• Energy Research

Microplastics are ubiquitous in ecosystems and a lot of research is being performed to understand their environmental fate and effects on organisms. However, the release and impact of MP has so far not been considered in LCA studies. This is due to missing information on the inventory side about microplastic releases and missing Characterization Factors to quantify the effects of MP. The goal of this study was to elucidate the relevance of MP release into freshwaters from an LCA perspective, by using worst-case assumptions. In accordance with the USEtox framework, an interim and simplified Characterization Factor for the impact category of freshwater ecotoxicity was calculated to be 3231 PAF·m3·d·kg−1. Applying this Characterization Factor, two LCA case studies were conducted, one on a polyester T-Shirt and one with a shower gel containing microplastics. The results show a small contribution of microplastics to the freshwater ecotoxicity for a scenario with state-of-the-art wastewater treatment. Different scenarios varying in microplastic release and removal during wastewater treatment and a sensitivity analysis of the Characterization Factor allowed identifying the potential range of the microplastic contribution to the overall ecotoxicity. In conclusion, the inclusion of microplastic release into LCA only marginally influences the overall environmental effects of the two products in the LCA case studies.

Microplastics are ubiquitous in ecosystems and a lot of research is being performed to understand their environmental fate and effects on organisms. However, the release and impact of MP has so far not been considered in LCA studies. This is due to missing information on the inventory side about microplastic releases and missing Characterization Factors to quantify the effects of MP. The goal of this study was to elucidate the relevance of MP release into freshwaters from an LCA perspective, by using worst-case assumptions. In accordance with the USEtox framework, an interim and simplified Characterization Factor for the impact category of freshwater ecotoxicity was calculated to be 3231 PAF·m3·d·kg−1. Applying this Characterization Factor, two LCA case studies were conducted, one on a polyester T-Shirt and one with a shower gel containing microplastics. The results show a small contribution of microplastics to the freshwater ecotoxicity for a scenario with state-of-the-art wastewater treatment. Different scenarios varying in microplastic release and removal during wastewater treatment and a sensitivity analysis of the Characterization Factor allowed identifying the potential range of the microplastic contribution to the overall ecotoxicity. In conclusion, the inclusion of microplastic release into LCA only marginally influences the overall environmental effects of the two products in the LCA case studies.

Industry and scientists develop new nanomaterials and nano-enabled products to make use of the specific properties that the nanoscale can bring. However, the benefit of a nano-enabled product over a conventional product is not always a given. This paper describes our development of a Benefit Assessment Matrix (BAM) that focuses on the functional, health and environmental benefits of nanomaterials, nano-enabled manufacturing and nano-enabled products. The BAM is an Excel spreadsheet-based tool to help researchers and small and medium-sized enterprises assess these potential benefits throughout their product’s life cycle while they are still in the early phase of the innovation process. Benefit indicators were developed based on a review of the literature on the life cycles and intrinsic properties of nanomaterials, nano-enabled manufacturing and nano-enabled products. Assessing the benefits of a nano-enabled product involves a comparative approach, contrasting them against the benefits of a conventional reference product. To help users understand the reliability of the benefits, the BAM identifies the evidence of the benefit claimed. The BAM provides a different action plan for each phase of the stage–gate product innovation process. The tool’s applications and potential are presented using three case studies, focusing at different phases of the innovation process: nano-clays used in internal automobile body-panels, nano-TiO2 used in outdoor facade coatings and nano-Ag used in T-shirts. Using these cases studied, we highlight how the results from the BAM can be used to give recommendations for moving towards the concept of safe and sustainable by design in nanotechnology development.

Industry and scientists develop new nanomaterials and nano-enabled products to make use of the specific properties that the nanoscale can bring. However, the benefit of a nano-enabled product over a conventional product is not always a given. This paper describes our development of a Benefit Assessment Matrix (BAM) that focuses on the functional, health and environmental benefits of nanomaterials, nano-enabled manufacturing and nano-enabled products. The BAM is an Excel spreadsheet-based tool to help researchers and small and medium-sized enterprises assess these potential benefits throughout their product’s life cycle while they are still in the early phase of the innovation process. Benefit indicators were developed based on a review of the literature on the life cycles and intrinsic properties of nanomaterials, nano-enabled manufacturing and nano-enabled products. Assessing the benefits of a nano-enabled product involves a comparative approach, contrasting them against the benefits of a conventional reference product. To help users understand the reliability of the benefits, the BAM identifies the evidence of the benefit claimed. The BAM provides a different action plan for each phase of the stage–gate product innovation process. The tool’s applications and potential are presented using three case studies, focusing at different phases of the innovation process: nano-clays used in internal automobile body-panels, nano-TiO2 used in outdoor facade coatings and nano-Ag used in T-shirts. Using these cases studied, we highlight how the results from the BAM can be used to give recommendations for moving towards the concept of safe and sustainable by design in nanotechnology development.

With the COVID-19 pandemic, wearing facemasks became common. Many initiatives arose to develop new types of reusable textile masks in order to overcome a shortage of surgical masks for the health care personnel and for the civil society. Having such high demand of facemasks raises the question about what factors define their environmental sustainability. This paper presents a first simplified Life-Cycle-Assessment (LCA) comparing surgical masks and 2-layered cotton masks. The aim of the paper is to identify and understand the relevant ecological factors in order to support decision making on how textile masks could be designed in a more sustainable manner. The results of our simplified LCA show that the cotton masks were performing better than the surgical masks and vice versa depending on the environmental impact that was looked at. It was also found that the lifespan and the weight of the cotton masks are two variables having a great importance for their overall environmental performance.

With the COVID-19 pandemic, wearing facemasks became common. Many initiatives arose to develop new types of reusable textile masks in order to overcome a shortage of surgical masks for the health care personnel and for the civil society. Having such high demand of facemasks raises the question about what factors define their environmental sustainability. This paper presents a first simplified Life-Cycle-Assessment (LCA) comparing surgical masks and 2-layered cotton masks. The aim of the paper is to identify and understand the relevant ecological factors in order to support decision making on how textile masks could be designed in a more sustainable manner. The results of our simplified LCA show that the cotton masks were performing better than the surgical masks and vice versa depending on the environmental impact that was looked at. It was also found that the lifespan and the weight of the cotton masks are two variables having a great importance for their overall environmental performance.

Artificial intelligence gained a surge in popularity through the release of conversational artificial intelligence tools, which enable individuals to use the technology without any prior knowledge or expertise in computational science. Researchers, content writers, as well as curious minds may use these tools to investigate any topics in question. Environmental topics, as one of the current public concerns, are covered by many different kinds of media, indicating a broad public interest. To assess the possibility of using these tools in environmental-related content writing or research, we tested the capabilities of conversational artificial intelligence tools on selected environmental topics. In particular, we tested different tools (ChatGPT, Microsoft Bing, Google Bard) and different languages (English, Spanish, Korean, German, Turkish and Chinese) via using selected questions and compared the answers with each other. Our results suggest that conversational artificial intelligence tools may provide satisfactory and comprehensive answers; however, we found some of the statements debatable and texts still need to be reviewed by an expert. Selected tools may offer specific advantages, such as providing references, although certain issues may need to be checked for each tool. The usage of different languages may provide additional points within the content; however, this does not necessarily imply that these new facets arise solely from utilizing different languages, since new aspects may also be attributed to the ‘randomness of the generated answers’. We suggest asking the same question several times as the tools mostly generate random answers each time, especially for ChatGPT, to obtain a more comprehensive content.