Project description
Revealing the toxicity evolution mechanism of nanoplastics in living organisms
Nanoplastics (NPLs), present in water, air, soil and food are a growing environmental and health concern. Their miniscule particles can be absorbed by cells, yet the precise mechanisms of toxicity in living organisms are not well understood. Supported by the Marie Skłodowska-Curie Actions programme, the CFENPLs project aims to develop a portable electrochemical sensing platform integrated with single-cell analytical techniques that can accurately monitor the concentration of NPLs absorbed by a single cell and identify the type of concentration based on the release of toxicological markers from cellular damage. Meanwhile, machine learning will provide a hierarchical assessment of the mechanism of toxicity evolution of NPLs in individual cells. This will help to predict potential risks and early warning for toxicity.
Objective
Nanoplastics (NPLs) are one of the most hazardous emerging environmental pollutants. We nevertheless still have a limited understanding of the precise toxicological mechanisms in living organisms. Herein, we propose a miniaturized electrochemical sensing platform combined with single-cell techniques to simultaneously and dynamically monitor the concentration of NPLs ingested by a single cell that is actually causing adverse effect and the release of toxicological markers (such as H2O2, H2S or specific DNA/RNA) from cellular damage. The implementation of this project is based on the innovation of the preparation technology of carbon-based microelectrodes functionalized with alkyl chain monolayer and recognition sites, which for the first time will be simultaneously integrated with single-cell analytical techniques for environmental risk assessment. Investigating the toxicology of NPLs at the single-cell level can avoid obtaining only the average expression of a population of cells and ignoring intracellular heterogeneity. Meanwhile, the toxicological concentration of NPLs and the type and concentration of toxicological markers will be efficiently matched, screened and quantified using machine learning, which can provide a phased and hierarchical understanding of the mechanism of toxicity evolution of NPLs in individual cells, and thus provide accurate references for the prediction of and early warning on the toxic effects of NPLs on living organisms. The development of this interdisciplinary technique is expected to not only broaden the understanding of the hazards of NPLs and reveal the evolutionary process of toxicity caused by NPLs, but will also provide an analytical platform for toxicological assessment of other types of pollutants. Moreover, it is promising to promote the commercialization of a portable device for the rapid detection of NPLs in water samples, which will provide a powerful tool for environmental protection and household water quality monitoring.
                                Fields of science (EuroSciVoc)
                                                                                                            
                                            
                                            
                                                CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See:   The European Science Vocabulary.
                                                
                                            
                                        
                                                                                                
                            CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences biological sciences genetics DNA
- natural sciences biological sciences genetics RNA
- medical and health sciences basic medicine toxicology
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                                        Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
                                        
                                    
                                
                            
                            
                        Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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                  HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
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                  Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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(opens in new window) HORIZON-MSCA-2023-PF-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
2311 EZ Leiden
Netherlands
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