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Detection and Quantification of Silver Nanoparticles at Environmentally Relevant Concentrations Using Asymmetric Flow Field−Flow Fractionation Online with Single Particle Inductively Coupled Plasma Mass Spectrometry
The presence of silver nanoparticles (AgNPs) in aquatic environments could potentially cause adverse impacts on ecosystems and human health. However, current understanding of the environmental fate and transport of AgNPs is still limited because their properties in complex environmental samples cannot be accurately determined. In this study, the feasibility of using asymmetric flow field-flow fractionation (AF4) connected online with single particle inductively coupled plasma mass spectrometry (spICPMS) to detect and quantify AgNPs at environmentally relevant concentrations was investigated. The AF4 channel had a thickness of 350 µm and its accumulation wall was a 10 kDa regenerated cellulose membrane. A 0.02 % FL-70 surfactant solution was used as an AF4 carrier. With 1.2 mL/min AF4 cross flow rate, 1.5 mL/min AF4 channel flow rate, and 5 ms spICPMS dwell time, the AF4–spICPMS can detect and quantify 40 – 80 nm AgNPs, as well as Ag-SiO2 nanoparticles (51.0 nm diameter Ag core and 21.6 nm SiO2 shell), with good recovery within 30 min. This system was not only effective in differentiating and quantifying different types of AgNPs with similar hydrodynamic diameters, such as in mixtures containing Ag-SiO2 core-shell nanoparticles and 40 – 80 nm AgNPs, but also suitable for differentiating between 40 nm AgNPs and elevated dissolved Ag content. The study results indicate that AF4–spICPMS is capable of detecting and quantifying AgNPs and other engineered metal- nanomaterials in environmental samples. Nevertheless, further studies are needed before AF4–spICPMS can become a routine analytical technique. This dataset is associated with the following publication: Huynh, K.A., E. Siska, E. Heithmar, S. Tadjiki, and S. Pergantis. Detection and Quantification of Silver Nanoparticles at Environmentally Relevant Concentrations Using Asymmetric Flow Field–Flow Fractionation Online with Single Particle Inductively Coupled Plasma Mass Spectrometry. Analytical Chemistry. American Chemical Society, Washington, DC, USA, 88(9): 4909–4916, (2016).
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Incidental Formation and transformation of silver nanoparticles during interaction between surfactant-based surface cleaners and silver nano-enabled products
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The data set contains the details on the characterization of silver nanoparticles suspension, and investigation of exposure of surface cleaning products to AgNPs (lab-synthesized & colloidal AgNPs in consumer product). In addition, Ag+ (as AgNO3) was used to simulate Ag+ released from solid nano-enabled products. This dataset is associated with the following publication: Radwan, I.M., P.M. Potter, D.D. Dionysiou, and S.R. Al-Abed. Silver Nanoparticle Interactions with Surfactant-Based Household Surface Cleaners. ENVIRONMENTAL ENGINEERING SCIENCE. Mary Ann Liebert, Inc., Larchmont, NY, USA, 38(6): 481-488, (2021).
Anaerobic Toxicity of Cationic Silver Nanoparticles
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Toxicity data for the impact of nano-silver on anaerobic degradation. This dataset is associated with the following publication: Gitipour, A., S. Thiel, K. Scheckel, and T. Tolaymat. Anaerobic Toxicity of Cationic Silver Nanoparticles. D. Barcelo Culleres, and J. Gan SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 557: 363-368, (2016).
Dissolution of Silver Nanoparticles in Consumer Products: Effects of Particle Size and Capping Agent
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The data set contains the details on the characterization of silver nanoparticles suspension, the dissolution of silver nanoparticles in consumer products based on the dissolved mass Ag+ at deionized water and tap water and particle size fluctuations in deionized water and tap. Also contains a comparison of dissolution patterns between silver consumer products and laboratory-synthesized silver nanoparticles. This dataset is associated with the following publication: Radwan, I.M., A. Gitipour, P.M. Potter, D.D. Dionysiou, and S.R. Al-Abed. Dissolution of silver nanoparticles in colloidal consumer products: effects of particle size and capping agent. Journal of Nanoparticle Research. Springer SBM, New York, NY, USA, 21: 155, (2019).
Transformation of Silver Nanoparticle Consumer Products during Simulated Usage and Disposal
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The data set contains the details on the silver speciation in silver nanoparticle consumer products and the transformation of the silver during their usage and disposal. Synthetic stomach fluid and wastewater sludge are used to create a model for the lifecycle of silver nanoparticle dietary supplements. This dataset is associated with the following publication: Potter, P., J. Navratilova, K. Rogers, and S. Al-Abed. Transformation of silver nanoparticle consumer products during simulated usage and disposal. Environmental Science: Nano. RSC Publishing, Cambridge, UK, 6(2): 592-598, (2019).
Screening silver nanoparticles for potential neurotoxicity using cortical neurons grown on microelectrode arrays
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the zip files contain outputs from the R-analysis for the nanosilver experiments. This dataset is associated with the following publication: Strickland, J., W. LeFew, J. Crooks, D. Hall, J. Ortenzio , K. Dreher , and T. Shafer. In vitro screening of silver nanoparticles and ionic silver using neural networks yields differential effects on spontaneous activity and pharmacological responses.. TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 355(11): 1-8, (2016).
Biophysical comparision of four silver nanoparticles coatings using microscopy hyperspectral imaging and flow cytometry
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hyperspectral imaging data, images , flow cytometry histograms. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: contact robert zucker by e-mail zucker.robert@epa.gov. Format: the imaging is in JP2 and ND 2 nikon files . the flow cytometry is in FSC3.0 format which is not uploadable. This dataset is associated with the following publication: Zucker, R., J. Ortenzio, L. Degn, J. Lerner , and W. Boyes. Biophysical Comparison of Four Silver Nanoparticles Coatings using Microscopy, Hyperspectral Imaging and Flow Cytometry.. PLoS ONE. Public Library of Science, San Francisco, CA, USA, 1-24, (2019).
Data Set
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The dataset contains data on the dynamic light scattering measurements that were conducted and reported in the manuscript. The average size of the silver nanoparticles used is presented along with a time series of measurements measuring how the measured hydrodynamic diameter changed in the presence of Ampicillin over a 12 hour time period. This dataset is associated with the following publication: Surwade, P., C. Ghildyal, C. Weikel, T. Luxton, D. Peloquin, F. Xin, and V. Shah. Augmented antibacterial activity of ampicillin with silver nanoparticles against methicillin-resistant Staphylococcus aureus (MRSA). The Journal of Antibiotics. Springer Nature Group, New York, NY, 72(2): 50-53, (2019).
Laboratory data to assess the effect of nanoparticle size and natural organic matter composition on the bioavailability of platinum nanoparticles to a model freshwater invertebrate species
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Data collected in a series of laboratory experiments conducted with the model freshwater snail Lymnaea stagnalis exposed to dissolved platinum (Pt), or polyvinylpyrrolidone coated platinum nanoparticles (PtNPs) of five different nominal hydrodynamic diameters in the presence (or absence) of natural organic matter (NOM) are presented in this data release. Files include 1) a data dictionary describing the variables; 2) exposure characteristics of the experimental solutions; 3) Pt concentrations in the experimental organisms; and 4) QA/QC performed during the analysis. Format of the files is comma delimited (*.csv).