38 research outputs found

    Comparative Impact of SiO2 and TiO2 Nanofillers on the Performance of Thin Film Nanocomposite Membranes

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    Nanoparticle (NP) additions can substantially improve the performance of reverse osmosis and nanofiltration polyamide (PA) membranes. However, the relative impacts of leading additives are poorly understood. In this study, we compare the effects of TiO2 and SiO2 NPs as nanofillers in PA membranes with respect to permeate flux and the rejection of organic matter (OM) and salts. Thin‐film nanocomposite (TFN) PA membranes were fabricated using similarly sized TiO2 15 nm and SiO2 (10 – 20 nm) NPs, introduced at four different NP concentrations (0.01, 0.05, 0.2, and 0.5% w/v). Compared with PA membranes fabricated without NPs, membranes fabricated with nanofillers improved membranes hydrophilicity, membrane porosity, and consequently the permeability. Permeability was increased by 24 and 58% with the addition of TiO2 and SiO2, respectively. Rejection performance and fouling behavior of the membranes were examined with salt (MgSO4 and NaCl) and OM (humic acid [HA] and tannic acid [TA]). The addition of TiO2 and SiO2 nanofillers to the PA membranes improved the permeability of these membranes and also increased the rejection of MgSO4, especially for TiO2 membranes. The addition of TiO2 and SiO2 to the membranes exhibited a higher flux and lower flux decline ratio than the control membrane in OM solution filtration. TFN membranes\u27 HA and TA rejections were at least 77 and 71%, respectively. The surface change properties of NPs appear to play a dominant role in determining their effects as nanofillers in the composite membrane matrix through a balance of changes produced in membrane pore size and membrane hydrophilicity

    The role of FAIR nanosafety data and nanoinformatics in achieving the UN sustainable development goals: the NanoCommons experience†

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    The increasing focus on open and FAIR (Findable, Accessible, Interoperable and Re-useable) data is driving a step-change in how research communities and governments think about data and knowledge, and the potential for re-use of data. It has long been recognised that international data sharing is essential for regulatory harmonisation and commercialisation, via the Mutual Acceptance of Data (MAD) principle of the Organisation for Economic Cooperation and Development (OECD) for example. However, it is interesting to note that despite the power of data and data-driven software to support the achievement of the United Nations Sustainable Development Goals (UN SDGs), there appears to be limited awareness of how nanomaterials environmental health and safety (nano EHS) data can drive progress towards many of the SDGs. The goal of the NanoCommons research infrastructure project was to increase FAIRness and impact of nanoEHS data through development of services, including data shepherding to support researchers across the data life cycle and tools such as user-friendly nanoinformatics predictive models. We surveyed both service providers and service users on their ideas regarding how nanoEHS data might support the SDGs, and discovered a significant lack of awareness of the SDGs in general, and the potential for impact from NanoCommons tools and services. To address this gap, a workshop on the SDGs was prepared and delivered to support the NanoCommons service providers to understand the SDGs and how nanosafety data and nanoinformatics can support their achievement. Following the workshop, providers were invited to update their questionnaire responses. The results from the workshop discussions are presented, along with a summary of the 12 SDGs identified where increasingly accessible nanoEHS data will have a significant impact, and the 5 that are indirectly benefited along with some recommendations for EU-funded projects on how they can maximise and monitor their contributions to the SDGs

    Metadata stewardship in nanosafety research: learning from the past, preparing for an "on-the-fly" FAIR future

