• Login
    View Item 
    •   Home
    • Articles and other publications by RIVM employees
    • Miscellaneous
    • View Item
    •   Home
    • Articles and other publications by RIVM employees
    • Miscellaneous
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    RIVM Publications RepositoryCommunitiesTitleAuthorsIssue DateSubmit Date

    My Account

    LoginRegister

    Statistics

    Display statistics

    Development of a systematic method to assess similarity between nanomaterials for human hazard evaluation purposes - lessons learnt.

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Average rating
     
       votes
    Cast your vote
    You can rate an item by clicking the amount of stars they wish to award to this item. When enough users have cast their vote on this item, the average rating will also be shown.
    Star rating
     
    Your vote was cast
    Thank you for your feedback
    Authors
    Vdz Park, Margriet
    Catalán, Julia
    Ferraz, Natalia
    Cabellos, Joan
    Vanhauten, Ralph
    Vázquez-Campos, Socorro
    Janer, Gemma
    Type
    Article
    Language
    en
    
    Metadata
    Show full item record
    Title
    Development of a systematic method to assess similarity between nanomaterials for human hazard evaluation purposes - lessons learnt.
    Published in
    Nanotoxicology 2018; 12(7):652-76
    Publiekssamenvatting
    Within the EU FP-7 GUIDEnano project, a methodology was developed to systematically quantify the similarity between a nanomaterial (NM) that has been tested in toxicity studies and the NM for which risk needs to be evaluated, for the purpose of extrapolating toxicity data between the two materials. The methodology is a first attempt to use current knowledge on NM property-hazard relationships to develop a series of pragmatic and systematic rules for assessing NM similarity. Moreover, the methodology takes into account the practical feasibility, in that it is based on generally available NM characterization information. In addition to presenting this methodology, the lessons learnt and the challenges faced during its development are reported here. We conclude that there is a large gap between the information that is ideally needed and its application to real cases. The current database on property-hazard relationships is still very limited, which hinders the agreement on the key NM properties constituting the basis of the similarity assessment and the development of associated science-based and unequivocal rules. Currently, one of the most challenging NM properties to systematically assess in terms of similarity between two NMs is surface coating and functionalization, which lacks standardized parameters for description and characterization methodology. Standardization of characterization methods that lead to quantitative, unambiguous, and measurable parameters describing NM properties are necessary in order to build a sufficiently robust property-hazard database that allows for evidence-based refinement of our methodology, or any other attempt to systematically assess the similarity of NMs.
    DOI
    10.1080/17435390.2018.1465142
    PMID
    29732939
    URI
    http://hdl.handle.net/10029/621940
    ae974a485f413a2113503eed53cd6c53
    10.1080/17435390.2018.1465142
    Scopus Count
    Collections
    Miscellaneous

    entitlement

    Related articles

    • Grouping of nanomaterials to read-across hazard endpoints: from data collection to assessment of the grouping hypothesis by application of chemoinformatic techniques.
    • Authors: Lamon L, Asturiol D, Richarz A, Joossens E, Graepel R, Aschberger K, Worth A
    • Issue date: 2018 Sep 24
    • Grouping of nanomaterials to read-across hazard endpoints: a review.
    • Authors: Lamon L, Aschberger K, Asturiol D, Richarz A, Worth A
    • Issue date: 2019 Feb
    • Research strategies for safety evaluation of nanomaterials, part II: toxicological and safety evaluation of nanomaterials, current challenges and data needs.
    • Authors: Holsapple MP, Farland WH, Landry TD, Monteiro-Riviere NA, Carter JM, Walker NJ, Thomas KV
    • Issue date: 2005 Nov
    • Using a hybrid read-across method to evaluate chemical toxicity based on chemical structure and biological data.
    • Authors: Guo Y, Zhao L, Zhang X, Zhu H
    • Issue date: 2019 Aug 30
    • [Safety of medicinal nanoproducts: new areas of toxicological research].
    • Authors: Grudziński IP
    • Issue date: 2011

    DSpace software (copyright © 2002 - 2023)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.