Envisioning Nano Release Dynamics in a Changing World: Using Dynamic Probabilistic Modeling to Assess Future Environmental Emissions of Engineered Nanomaterials

SUN, Tian Yin, Denise M. MITRANO, Nikolaus A. BORNHOFT, Martin SCHERINGER, Konrad HUNGERBUHLER and Bernd NOWACK. Envisioning Nano Release Dynamics in a Changing World: Using Dynamic Probabilistic Modeling to Assess Future Environmental Emissions of Engineered Nanomaterials. ENVIRONMENTAL SCIENCE AND TECHNOLOGY. WASHINGTON: AMER CHEMICAL SOC, 2017, vol. 51, No 5, p. 2854-2863. ISSN 0013-936X. Available from: https://dx.doi.org/10.1021/acs.est.6b05702.

Basic information

• Original name: Envisioning Nano Release Dynamics in a Changing World: Using Dynamic Probabilistic Modeling to Assess Future Environmental Emissions of Engineered Nanomaterials
• Authors: SUN, Tian Yin (756 Switzerland), Denise M. MITRANO (756 Switzerland), Nikolaus A. BORNHOFT (756 Switzerland), Martin SCHERINGER (756 Switzerland, guarantor, belonging to the institution), Konrad HUNGERBUHLER (756 Switzerland) and Bernd NOWACK (756 Switzerland).
• Edition: ENVIRONMENTAL SCIENCE AND TECHNOLOGY, WASHINGTON, AMER CHEMICAL SOC, 2017, 0013-936X.

Other information

• Original language: English
• Type of outcome: Article in a journal
• Field of Study: 10511 Environmental sciences
• Country of publisher: United States of America
• Confidentiality degree: is not subject to a state or trade secret
• WWW: URL
• Impact factor: Impact factor: 6.653
• RIV identification code: RIV/00216224:14310/17:00100132
• Organization unit: Faculty of Science
• Doi: http://dx.doi.org/10.1021/acs.est.6b05702
• UT WoS: 000395963800044
• Keywords in English: FLOW-ANALYSIS; NANOPARTICLES; FATE; SILVER; WATER; RISK; TRANSFORMATIONS; TEXTILES; EXPOSURE; SYSTEMS
• Tags: NZ, rivok
• Tags: International impact, Reviewed

Abstract

The need for an environmental risk assessment for engineered nanomaterials (ENM) necessitates the knowledge about their environmental emissions. Material flow models (MFA) have been used to provide predicted environmental emissions but most current nano-MFA models consider neither the rapid development of ENM production nor the fact that a large proportion of ENM are entering an in use stock and are released from products over time (i.e., have a lag phase). Here we use dynamic probabilistic material flow modeling to predict scenarios of the future flows of four ENM (nano-TiO2, nano-ZnO, nano-Ag and CNT) to environmental compartments and to quantify their amounts in (temporary) sinks such as the in-use stock and ("final") environmental sinks such as soil and sediment. In these scenarios, we estimate likely future amounts if the use and distribution of ENM in products continues along current trends (i.e., a business-as-usual approach) and predict the effect of hypothetical trends in the market development of nanomaterials, such as the emergence of a new widely used product or the ban on certain substances, on the flows of nanomaterials to the environment in years to come. We show that depending on the scenario and the product type affected, significant changes of the flows occur over time, driven by the growth of stocks and delayed release dynamics.

Links

• EF15_003/0000469, research and development project: Name: Cetocoen Plus
• LM2015051, research and development project: Name: Centrum pro výzkum toxických látek v prostředí (Acronym: RECETOX RI)

Investor: Ministry of Education, Youth and Sports of the CR