The main goal of LICARA is to develop a structured life cycle approach for nanomaterials which enables the evaluation of the benefits and risks qualitatively with low and manageable efforts, over the
A RA strategy is being developed that considers the impact of the varying properties of an NP during various life cycle stages on human health and combined with environmental risks. Within MARINA a two-phase risk assessment strategy has been developed. In Phase 1 (Problem framing) a base set of information is considered, relevant exposure scenarios (RESs) are identified and the scope for Phase 2 (Risk assessment) is established. The relevance of an RES is indicated by information on exposure, fate/kinetics and/or hazard; these three domains are included as separate pillars that contain specific tools. Phase 2 consists of an iterative process of risk characterization, identification of data needs and integrated collection and evaluation of data on the three domains, until sufficient information is obtained to conclude on possible risks in a RES. Only data are generated that are considered to be needed for the purpose of risk assessment. A fourth pillar, risk characterization, is defined and it contains risk assessment tools. This strategy describes a flexible and efficient approach for data collection and risk assessment which is essential to ensure safety of NPs.
To assess risks associated with nanotechnology operations. The tool estimates an emission probability and severity band and provides advice on what engineering controls to use. It includes nine domains covering handling of liquids, powders and abrasion of solids. Combines hazard “severity” scores and exposure “probability” scores in a matrix to obtain a level of risk and associated controls out of 4 possible levels of increasing risk and associated controls. Control banding (CB) strategies (a qualitative risk characterization and management strategy) offer simplified solutions for controlling worker exposures to constituents that are found in the workplace in the absence of firm toxicological and exposure data.
Web-based Control Banding Tool using an Exposure Process Model. To assess health risks qualitatively after exposure to synthetic NPs. It concerns single particles as well as agglomerates or aggregates and applies to NPs that meet all of the following criteria:
i) particles are not (water) soluble;
ii) particles are synthetically produced and not released as unintentional by-product of e.g. incomplete combustion processes;
iii) the size of the primary particles is smaller than 100 nm and/or the specific surface area of the nanopowder is larger than 60 m2/g
The main goal of LICARA is to develop a structured life cycle approach for nanomaterials which enables the evaluation of the benefits and risks qualitatively with low and manageable efforts, over the nanoproduct's life time. It further allows a comparison with the risks and benefits of the conventional (non-nano) poducts. The tool stimulates economic, environmental and social opportunities. This tool is specifically intended for use by SME's to support them in communicating with regulators, and potential clients and investors.
Screening tool for evaluation of exposure and hazard of NPs contained in products for professional and private use. To categorize and rank the possible exposure and hazards associated with a nanomaterial in a product. The primary focus was on nanomaterials relevant for professional end-users and consumers as well as nanomaterials released into the environment.
Allows to estimate 'nanospecific risk potentials' for synthetic nanomaterials and applications for workers, consumers and environment. It also provides the basis for early decision-making for or against new projects.
Designed originally as a research tool, SimpleBox4Nano has proven most useful in dedicated environmental fate studies, focused at understanding and predicting environmental fate from fundamental physical and chemical substance properties. Screening-level quantitative model, expresses NP transport and concentrations in and across air, rain, surface waters, soil, and sediment, accounting for nano-specific processes such as aggregation, attachment, and dissolution. The SimpleBox4Nano is a nanomaterial-specific developent of the SimpleBox model, which underpins the EU's chemical risk and safety decision-support tool EUSES. SimpleBox4Nano simulates at regional to continental scale for screening level fate assessment. It can also be used to determine the maximum allowed production volume of NPs in EU since production volume is linear with the predicted milieu concentration.
Online control banding and risk management tool for manufactured nanomaterials. Hazard assessment and case-specific exposure potentials are combined into an integrated assessment of risk levels expressed in control bands with associated risk management recommendations. It can also be used to assess and manage emissions from nanoparticle-forming processes. Uses data on material properties, processes and production facilities to estimate occupational risk. The tool uses the Risk Quotient (i.e. the ratio of an exposure dose to a human effect threshold) to estimate risk deterministically. The tool is capable of estimating exposure from spray processes and it can perform nano-specific Hazard Assessment based on read-across between NPs based on specific material properties and hazard indicators, tested for performance against in vivo experiments.
The ConsExpo nano tool can be used to estimate inhalation exposure to nanomaterials in consumer spray products. To run the model, user input on different exposure determinants such as the product and its use, the nanomaterial and the environmental conditions is required. Exposure is presented in different measures. The outcome of the assessment is an alveolar load in the lungs as one of the most critical determinants of inflammation of the lungs is both the magnitude and duration of the alveolar load of a nanomaterial. To estimate the alveolar load arising from the use of nano-enabled spray products, ConsExpo nano combines models that estimate the external aerosol concentration in indoor air, with models that estimate the deposition in and clearance of inhaled aerosol from the alveolar region.