2017
DOI: 10.1038/nnano.2017.135
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Setting the stage for debating the roles of risk assessment and life-cycle assessment of engineered nanomaterials

Abstract: Although technological and environmental benefits are important stimuli for nanotechnology development, these technologies have been contested from an environmental point of view. The steady growth of applications of engineered nanomaterials has heated up the debate on quantifying the environmental repercussions. The two main scientific methods to address these environmental repercussions are risk assessment and life-cycle assessment. The strengths and weaknesses of each of these methods, and the relation betw… Show more

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Cited by 87 publications
(40 citation statements)
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“…• The focus of LCA on a functional unit means that the assessment of impacts must be aligned with an emitter or producer perspective (Fantke and Ernstoff 2018;Guin ee et al 2017). • In following the emitter perspective, ecotoxicity factors depend on substance emissions obtained from the inventory analysis phase of LCA.…”
Section: General Assessment Frameworkmentioning
confidence: 99%
“…• The focus of LCA on a functional unit means that the assessment of impacts must be aligned with an emitter or producer perspective (Fantke and Ernstoff 2018;Guin ee et al 2017). • In following the emitter perspective, ecotoxicity factors depend on substance emissions obtained from the inventory analysis phase of LCA.…”
Section: General Assessment Frameworkmentioning
confidence: 99%
“…To address the environmental concerns related to nanomaterials and nano‐based technologies development, a holistic evaluation of their environmental performance over the entire nanoproduct's life cycle needs to be performed. Life cycle assessment (LCA) has been suggested to be the key tool in such comprehensive assessments for nanotechnologies (Bauer et al., ; Franklin, ; Guineé, Heijungs, Vijver, & Peijnenburg, ; Klöpffer et al., ). The nanowire‐based solar cell technology assessed in this study is an emerging technology, which is under development at the lab scale.…”
Section: Introductionmentioning
confidence: 99%
“…Selecting single models and approaches for specific questions may be a bridge too far. All models rely on strong assumption and constraints, and as LCA outcomes are largely unverifiable (Guineé et al 2017; Yang and Heijungs 2018), claiming certain LCA modes or models to be superior cannot be supported by evidence, and this battle between schools is thus a dead-end in our view.…”
Section: Discussionmentioning
confidence: 99%