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    Introduction: Significant progress has been made in terms of best practice in research data management for nanosafety. Some of the underlying approaches to date are, however, overly focussed on the needs of specific research projects or aligned to a single data repository, and this “silo” approach is hampering their general adoption by the broader research community and individual labs. Methods: State-of-the-art data/knowledge collection, curation management FAIRification, and sharing solutions applied in the nanosafety field are reviewed focusing on unique features, which should be generalised and integrated into a functional FAIRification ecosystem that addresses the needs of both data generators and data (re)users. Results: The development of data capture templates has focussed on standardised single-endpoint Test Guidelines, which does not reflect the complexity of real laboratory processes, where multiple assays are interlinked into an overall study, and where non-standardised assays are developed to address novel research questions and probe mechanistic processes to generate the basis for read-across from one nanomaterial to another. By focussing on the needs of data providers and data users, we identify how existing tools and approaches can be re-framed to enable “on-the-fly” (meta) data definition, data capture, curation and FAIRification, that are sufficiently flexible to address the complexity in nanosafety research, yet harmonised enough to facilitate integration of datasets from different sources generated for different research purposes. By mapping the available tools for nanomaterials safety research (including nanomaterials characterisation, non-standard (mechanistic-focussed) methods, measurement principles and experimental setup, environmental fate and requirements from new research foci such as safe and sustainable by design), a strategy for integration and bridging between silos is presented. The NanoCommons KnowledgeBase has shown how data from different sources can be integrated into a one-stop shop for searching, browsing and accessing data (without copying), and thus how to break the boundaries between data silos. Discussion: The next steps are to generalise the approach by defining a process to build consensus (meta)data standards, develop solutions to make (meta)data more machine actionable (on the fly ontology development) and establish a distributed FAIR data ecosystem maintained by the community beyond specific projects. Since other multidisciplinary domains might also struggle with data silofication, the learnings presented here may be transferable to facilitate data sharing within other communities and support harmonization of approaches across disciplines to prepare the ground for cross-domain interoperability. Visit WorldFAIR online at http://worldfair-project.eu. WorldFAIR is funded by the EC HORIZON-WIDERA-2021-ERA-01-41 Coordination and Support Action under Grant Agreement No. 101058393

    Metadata stewardship in nanosafety research: learning from the past, preparing for an “on-the-fly” FAIR future

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    Introduction: Significant progress has been made in terms of best practice in research data management for nanosafety. Some of the underlying approaches to date are, however, overly focussed on the needs of specific research projects or aligned to a single data repository, and this “silo” approach is hampering their general adoption by the broader research community and individual labs.Methods: State-of-the-art data/knowledge collection, curation management FAIrification, and sharing solutions applied in the nanosafety field are reviewed focusing on unique features, which should be generalised and integrated into a functional FAIRification ecosystem that addresses the needs of both data generators and data (re)users.Results: The development of data capture templates has focussed on standardised single-endpoint Test Guidelines, which does not reflect the complexity of real laboratory processes, where multiple assays are interlinked into an overall study, and where non-standardised assays are developed to address novel research questions and probe mechanistic processes to generate the basis for read-across from one nanomaterial to another. By focussing on the needs of data providers and data users, we identify how existing tools and approaches can be re-framed to enable “on-the-fly” (meta) data definition, data capture, curation and FAIRification, that are sufficiently flexible to address the complexity in nanosafety research, yet harmonised enough to facilitate integration of datasets from different sources generated for different research purposes. By mapping the available tools for nanomaterials safety research (including nanomaterials characterisation, nonstandard (mechanistic-focussed) methods, measurement principles and experimental setup, environmental fate and requirements from new research foci such as safe and sustainable by design), a strategy for integration and bridging between silos is presented. The NanoCommons KnowledgeBase has shown how data from different sources can be integrated into a one-stop shop for searching, browsing and accessing data (without copying), and thus how to break the boundaries between data silos.Discussion: The next steps are to generalise the approach by defining a process to build consensus (meta)data standards, develop solutions to make (meta)data more machine actionable (on the fly ontology development) and establish a distributed FAIR data ecosystem maintained by the community beyond specific projects. Since other multidisciplinary domains might also struggle with data silofication, the learnings presented here may be transferrable to facilitate data sharing within other communities and support harmonization of approaches across disciplines to prepare the ground for cross-domain interoperability

