., D. M. Zalk, and P. Swuste. 2008. “Application of a Pilot Control Banding Tool for Risk Level Assessment and Control of Nanoparticle Exposures.” Annals of Occupational Hygiene 52 (6): 419–428. doi:10.1093/annhyg/men041.
  • Piccinno, F., F. Gottschalk, S. Seeger, and B. Nowack. 2012. “Industrial Production Quantities and Uses of Ten Engineered Nanomaterials in Europe and the World.” Journal of Nanoparticle Research 14: 1–11. doi:10.1007/s11051-012-1109-9
  • Rajendran, S. 2006. Sustainable Construction Safety and Health Rating System. Oregon State University. https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/xg94hs79w?locale=en
  • Riediker, M., C. Ostiguy, J. Triolet, P. Troisfontaine, D. Vernez, G. Bourdel, N. Thieriet, and a Cadène. 2012. “Development of a Control Banding Tool for Nanomaterials.” Journal of Nanomaterials 2012: 879671. doi:10.1155/2012/879671.
  • Simeone, F. C., M. Blosi, S. Ortelli, and A. L. Costa. 2019. “Assessing Occupational Risk in Designs of Production Processes of Nano-Materials.” Nanoimpact 14: 100149. doi:10.1016/j.impact.2019.100149.
  • Subramanian, V., E. Semenzin, D. Hristozov, A. Zabeo, I. Malsch, E. McAlea, F. Murphy, et al. 2016. “Sustainable Nanotechnology Decision Support System: Bridging Risk Management, Sustainable Innovation and Risk Governance.” Journal of Nanoparticle Research 18:89. doi:10.1007/s11051-016-3375-4.
  • Uusitalo, L. 2007. “Advantages and Challenges of Bayesian Networks in Environmental Modelling.” Ecological Modelling 203 (3–4): 312–318. doi:10.1016/j.ecolmodel.2006.11.033.
  • Van Der Gaag, L. C. 1996. “Bayesian Belief Networks: Odds and Ends.” The Computer Journal 39: 97–113.
  • Van Duuren-Stuurman, B., S. R. Vink, K. J. M. Verbist, H. G. A. Heussen, D. H. Brouwer, D. E. D. Kroese, M. F. J. Van Niftrik, E. Tielemans, and W. Fransman. 2012. “Stoffenmanager Nano Version 1.0: A Web-Based Tool for Risk Prioritization of Airborne Manufactured Nano Objects.” The Annals of Occupational Hygiene 56 (5): 525–541. doi:10.1093/annhyg/mer113.
  • Vicentini, D. S., R. C. Puerari, K. G. Oliveira, M. Arl, S. P. Melegari, and W. G. Matias. 2017. “Toxicological Impact of Morphology and Surface Functionalization of Amorphous SiO2 Nanomaterials.” NanoImpact 5: 6–12. doi:10.1016/j.impact.2016.11.003.
  • Vieira, E. M de A., L. B. da Silva, and E. L. de Souza. 2016. “The Influence of the Workplace Indoor Environmental Quality on the Incidence of Psychological and Physical Symptoms in Intensive Care Units.” Building and Environment 109: 12–24. doi:10.1016/j.buildenv.2016.09.007.
  • Voto, C. B. 2013. Aplicação de Redes Bayesianas na Modelagem de Riscos em Cadeia de Suprimentos: um Estudo de Caso Aplicado à Avaliação de Fornecedores. Rio de Janeiro, Brazil. Pontifícia Universidade Católica.
  • WHO. 2017. WHO Guidelines on Protecting Workers from Potential Risks of Manufactured Nanomaterials. Geneva, Switzerland: WHO. https://www.ncbi.nlm.nih.gov/books/NBK525054/pdf/Bookshelf_NBK525054.pdf
  • Yazdi, M. 2019. “A Review Paper to Examine the Validity of Bayesian Network to Build Rational Consensus in Subjective Probabilistic Failure Analysis.” International Journal of System Assurance Engineering and Management 10 (1): 1–18. doi:10.1007/s13198-018-00757-7.
  • Zalk, D. M., S. Y. Paik, and P. Swuste. 2009. “Evaluating the Control Banding Nanotool: A Qualitative Risk Assessment Method for Controlling Nanoparticle Exposures.” Journal of Nanoparticle Research 11 (7): 1685–1704. doi:10.1007/s11051-009-9678-y.

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