2020
DOI: 10.1007/s11367-020-01802-z
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Life cycle impact assessment of microplastics as one component of marine plastic debris

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Cited by 46 publications
(37 citation statements)
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“…Incorporation of marine plastic pollution represents numerous challenges and impacts to the LCA community (Andrady, A. L., 2011; Vince, J. & Hardesty, B. D., 2017) and the first methodological approach to including marine litter of microplastics into LCA is being developed (Saling et al, 2020). In the case of microplastic pollution, only plastic products are responsible for this particular impact, resulting in an inherent tradeoff between plastics and other materials with respect to physical damage to marine systems; therefore, attempts to calculate a payback period for microplastic pollution would be unproductive since there will never be a breakeven point for this impact category, by definition.…”
Section: Discussionmentioning
confidence: 99%
“…Incorporation of marine plastic pollution represents numerous challenges and impacts to the LCA community (Andrady, A. L., 2011; Vince, J. & Hardesty, B. D., 2017) and the first methodological approach to including marine litter of microplastics into LCA is being developed (Saling et al, 2020). In the case of microplastic pollution, only plastic products are responsible for this particular impact, resulting in an inherent tradeoff between plastics and other materials with respect to physical damage to marine systems; therefore, attempts to calculate a payback period for microplastic pollution would be unproductive since there will never be a breakeven point for this impact category, by definition.…”
Section: Discussionmentioning
confidence: 99%
“…However, this would not change our analysis in terms of the relative contribution of the direct impact of microplastics to the impact category of freshwater ecotoxicity. One recent study [20] aimed at creating an entirely new impact category, "Marine Microplastic Potential". In this context, a characterization factor for microplastics was developed, expressed in terms of "pellet equivalents".…”
Section: Discussionmentioning
confidence: 99%
“…The project aims to develop a methodological Life Cycle Impact Assessment (LCIA) framework to characterize the impacts of microplastics into the environment, hence, to characterize the "cause-effect" chain of the release of microplastics into the environment. Within this project, Saling et al [20] developed the first LCA impact assessment method for marine litter, the "Marine Microplastic Potential" (MMP), in units of pellet equivalent points. The authors consider the model behind the MMP method as a starting point for further development of characterization and impact assessment methods relating to marine plastic debris.…”
Section: Introductionmentioning
confidence: 99%
“…Particles that are not emitted to air and are not in the 0-10 μm range are shown as inventory only and no further estimates are done to determine their fate or characterization. For more detailed information on the impacts the larger size fraction of MP might have on ecosystems, the reader is referred to Saling et al, (2020) , and Lavoie et al, (2021) where effect factors have been derived for a mass of MPs or NPs entering the aquatic compartment ( Saling et al, 2020 ). Considering the long residence time of plastic in the environment and the light density of plastic materials, which increases the likelihood of their transport between compartments, it was deemed less likely that plastic sinks are permanent.…”
Section: Emissions Modulementioning
confidence: 99%
“…The impacts expressed in the results consider the remaining mass of the particles as being capable of causing an PM impact. On the other hand, few studies have characterized the damage that losses of plastic might have on ecosystems ( Everaert et al, 2018 ;Lavoie et al, 2021 ;Lechner and Ramler, 2015 ;Redondo-Hasselerharm et al, 2018 ;Saling et al, 2020 ;Woods et al, 2019 ). For the most part, effect studies have been done in the laboratory with often higher concentrations than what is found in nature ( de Sá et al, 2018 ).…”
Section: Impacts Modulementioning
confidence: 99%