A Tractable Method for Measuring Nanomaterial Risk Using Bayesian Networks

Nanoscale Research Letters

Volumn 11, Issue 1, 2016, Pages

  Murphy, Finbarr ^a   Sheehan, Barry ^a   Mullins, Martin ^a   Bouwmeester, Hans ^b   Marvin, Hans J P ^b   Bouzembrak, Yamine ^b   Costa, Anna L ^c   Das, Rasel ^d   Stone, Vicki ^e   Tofail, Syed A M ^f  

^a UNIVERSITY OF LIMERICK   (Ireland)

^b WAGENINGEN UNIVERSITY   (Netherlands)

^c CNR   (Italy)

^d UNIVERSITY OF MALAYA   (Malaysia)

^e HERIOT WATT UNIVERSITY   (United Kingdom)

^f UNIVERSITY OF LIMERICK   (Ireland)

Author keywords

Bayesian; Control banding; Risk assessment

Indexed keywords

BAYESIAN NETWORKS; CARBON; HEALTH RISKS; ITERATIVE METHODS; NANOSTRUCTURED MATERIALS; PROBABILITY DISTRIBUTIONS; RISK ASSESSMENT; RISK PERCEPTION; RISKS; YARN;

BAYESIAN; CONTROL BANDING; HIGH QUALITY DATA; HUMAN HEALTH RISKS; PHYSICO-CHEMICAL DATA; QUANTITATIVE RISK; RISK MEASUREMENT; RISK PROBABILITIES;

OCCUPATIONAL RISKS;

EID: 84995916501     PISSN: 19317573     EISSN: 1556276X     Source Type: Journal    
DOI: 10.1186/s11671-016-1724-y     Document Type: Article

References (52)

