Detection of Engineered Nanomaterials at Semi-Conductor Facilities and Consumer Products

Project: Research project

Project Details

Description

Detection of Engineered Nanomaterials at Semi-Conductor Facilities and Consumer Products Development of Quantitative Structure-Activity Relationship for Prediction of Biological Effects of Nanoparticles Associated with Semiconductor Indust The global project goal is to develop a prototype computational toxicity model using computational quantum chemical methods and modern data mining techniques such as linear and non-linear methods, neural networks, and probabilistic methods. The ASU component is to deliver a rapid and robust toxicity assay that can be performed in hours and serves critical information about the biological effect to Quantitative Structure-Activity Relationships (QSARs) modeling efforts. The value of the proposed approach is to predict the toxic effects and fate of both currently conceived (QD, CNT, Si nanowires) as well as future MNMs that will be used in the semiconductor industry. The long term goal is to better understand the potential adverse effects of MNMs to prior to their commercialization and to allow semiconductor industries to have better position in the potential commercial submissions of MNMs for Federal approval. Detection of Engineered Nanomaterials at Semi-Conductor Facilities and Consumer Products Engineered nanomaterials (NMs) in air, water and soil pose potential environmental safety and health (ESH) issues for lab personnel and the environment. NMs suspended in air may pose a significant risk to lab personnel. NMs present in liquid wastestreams (e.g., chemical mechanical polishing (CMP) solutions) may contain trace amounts of nanomaterials which could either be (1) discharged to the environment with the potential to bioaccumulate or generate toxicity or (2) reduce the ability of recycling and reuse of ultra-pure water. Nano-enabled thermal packaging solutions of semiconductor products may also leach nanoparticles over their lifetime (e.g., carbon nanotubes in polymer/epoxy matrices). The aim of this research is to develop analytical methods for detecting and quantifying trace quantities nanomaterials relevant to the semiconductor industry in waste and recycled water, in lab air, and leached from packaged semiconductors. This project leverages prior and ongoing support from the USEPA plus NIH/NIEHS and extends analytical techniques pioneered in our lab and evaluated in round-robin testing, allowing our team to tailor their application to the semiconductor sector.
StatusFinished
Effective start/end date1/1/124/30/15

Funding

  • SRCCO Inc.: $345,627.00

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