ArticleEnvironmental science & technology2022
Prospective Dynamic and Probabilistic Material Flow Analysis of Graphene-Based Materials in Europe from 2004 to 2030.
Article in Environmental science & technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 23 citations in OpenAlex.
- Biological Responses to Combined Nanoparticles: Uptake, Distribution and Toxicity.Nanomaterials (Basel, Switzerland) · 2026Review
- Graphene nanomaterials and copper co-exposure in Populus nigra L.: ultrastructural, biochemical, and nutritional impact under in vitro conditions.BMC plant biology · 2026Article
- Form-Specific Prospective Environmental Risk Assessment of Graphene-Based Materials in European Freshwater.Environmental science & technology · 2024Article
- Joint Toxicity and Interaction of Carbon-Based Nanomaterials with Co-Existing Pollutants in Aquatic Environments: A Review.International journal of molecular sciences · 2024Review
- Graphene-supported organoiridium clusters catalyzeRSC advances · 2024Article
- Carbon footprint of non-melanoma skin cancer surgery.BJS open · 2024Article
- Environmental and Health Impacts of Graphene and Other Two-Dimensional Materials: A Graphene Flagship Perspective.ACS nano · 2024Review
- Toxicity and Biotransformation of Carbon-Based Nanomaterials in Marine MicroalgaeInternational journal of molecular sciences · 2023Article
- Recycling of both resin and fibre from wind turbine blade waste via small molecule-assisted dissolution.Scientific reports · 2023Article
- Prospective Dynamic and Probabilistic Material Flow Analysis of Graphene-Based Materials in Europe from 2004 to 2030.Environmental science & technology · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As industrial demand for graphene-based materials (GBMs) grows, more attention falls on potential environmental risks. The present article describes a first assessment of the environmental releases of GBMs using dynamic probabilistic material flow analysis. The model considered all current or expected uses of GBMs from 2004 to 2030, during which time there have already been significant changes in how the graphene mass produced is distributed to different product categories. Although the volume of GBM production is expected to grow exponentially in the coming years, outflow from the consumption of products containing GBMs shows only a slightly positive trend due to their long lifetimes and the large in-use stock of some applications (e.g., GBM composites used in wind turbine blades). From consumption and end-of-life phase GBM mass flows in 2030, estimates suggest that more than 50% will be incinerated and oxidized in waste plants, 16% will be landfilled, 12% will be exported out of Europe, and 1.4% of the annual production will flow to the environment. Predicted release concentrations for 2030 are 1.4 ng/L in surface water and 20 μg/kg in sludge-treated soil. This study's results could be used for prospective environmental risk assessments and as input for environmental fate models.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.