MESOCOSM: A mesocosm database management system for environmental nanosafety

NanoImpact - Tập 21 - Trang 100288 - 2021
Ali Ayadi1, Jérôme Rose1,2, Camille de Garidel-Thoron1, Christine Hendren2, Mark R. Wiesner2, Mélanie Auffan1,2
1CEREGE, CNRS, Aix Marseille Univ, IRD, INRAE, Coll France, Aix-en-Provence, France
2Duke University, Civil and Environmental Engineering, Durham, USA

Tài liệu tham khảo

Adamick, 2020 Adey, 2008, Greenhouses, microcosms, and mesocosms, Ecosyst. Ecol., 281 Auffan, 2014, An adaptable mesocosm platform for performing integrated assessments of nanomaterial risk in complex environmental systems, Sci. Rep., 4, 5608, 10.1038/srep05608 Auffan, 2018, Environmental exposure of a simulated pond ecosystem to a cuo nanoparticle-based wood stain throughout its life cycle, Environ. Sci. Nano, 5, 2579, 10.1039/C8EN00712H Auffan, 2019, Contribution of mesocosm testing to a single-step and exposure-driven environmental risk assessment of engineered nanomaterials, NanoImpact, 13, 66, 10.1016/j.impact.2018.12.005 Ayadi, 2020, Ontology-based nlp information extraction to enrich nanomaterial environmental exposure database, Procedia Comp. Sci., 176, 360, 10.1016/j.procs.2020.08.037 Biomax Informatics, 2018 Bizer, 2011, Linked data: The story so far, 205 Bottero, 2017, Serenade: safer and ecodesign research and education applied to nanomaterial development, the new generation of materials safer by design, Environ. Sci. Nano, 4, 526, 10.1039/C6EN00282J Brack, 2012, The Norman network and its activities on emerging environmental substances with a focus on effect-directed analysis of complex environmental contamination, Environ. Sci. Eur., 24, 29, 10.1186/2190-4715-24-29 Ecetoc.org Elonen, 2020 Fernández-Cruz, 2018, Quality evaluation of human and environmental toxicity studies performed with nanomaterials–the guidenano approach, Environ. Sci. Nano, 5, 381, 10.1039/C7EN00716G Goker, 2009 Hansen, 2014, Nanoriskcat: a conceptual tool for categorization and communication of exposure potentials and hazards of nanomaterials in consumer products, J. Nanopart. Res., 16, 2195, 10.1007/s11051-013-2195-z Harper, 2020 Hendren, 2015, A functional assay-based strategy for nanomaterial risk forecasting, Sci. Total Environ., 536, 1029, 10.1016/j.scitotenv.2015.06.100 Jeliazkova, 2015, The enanomapper database for nanomaterial safety information, Beilstein J. Nanotechnol., 6, 1609, 10.3762/bjnano.6.165 Jeroen Herczeg Joossens, 2019, A high throughput imaging database of toxicological effects of nanomaterials tested on heparg cells, Sci. Data, 6, 1, 10.1038/s41597-019-0053-2 Juganson, 2015, Nanoe-tox: new and in-depth database concerning ecotoxicity of nanomaterials, Beilstein J. Nanotechnol., 6, 1788, 10.3762/bjnano.6.183 Kangas, 2020 Karcher, 2018, Integration among databases and data sets to support productive nanotechnology: challenges and recommendations, NanoImpact, 9, 85, 10.1016/j.impact.2017.11.002 Kimball, 1985, Limitations of laboratory bioassays: the need for ecosystem-level testing, Bioscience, 35, 165, 10.2307/1309866 Kong, 2013, Nanominer—integrative human transcriptomics data resource for nanoparticle research, PLoS One, 8, 10.1371/journal.pone.0068414 Kraegeloh, 2018, Implementation of safe-by-design for nanomaterial development and safe innovation: why we need a comprehensive approach, Nanomaterials, 8, 239, 10.3390/nano8040239 Krug, 2018, The dana2. 