1. Mullins M, Murphy F, Baublyte L, McAlea EM, Tofail SA (2013) The insurability of nanomaterial production risk. Nat Nanotechnol 8(4):222–224
2. ISO (2011) Nanotechnologies -- Occupational risk management applied to engineered nanomaterials -- Part 2: Use of the control banding approach
3. Savolainen K, Backman U, Brouwer D, Fadeel B, Fernandes T, Kuhlbusch T, et al. (2013). Nanosafety in Europe 2015–2025: towards safe and sustainable nanomaterials and nanotechnology innovations. Finnish Institute of Occupational Health, Helsinki.
4. Bouwmeester H, Lynch I, Marvin HJ, Dawson KA, Berges M, Braguer D et al (2011) Minimal analytical characterization of engineered nanomaterials needed for hazard assessment in biological matrices. Nanotoxicology 5(1):1–11
5. Johnston H, Pojana G, Zuin S, Jacobsen NR, Møller P, Loft S et al (2013) Engineered nanomaterial risk. Lessons learnt from completed nanotoxicology studies: potential solutions to current and future challenges. Crit Rev Toxicol 43(1):1–20
6. Subramanian V, Semenzin E, Hristozov D, den Zondervan-van Beuken E, Linkov I, Marcomini A (2015) Review of decision analytic tools for sustainable nanotechnology. Environment Systems Decisions 35(1):29–41
7. Jensen KA, Saber AT, Kristensen HV, Koponen IK, Liguori B, Wallin H (2013) NanoSafer vs. 1.1-nanomaterial risk assessment using first order modeling, 6th International Symposium on Nanotechnology, Occupational and Environmental Health
8. Bouillard JX, Vignes A (2014) Nano-Evaluris: an inhalation and explosion risk evaluation method for nanoparticle use. Part I: description of the methodology. J Nanopart Res 16(2):1–29
9. Ostiguy C, Riediker M, Triolet J, Troisfontaines P, Vernez D (2010) Development of a specific control banding tool for nanomaterials. Expert committee (CES) on physical agents French Agency for Food, Environmental, and Occupational Health and Safety, Maisons-Alfort Cedex
10. Hristozov DR, Zabeo A, Foran C, Isigonis P, Critto A, Marcomini A et al (2014) A weight of evidence approach for hazard screening of engineered nanomaterials. Nanotoxicology 8(1):72–87
11. Hristozov D, Zabeo A, Jensen KA, Gottardo S, Isigonis P, Maccalman L, et al. (2016) Demonstration of a modelling-based multi criteria decision analysis procedure for prioritization of occupational risks from manufactured nanomaterials. Nanotoxicology. (just-accepted):1–48.
12. Tervonen T, Linkov I, Figueira JR, Steevens J, Chappell M, Merad M (2009) Risk-based classification system of nanomaterials. J Nanopart Res 11(4):757–766
13. Keisler J, Linkov I (2014) Environment models and decisions. Environment Systems Decisions 34(3):369
14. Linkov I, Anklam E, Collier ZA, DiMase D, Renn O (2014) Risk-based standards: integrating top–down and bottom–up approaches. Environment Systems Decisions 34(1):134–137
15. Bates ME, Keisler JM, Zussblatt NP, Plourde KJ, Wender BA, Linkov I (2015). Balancing research and funding using value of information and portfolio tools for nanomaterial risk classification. Nat Nanotechnol 11:198–203
16. US-EPA (2014) Framework for Human Health Risk Assessment to Inform Decision Making
17. NIOSH (2011). Occupational exposure to titanium dioxide. National Institute for Occupational Safety and Health, Cincinnati.
18. NIOSH (2013). Occupational exposure to carbon nanotubes and nanofibers. National Institute for Occupational Safety and Health, Cincinnati.
19. NIOSH (2015). Health effects of occupational exposure to silver nanomaterials. National Institute for Occupational Safety and Health, Cincinnati.
20. Aschberger K, Johnston HJ, Stone V, Aitken RJ, Hankin SM, Peters SA et al (2010) Review of carbon nanotubes toxicity and exposure—appraisal of human health risk assessment based on open literature. Crit Rev Toxicol 40(9):759–790
21. Christensen FM, Johnston HJ, Stone V, Aitken RJ, Hankin S, Peters S et al (2010) Nano-silver–feasibility and challenges for human health risk assessment based on open literature. Nanotoxicology 4(3):284–295
22. Christensen FM, Johnston HJ, Stone V, Aitken RJ, Hankin S, Peters S et al (2011) Nano-TiO2–feasibility and challenges for human health risk assessment based on open literature. Nanotoxicology 5(2):110–124
23. SANOWORK. SANOWORK (Safe Nano Worker Exposure Scenarios) 2015.
24. Bonafede CE, Giudici P (2007) Bayesian networks for enterprise risk assessment. Physica A: Statistical Mechanics Applications 382(1):22–28
25. Nielsen TD, Jensen FV (2007) Bayesian networks and decision graphs. Springer New York, Information Science and Statistics
26. Wright S (1921) Correlation and causation. J Agric Res 20(7):557–585
27. Heckerman D, Mamdani A, Wellman MP (1995) Real-world applications of Bayesian networks. Commun ACM 38(3):24–26
