Integrated dynamic probabilistic material flow analysis of engineered materials in all European countries

Adam, Véronique; Wu, Qie; Nowack, Bernd

doi:10.1016/j.impact.2021.100312

Cited by 18 publications

(22 citation statements)

References 48 publications

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“…The combination of qualitative and quantitative indicators to evaluate the technical feasibility, economic viability, and environmental benefits of potential resource exchanges are proposed by Kosmol et al [20]. The key performance quantitative indicator system set up by Lutjie and Wolgemuth [30] consists of four subsystems including economic, environmental, and social indicators, and a general indicator system considering IS structure, activity, knowledge transfer, resilience, and adaptability issues.…”

Section: Literature Overviewmentioning

confidence: 99%

“…LCA is also a widely accepted technique to assess environmental impacts associated with all the stages of a product's life, from raw material extraction through to materials processing, manufacture, distribution, use, and end-of-life [32]. Previous research confirms that both methods are mostly applied in CE and IS contexts to unveil circular and symbiotic opportunities and analyze the state of industrial networks [28,30,33].…”

Section: Indicator Selectionmentioning

confidence: 99%

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Estimating the Circularity Performance of an Emerging Industrial Symbiosis Network: The Case of Recycled Plastic Fibers in Reinforced Concrete

Marinelli

Butturi²,

Rimini

et al. 2021

Sustainability

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In recent times, the construction industry has been handling circular economy strategies in order to face the most important challenges in the sector, namely the lack of raw materials and the environmental impacts derived from all the processes linked to the entire supply chain. The industrial symbiosis approach represents an effective strategy to improve the circularity of the construction industry. This study analyses the circularity performance of an emerging industrial symbiosis network derived from the production of a cement mortar reinforced with recycled synthetic fibers coming from artificial turf carpets. From the collection of artificial turf carpets at the end-of-life stage it is possible to recover several materials, leading to potential unusual interactions between industries belonging to different sectors. A suitable indicator, retrieved from the literature, the Industrial Symbiosis Indicator (ISI), has been used to estimate the level of industrial symbiosis associated with increasing materials recirculation inside the network. Four scenarios—ranging from perfect linearity to perfect circularity—representing growing circularity were tested. Findings demonstrate that the development of an effective industrial symbiosis network can contribute to improving the circular approach within the construction sector, reducing environmental and economic pressures.

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Section: Literature Overviewmentioning

confidence: 99%

Section: Indicator Selectionmentioning

confidence: 99%

Estimating the Circularity Performance of an Emerging Industrial Symbiosis Network: The Case of Recycled Plastic Fibers in Reinforced Concrete

Marinelli

Butturi²,

Rimini

et al. 2021

Sustainability

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“…The aim of the present study was to characterize the environmental risk of three ENMs (nano-Ag, nano-TiO 2 and nano-ZnO) to the freshwater compartment in Europe considering the different forms of the released ENMs. The predicted environmental concentration (PEC-values) of the different forms (pristine, dissolved, transformed and matrix-embedded) were taken from Adam et al (2018) and (Adam et al, 2021).…”

Section: Accepted Articlementioning

confidence: 99%

“…Because the current study aims to determine the risk induced by the ENMs and not by matrix, only the protruding ENM are targeted in the exposure assessment. Adam et al (2018) and (Adam et al, 2021) only provide data for the complete mass of the matrix-embedded ENM. For that reason, the mass flows for matrix-embedded ENMs provided by Adam et al (2018) and (Adam et al, 2021) were multiplied by a conversion factor to obtain the mass of surface protruding-ENM.…”

Section: Exposure Assessmentmentioning

confidence: 99%

“…Adam et al (2018) and (Adam et al, 2021) only provide data for the complete mass of the matrix-embedded ENM. For that reason, the mass flows for matrix-embedded ENMs provided by Adam et al (2018) and (Adam et al, 2021) were multiplied by a conversion factor to obtain the mass of surface protruding-ENM. This conversion factor was determined on the basis of an empirical study by Schlagenhauf et al (2015) who quantified that the fraction of surface-protruding CNT on the surface of released particles after abrasion from a polymer-nanocomposite is 0.004.…”

Section: Exposure Assessmentmentioning

confidence: 99%

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Form‐Specific and Probabilistic Environmental Risk Assessment of 3 Engineered Nanomaterials (Nano‐Ag, Nano‐TiO₂, and Nano‐ZnO) in European Freshwaters

