NEIMiner: nanomaterial environmental impact data miner

Tang, Kaizhi; Liu, Xiong; Harper, Stacey L.; Steevens, Jeffery A.; Xu, Roger

doi:10.2147/ijn.s40974

Cited by 7 publications

(3 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, Xu et al developed a toolkit termed Nanomaterial Environmental Impact data Miner (NEIMiner), which includes a function for automatically scraping the web for relevant and heterogeneous ENM environmental data, subsequently establishing complex data structures for modelling. 177 In addition, despite the limited amount of data available, a few working nanoEHS databases have been set up and running. For example, the NBI Knowledgebase (http://nbi.oregonstate.edu/) provides a comprehensive ENM library and a nano-bio interaction database categorised by nanomaterial properties such as core materials and surface functionalisations.…”

Section: Focusing On Biocorona – a Perspective From Statistical Modelmentioning

confidence: 99%

NanoEHS beyond toxicity – focusing on biocorona

Lin

Mortimer

Chen

et al. 2017

Environ. Sci.: Nano

View full text Add to dashboard Cite

The first phase of environmental health and safety of nanomaterials (nanoEHS) studies has been mainly focused on evidence-based investigations that probe the impact of nanoparticles, nanomaterials and nano-enabled products on biological and ecological systems. The integration of multiple disciplines, including colloidal science, nanomaterial science, chemistry, toxicology/immunology and environmental science, is necessary to understand the implications of nanotechnology for both human health and the environment. While strides have been made in connecting the physicochemical properties of nanomaterials with their hazard potential in tiered models, fundamental understanding of nano-biomolecular interactions and their implications for nanoEHS is largely absent from the literature. Research on nano-biomolecular interactions within the context of natural systems not only provides important clues for deciphering nanotoxicity and nanoparticle-induced pathology, but also presents vast new opportunities for screening beneficial material properties and designing greener products from bottom up. This review highlights new opportunities concerning nano-biomolecular interactions beyond the scope of toxicity.

show abstract

Section: Focusing On Biocorona – a Perspective From Statistical Modelmentioning

confidence: 99%

NanoEHS beyond toxicity – focusing on biocorona

Lin

Mortimer

Chen

et al. 2017

Environ. Sci.: Nano

View full text Add to dashboard Cite

show abstract

“…The Nanomaterial Environmental Impact data Miner, or NEIMiner, is a web-based tool built using CMS and Drupal [39]. NEIMiner consists of four parts: 1) nanomaterial environmental impact (NEI) modeling framework – similar to Framework for Risk Analysis of Multi-Media Environmental Systems (FRAMES), 2) data integration, 3) data management and access, and 4) model building.…”

Section: Reviewmentioning

confidence: 99%

Using natural language processing techniques to inform research on nanotechnology

Lewinski¹,

McInnes²

2015

Beilstein J. Nanotechnol.

View full text Add to dashboard Cite

SummaryLiterature in the field of nanotechnology is exponentially increasing with more and more engineered nanomaterials being created, characterized, and tested for performance and safety. With the deluge of published data, there is a need for natural language processing approaches to semi-automate the cataloguing of engineered nanomaterials and their associated physico-chemical properties, performance, exposure scenarios, and biological effects. In this paper, we review the different informatics methods that have been applied to patent mining, nanomaterial/device characterization, nanomedicine, and environmental risk assessment. Nine natural language processing (NLP)-based tools were identified: NanoPort, NanoMapper, TechPerceptor, a Text Mining Framework, a Nanodevice Analyzer, a Clinical Trial Document Classifier, Nanotoxicity Searcher, NanoSifter, and NEIMiner. We conclude with recommendations for sharing NLP-related tools through online repositories to broaden participation in nanoinformatics.

show abstract

“…ZnO NPs are often coated with a variety of capping agents or surface ligands with differing chemical properties to functionalize the surface and improve stability against agglomeration and dispersibility in a given medium [16]. These surface alterations have the potential to alter their toxicity as a result of differences in the release of Zn 2+ ions and ROS production compared to bare ZnO NPs [17–18]. In addition, the behaviour of surface functionalized ZnO NPs may vary compared to non-functionalized (bare) ZnO NPs by altering stability and/or agglomeration, potentially altering bioavailability and toxicity to aquatic organisms [18–21].…”

Section: Introductionmentioning

confidence: 99%

Influence of surface chemical properties on the toxicity of engineered zinc oxide nanoparticles to embryonic zebrafish

Zhou¹,

Son²,

Harper³

et al. 2015

Beilstein J. Nanotechnol.

View full text Add to dashboard Cite

SummaryZinc oxide nanoparticles (ZnO NPs) are widely used in a variety of products, thus understanding their health and environmental impacts is necessary to appropriately manage their risks. To keep pace with the rapid increase in products utilizing engineered ZnO NPs, rapid in silico toxicity test methods based on knowledge of comprehensive in vivo and in vitro toxic responses are beneficial in determining potential nanoparticle impacts. To achieve or enhance their desired function, chemical modifications are often performed on the NPs surface; however, the roles of these alterations play in determining the toxicity of ZnO NPs are still not well understood. As such, we investigated the toxicity of 17 diverse ZnO NPs varying in both size and surface chemistry to developing zebrafish (exposure concentrations ranging from 0.016 to 250 mg/L). Despite assessing a suite of 19 different developmental, behavioural and morphological endpoints in addition to mortality in this study, mortality was the most common endpoint observed for all of the ZnO NP types tested. ZnO NPs with surface chemical modification, regardless of the type, resulted in mortality at 24 hours post-fertilization (hpf) while uncoated particles did not induce significant mortality until 120 hpf. Using eight intrinsic chemical properties that relate to the outermost surface chemistry of the engineered ZnO nanoparticles, the highly dimensional toxicity data were converted to a 2-dimensional data set through principal component analysis (PCA). Euclidean distance was used to partition different NPs into several groups based on converted data (score) which were directly related to changes in the outermost surface chemistry. Kriging estimations were then used to develop a contour map based on mortality data as a response. This study illustrates how the intrinsic properties of NPs, including surface chemical modifications and capping agents, are useful to separate and identify ZnO NP toxicity to zebrafish (Danio rerio).

show abstract

NEIMiner: nanomaterial environmental impact data miner

Cited by 7 publications

References 4 publications

NanoEHS beyond toxicity – focusing on biocorona

NanoEHS beyond toxicity – focusing on biocorona

Using natural language processing techniques to inform research on nanotechnology

Influence of surface chemical properties on the toxicity of engineered zinc oxide nanoparticles to embryonic zebrafish

Contact Info

Product

Resources

About