28. Wiegerinck WAJJ, Kappen HJ, ter Braak EWMT, ter Burg WJPP, Nijman MJ, O YL, et al. (1999). Approximate inference for medical diagnosis. Pattern Recognition Letters. 20(11–13):1231–9.
29. Jensen FV, Nielson TD (2007) Bayesian networks and decision graphs. Springer, New York
30. Bouzembrak Y, Marvin HJ (2016) Prediction of food fraud type using data from rapid alert system for food and feed (RASFF) and Bayesian network modelling. Food Control 61:180–187
31. Goulding R, Jayasuriya N, Horan E (2012) A Bayesian network model to assess the public health risk associated with wet weather sewer overflows discharging into waterways. Water Res 16(16):4933–4940
32. Money ES, Reckhow KH, Wiesner MR (2012) The use of Bayesian networks for nanoparticle risk forecasting: model formulation and baseline evaluation. Sci Total Environ 426:436–445
33. Money ES, Barton LE, Dawson J, Reckhow KH, Wiesner MR (2014) Validation and sensitivity of the FINE Bayesian network for forecasting aquatic exposure to nano-silver. Sci Total Environ 473:685–691
34. Low-Kam C, Telesca D, Ji Z, Zhang H, Xia T, Zink JI et al (2015) A Bayesian regression tree approach to identify the effect of nanoparticles’ properties on toxicity profiles. Ann Appl Stat 9(1):383–401
35. Winkler D, Burden F, Yan B, Weissleder R, Tassa C, Shaw S et al (2014) Modelling and predicting the biological effects of nanomaterials. SAR QSAR Environ Res 25(2):161–172
36. Linkov I, Massey O, Keisler J, Rusyn I, Hartung T (2015) From“ weight of evidence” to quantitative data integration using multicriteria decision analysis and Bayesian methods. Alternatives Animal Experimentation: ALTEX 32(1):3–8
37. Wiesner MR, Bottero JY (2011) A risk forecasting process for nanostructured materials, and nanomanufacturing. Comptes Rendus Physique 12(7):659–688
38. Hendren CO, Lowry M, Grieger KD, Money ES, Johnston JM, Wiesner MR et al (2013) Modeling approaches for characterizing and evaluating environmental exposure to engineered nanomaterials in support of risk-based decision making. Environ Sci Technol 47(3):1190–1205
39. Pearl J (2014) Probabilistic reasoning in intelligent systems: networks of plausible inference: Morgan Kaufmann
40. Morgan K (2005) Development of a preliminary framework for informing the risk analysis and risk management of nanoparticles. Risk Anal 25(6):1621–1635
41. Kandlikar M, Ramachandran G, Maynard A, Murdock B, Toscano WA (2007) Health risk assessment for nanoparticles: a case for using expert judgment. J Nanopart Res 9:137–156
42. Bergamaschi E, Murphy F, Poland CA, Mullins M, Costa AL, McAlea E, et al. (2015). Impact and effectiveness of risk mitigation strategies on the insurability of nanomaterial production: evidences from industrial case studies. Wiley Interdiscip Rev Nanomed Nanobiotechnol 7(6):839–85. doi:10.1002/wnan.1340
43. World Health Organization (2013). Agents classified by the IARC monographs. World Health Organization, International Agency for Research on Cancer. http://monographs.iarc.fr/ENG/Classification. Last Accessed 2016.
44. U.S. EPA, (Environmental Protection Agency) (2012). Benchmark Dose Technical Guidance.
45. Sa E (2009) Use of the benchmark dose approach in risk assessment 1 guidance of the scientific committee. EFSA J 1150:1–72
46. Sharifi S, Behzadi S, Laurent S, Forrest ML, Stroeve P, Mahmoudi M (2012) Toxicity of nanomaterials. Chem Soc Rev 41(6):2323–2343
47. Braakhuis HM, Cassee FR, Fokkens PH, de la Fonteyne LJ, Oomen AG, Krystek P, et al. (2015). Identification of the appropriate dose metric for pulmonary inflammation of silver nanoparticles in an inhalation toxicity study. Nanotoxicology 10(1):63–73
48. Simkó M, Nosske D, Kreyling WG (2014) Metrics, dose, and dose concept: the need for a proper dose concept in the risk assessment of nanoparticles. Int J Environ Res Public Health 11(4):4026–4048
49. Laborda F, Bolea E, Cepriá G, Gómez MT, Jiménez MS, Pérez-Arantegui J et al (2016) Detection, characterization and quantification of inorganic engineered nanomaterials: a review of techniques and methodological approaches for the analysis of complex samples. Anal Chim Acta 904:10–32
50. Calabrese EJ, Baldwin LA (2003) Toxicology rethinks its central belief. Nature 421(6924):691–692
51. Savolainen K, Backman U, Brouwer D, Fadeel B, Fernandes T, Kuhlbusch T et al (2013) Nanosafety in Europe 2015–2025: towards safe and sustainable nanomaterials and nanotechnology innovations. Finnish Institute of Occupational Health, Helsinki
52. Linkov I, Bates ME, Canis LJ, Seager TP, Keisler JM (2011) A decision-directed approach for prioritizing research into the impact of nanomaterials on the environment and human health. Nat Nanotechnol 6(12):784–787