Hong

Adam

Nowack

2021

Enviro Toxic and Chemistry

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The release of engineered nanomaterials (ENM) to the environment necessitates an assessment of their environmental risks. The currently available environmental risk assessments for ENM are based on an analysis of the total flows of a specific ENM to the environment and on ecotoxicity studies performed with pristine ENM. ENM are known to undergo transformation during product use, release and in technical systems such as wastewater treatment. The aim of this work was therefore to perform an environmental risk assessment of three ENM (nano-Ag, nano-TiO 2 and nano-ZnO) based on a form-specific release model and a form-specific analysis of ecotoxicological data. Predicted environmental concentrations (PEC values) were derived using a form-specific material flow model. Species sensitivity distributions were used to derive predicted no effect concentrations (PNEC) for the pristine ENM and for dissolved and transformed Ag and ZnO. For all ENM, the matrix-embedded This article is protected by copyright. All rights reserved. Accepted Articleform was included in the assessment. A probabilistic assessment was applied, yielding final probability distributions for the risk characterization ratio (RCR). For nano-Ag, the form-specific assessment resulted in a decrease of the mean RCR from 0.061 for the approach neglecting the different release forms to 0.034 due to the much lower PNEC of transformed Ag. Likewise, for nano-ZnO, the form-specific approach reduced the mean RCR from 1.2 to 0.86. For nano-TiO 2 , the form-specific assessment did not change the mean RCR of 0.026. This analysis shows that a form-specific approach can have an influence on the assessment of the environmental risks of ENM and given the availability of form-specific release models, an updated environmental risk assessment for ENM can be performed.

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Meta‐analysis of Bioaccumulation Data for Nondissolvable Engineered Nanomaterials in Freshwater Aquatic Organisms

Zheng

Nowack

2022

Enviro Toxic and Chemistry

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Understanding the bioaccumulation of engineered nanomaterials (ENMs) is essential for making regulatory decisions on potential environmental risks. Research in the field of ENM bioaccumulation has increased in recent years, but the compilation and statistical analysis of the available experimental data have not been updated. We therefore performed a meta-analysis of the existing literature on the bioaccumulation of eight types of nondissolvable ENMs (titanium dioxide [TiO 2 ], aluminum oxide [Al 2 O 3 ], gold [Au], fullerene [C 60 ], carbon nanotubes, iron oxide [FeO x ], graphene, and polystyrene) in nonmammalian freshwater aquatic organisms across three trophic levels including phytoplankton, zooplankton, and fish. Three typical endpoints were used to assess the bioaccumulation potential: the bioconcentration factor (BCF), the bioaccumulation factor (BAF), and the biomagnification factor (BMF). Our results suggest that zooplankton has greater mean logarithmic BCF and BAF values than phytoplankton (3.31 vs. 1.42) and fish (2.04). The ENMs are biomagnified in zooplankton, with a mean BMF of 17.4, whereas trophic transfer from primary consumers (zooplankton) to secondary consumers (fish) was not observed (mean BMF of 0.13). No clear dependency was identified between the physicochemical characteristics of ENMs (e.g., primary particle size, zeta potential, or shape) and bioaccumulation, except for coated versus uncoated particles accumulated in phytoplankton. Carbonaceous ENMs were found to be more bioaccumulated than the other ENMs we considered, except for TiO 2 . A meta-analysis of bioaccumulation data can (1) deepen the understanding of bioconcentration, bioaccumulation, and biomagnification of ENMs, (2) be used to support grouping strategies as a basis for a safer-by-design approach for ENMs, (3) be integrated into comprehensive hazard and risk assessments, (4) promote the standardization of testing guidelines, and (5) enhance future kinetic bioaccumulation modeling.

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Integrated dynamic probabilistic material flow analysis of engineered materials in all European countries

Cited by 18 publications

References 48 publications

Estimating the Circularity Performance of an Emerging Industrial Symbiosis Network: The Case of Recycled Plastic Fibers in Reinforced Concrete

Estimating the Circularity Performance of an Emerging Industrial Symbiosis Network: The Case of Recycled Plastic Fibers in Reinforced Concrete

Form‐Specific and Probabilistic Environmental Risk Assessment of 3 Engineered Nanomaterials (Nano‐Ag, Nano‐TiO₂, and Nano‐ZnO) in European Freshwaters

Meta‐analysis of Bioaccumulation Data for Nondissolvable Engineered Nanomaterials in Freshwater Aquatic Organisms

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Integrated dynamic probabilistic material flow analysis of engineered materials in all European countries

Cited by 18 publications

References 48 publications

Estimating the Circularity Performance of an Emerging Industrial Symbiosis Network: The Case of Recycled Plastic Fibers in Reinforced Concrete

Estimating the Circularity Performance of an Emerging Industrial Symbiosis Network: The Case of Recycled Plastic Fibers in Reinforced Concrete

Form‐Specific and Probabilistic Environmental Risk Assessment of 3 Engineered Nanomaterials (Nano‐Ag, Nano‐TiO2, and Nano‐ZnO) in European Freshwaters

Meta‐analysis of Bioaccumulation Data for Nondissolvable Engineered Nanomaterials in Freshwater Aquatic Organisms

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Product

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Form‐Specific and Probabilistic Environmental Risk Assessment of 3 Engineered Nanomaterials (Nano‐Ag, Nano‐TiO₂, and Nano‐ZnO) in European Freshwaters