    Metadata stewardship in nanosafety research: learning from the past, preparing for an "on-the-fly" FAIR future

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    Introduction: Significant progress has been made in terms of best practice in research data management for nanosafety. Some of the underlying approaches to date are, however, overly focussed on the needs of specific research projects or aligned to a single data repository, and this "silo" approach is hampering their general adoption by the broader research community and individual labs.Methods: State-of-the-art data/knowledge collection, curation management FAIrification, and sharing solutions applied in the nanosafety field are reviewed focusing on unique features, which should be generalised and integrated into a functional FAIRification ecosystem that addresses the needs of both data generators and data (re)users.Results: The development of data capture templates has focussed on standardised single-endpoint Test Guidelines, which does not reflect the complexity of real laboratory processes, where multiple assays are interlinked into an overall study, and where non-standardised assays are developed to address novel research questions and probe mechanistic processes to generate the basis for read-across from one nanomaterial to another. By focussing on the needs of data providers and data users, we identify how existing tools and approaches can be re-framed to enable "on-the-fly" (meta) data definition, data capture, curation and FAIRification, that are sufficiently flexible to address the complexity in nanosafety research, yet harmonised enough to facilitate integration of datasets from different sources generated for different research purposes. By mapping the available tools for nanomaterials safety research (including nanomaterials characterisation, nonstandard (mechanistic-focussed) methods, measurement principles and experimental setup, environmental fate and requirements from new research foci such as safe and sustainable by design), a strategy for integration and bridging between silos is presented. The NanoCommons KnowledgeBase has shown how data from different sources can be integrated into a one-stop shop for searching, browsing and accessing data (without copying), and thus how to break the boundaries between data silos.Discussion: The next steps are to generalise the approach by defining a process to build consensus (meta)data standards, develop solutions to make (meta)data more machine actionable (on the fly ontology development) and establish a distributed FAIR data ecosystem maintained by the community beyond specific projects. Since other multidisciplinary domains might also struggle with data silofication, the learnings presented here may be transferrable to facilitate data sharing within other communities and support harmonization of approaches across disciplines to prepare the ground for cross-domain interoperability

    Refinement of the selection of physicochemical properties for grouping and read-across of nanoforms

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    Before placing a new nanoform (NF) on the market, its potential adverse effects must be evaluated. This may e.g. be done via hazard and risk assessment. Grouping and read-across of NFs is a possible strategy to reduce resource consumption, maximising the use of existing data for assessment of NFs. The GRACIOUS project provides a framework in which possible grouping and read-across for NFs is mainly based on an evaluation of their similarity. The impact of NFs on human health and the environment depends strongly on the concentration of the NF and its physicochemical properties, such as chemical composition, size distribution, shape, etc. Hence, knowledge of the most relevant physicochemical properties is essential information for comparing similarity. The presented work aims to refine existing proposals for sets of descriptors (descriptor array) that are needed to describe distinct NFs of a material to identify the most relevant ones for grouping and read-across. The selection criteria for refining this descriptor array are explained and demonstrated. Relevant protocols and methods are proposed for each physicochemical property. The required and achievable measurement accuracies of the refined descriptor array are reviewed, as this information is necessary for similarity assessment of NFs based on individual physicochemical properties

    Reproducibility of methods required to identify and characterize nanoforms of substances