0 knowledge base nanomaterials—an important measure accompanying nanomaterials development, Nanomaterials, 8, 204, 10.3390/nano8040204 Maimon, 2009, Nhecd-nano health and environmental commented database, 1221 Marie, 2014, Transfer, transformation, and impacts of ceria nanomaterials in aquatic mesocosms simulating a pond ecosystem, Environ. Sci. Technol., 48, 9004, 10.1021/es501641b Marquardt, 2013, Latest research results on the effects of nanomaterials on humans and the environment: Dana–knowledge base nanomaterials, J. Phys. Conf. Ser., 429, 012060, 10.1088/1742-6596/429/1/012060 Miller, 2007, The nanoparticle information library (nil): a prototype for linking and sharing emerging data, J. Occup. Environ. Hyg., 4, D131, 10.1080/15459620701683947 Mills, 2014, Nanomaterial registry: database that captures the minimal information about nanomaterial physico-chemical characteristics, J. Nanopart. Res., 16, 2219, 10.1007/s11051-013-2219-8 Modnanoto.org Morris, 2014, cananolab: A nanomaterial data repository for biomedical research, 29 Nanodatabank.org NanoExPERTdb.org Nanohub.org Nanotox.org nanowerk.com Nassar, 2020, Multivariate analysis of the exposure and hazard of ceria nanomaterials in indoor aquatic mesocosms, Environ. Sci. Nano., 7, 1661, 10.1039/C9EN01439J Niosh.org Ntp.org Oprisiu, 2013, Modeling of non-additive mixture properties using the online chemical database and modeling environment (ochem), J. Cheminformatics, 5, 1, 10.1186/1758-2946-5-4 Pelzer, 2013, Structure and functionality of the nano exposure and contextual information database (necid), Gefahrstoffe Reinhaltung Der Luft, 73, 302 Pommier, 2019, Applying fair principles to plant phenotypic data management in gnpis, Plant Phenomics, 2019, 1671403, 10.34133/2019/1671403 Reznik-Zellen, 2008, Internano: e-science for the nanomanufacturing community, 382 Richarz, 2017, Compilation of data and modelling of nanoparticle interactions and toxicity in the nanopuzzles project, 303 Robinson, 2015, An Isa-tab-nano based data collection framework to support data-driven modelling of nanotoxicology, Beilstein J. Nanotechnol., 6, 1978, 10.3762/bjnano.6.202 S. Project Sushko, 2011, Online chemical modeling environment (ochem): web platform for data storage, model development and publishing of chemical information, J. Comput. Aided Mol. Des., 25, 533, 10.1007/s10822-011-9440-2 Tella, 2015, Chronic dosing of a simulated pond ecosystem in indoor aquatic mesocosms: fate and transport of ceo 2 nanoparticles, Environ. Sci. Nano, 2, 653, 10.1039/C5EN00092K Valsami-Jones, 2016, Nanomaterial ontologies for nanosafety: a rose by any other name…, J. Nanomed. Res., 3, 10.15406/jnmr.2016.03.00070 Vriens, 2017, Case study iii: The construction of a nanotoxicity database–the mod-enp-tox experience, 325 Wexler, 2001, Toxnet: an evolving web resource for toxicology and environmental health information, Toxicology, 157, 3, 10.1016/S0300-483X(00)00337-1 Wilkinson, 2016, The fair guiding principles for scientific data management and stewardship, Sci. Data, 3, 1, 10.1038/sdata.2016.18 Youtie, 2011, The use of environmental, health and safety research in nanotechnology research, J. Nanosci. Nanotechnol., 11, 158, 10.1166/jnn.2011.3840 Zabeo, 2019, Value of information analysis for assessing risks and benefits of nanotechnology innovation, Environ. Sci. Eur., 31, 11, 10.1186/s12302-019-0194-0