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    ‱Nanoforms (NFs) of a substance may be distinguished from one another through differences in their physicochemical properties. When registering nanoforms of a substance for assessment under the EU REACH framework, five basic descriptors are required for their identification: composition, surface chemistry, size, specific surface area and shape. To make the risk assessment of similar NFs efficient, a number of grouping frameworks have been proposed, which often require assessment of similarity on individual physicochemical properties as part of the group justification. Similarity assessment requires an understanding of the achievable accuracy of the available methods. It must be demonstrated that measured differences between NFs are greater than the achievable accuracy of the method, to have confidence that the measured differences are indeed real. To estimate the achievable accuracy of a method, we assess the reproducibility of six analytical techniques routinely used to measure these five basic descriptors of nanoforms: inductively coupled plasma mass spectrometry (ICP-MS), Thermogravimetric analysis (TGA), Electrophoretic light scattering (ELS), Brunauer–Emmett–Teller (BET) specific surface area and transmission and scanning electron microscopy (TEM and SEM). Assessment was performed on representative test materials to evaluate the reproducibility of methods on single NFs of substances. The achievable accuracy was defined as the relative standard deviation of reproducibility (RSDR) for each method. ‱Well established methods such as ICP-MS quantification of metal impurities, BET measurements of specific surface area, TEM and SEM for size and shape and ELS for surface potential and isoelectric point, all performed well, with low RSDR, generally between 5 and 20%, with maximal fold differences usually <1.5 fold between laboratories. Applications of technologies such as TGA for measuring water content and putative organic impurities, additives or surface treatments (through loss on ignition), which have a lower technology readiness level, demonstrated poorer reproducibility, but still within 5-fold differences. The expected achievable accuracy of ICP-MS may be estimated for untested analytes using established relationships between concentration and reproducibility, but this is not yet the case for TGA measurements of loss on ignition or water content. The results here demonstrate an approach to estimate the achievable accuracy of a method that should be employed when interpreting differences between NFs on individual physicochemical properties

    Nanotechnologies and building materials : nanomaterials release mechanisms during their use and photocatalytic cement degradation

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    La production Ă  l'Ă©chelle industrielle et la diversitĂ© d'utilisation des nano-objets manufacturĂ©s, leurs agrĂ©gats et agglomĂ©rats (NOAA) et leur possible libĂ©ration dans l'environnement aquatique naturel ont conduit Ă  une prĂ©occupation croissante parmi la communautĂ© scientifique des sciences de l'environnement et des nanotechnologies. Parmi eux, les ciments photocalytiques sont basĂ©s sur la propriĂ©tĂ© photocatalytique de NOAA-TiO2 ajoutĂ©s dans la matrice du ciment. Lors de l'exposition au rayonnement UV, les NOAA-TiO2 provoquent l‘oxydation (i.e. dĂ©gradation) des composĂ©s adsorbĂ©s Ă  la surface du ciment. Sa validation environnementale est requise, en termes d'impacts et risques associĂ©s Ă  l'incorporation des NOAA-TiO2. Le but de cette Ă©tude est de dĂ©terminer les mĂ©canismes de relargage des NOAA-TiO2 incorporĂ©s dans le ciment autonettoyant durant le processus de vieillissement et d’identifier les paramĂštres qui pourraient le contrĂŽler. Les Ă©lĂ©ments relarguĂ©s (fractions particulaires et solubles) et leurs cinĂ©tiques ont Ă©tĂ© quantifiĂ©s par ICP-OES et caractĂ©risĂ©s par MET. Nous avons ensuite analysĂ© la phase solide (du cƓur Ă  la couche altĂ©rĂ©e) en utilisant plusieurs techniques aux rayons X, la DRX (diffraction des rayons X), ÎŒ-XRF (micro X-Ray spectroscopie) et une combinaison sans prĂ©cĂ©dent de nano et micro X-ray tomographie pour effectuer une caractĂ©risation complĂšte de la matrice du ciment altĂ©rĂ© comprenant la structure de pores.The industrial scale production and wide variety of applications of manufactured nano-object, their aggregates and agglomerates (NOAA) and their possible release into the natural aquatic environment have produced an increasing concern among the nanotechnology and environmental science community.Among them, the photocatalytic cements are based on the photocatalytic property of TiO2-NOAA added in the cement matrix. During continuous UV radiation exposure, TiO2-NOAA lead to the oxidation (i.e. degradation) of compounds adsorbed at the cement surface. Such NOAA application in building construction is promising as it exhibits improved properties but its environmental validation (in terms of impacts and risks associated with the incorporation of TiO2 NOAA) is also required.The aim of this study is to determine the mechanisms of TiO2-NOAA release from a self-cleaning cement during aging process and to identify cement parameters controlling it.. The elements released (particulate and soluble fractions) and their kinetic were quantified by ICP-OES and characterized with TEM. We analyzed the solid phase (core to altered layer) using several X-ray based techniques: XRD (X-Ray Diffraction), ”-XRF (micro X-Ray Spectroscopy) and an unprecedented combination of nano and micro X-ray computed tomography to perform a original and omplete altered cement matrix characterization including pore structure

    Release of TiO2 nanoparticles from cement during their life cycle : step of use

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    The industrial scale production and wide variety of applications of manufactured nanoparticles (NPs) and their possible release during use step into the natural aquatic environment have produced an increasing concern among the nanotechnology and environmental science community. A part of this production concerns a new type of cement, called self-cleaning cement which maintain clean and white wall fronts. This property come from the incorporation of photocatalytic titanium dioxide nanoparticles (TiO2 NPs anatase) in the cement matrix. During continuous UV radiation exposure, the TiO2 NPs contribute to the oxidation (i.e. degradation) of adsorbed compounds at the cement surface. This recent nanomaterial (nanoparticles-based material) is promising as it exhibits improved properties but its environmental validation (in terms of impacts and risks associated with the incorporation of TiO2 NPs) is also required. Cement matrix is altered when exposed to water (e.g. rain draining on cement wall). An altered porous layer is then formed at its surface where numerous and complex reactions (primary cement phases congruent or incongruent dissolution, secondary phase formation, etc.) occur. This layer shows an increase of porosity. Cement leaching behavior, and associated elements released into the environment, are well described in the literature but the behavior of the incorporated TiO2 NPs is currently unknown. Release of TiO2 NPs is suspected, more precisely, the emission of nanomaterial degradation residues (NDR) into the environment (waters, soils ...). In this study we hypothesize the release of TiO2 NPs is controlled by the surface layer porosity, as TiO2 anatase NPS are very few soluble. This study focuses on the influence of the cement porosity on leaching behavior of TiO2 NPs. Samples are industrial cements incorporating with TiO2 NPs that were hydrated at the lab-scale in various conditions (addition of 30, 40 or 50 % of water) in order to evaluate the role of the porosity of the cement paste. Initial cement matric porosity was assessed by helium porosimetry and X-ray computed micro and nano-tomograghraphy analysis. To simulate the alteration phase, static leaching tests (liquid/solid ratio (L/S) of 100) were performed during 7 days. Each sample was placed within a dialysis membrane (10 kDa) filled with ultrapure water and submerged in a leachate solution (ultrapure water) to isolate the released particulate fraction from the subreleased soluble fraction. The released elements (particulate and soluble fractions) and their kinetics were quantified by ICP-OES; the chemical evolution of the altered layer was characterized by SEM and micro-XRF. As assumed, no soluble Ti was observed in the leachates. But Ti was dosed in the particulate fractions. The release kinetic of Ti is increasing with time for all the three cements with various initial porosity. The release of Ti starts at 11 hours of leaching for cement 40 and 50% and after 2 days for the cement 30%. After 7 days the cumulated TiO2 NPs release is not significantly different for the cement 50 and 40% but is significantly different for cement 30% respectively at 6400; 5200 and 2700 ng of Ti/ g of cement. It appears that the initial porosity is not the only parameter to predict the release of TiO2 NPs. The hypothesis is that the release is controlled by the porosity in the altered layer and more precisely by their connectivity and pore size. Microtomography with a spatial resolution of 1 ”m coupled with nanotomomaphy with resolution of 150 nm and 3D image analysis (Software AVISO) are performed for the analysis of void structure in altered layer and allow to identify more precisely parameters which controlled TiO2 NPs release
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