Surface characterization and chemical speciation of adsorbed iron(<scp>iii</scp>) on oxidized carbon nanoparticles

Pattammattel, Ajith; Leppert, Valerie J.; Forman, Henry Jay; O’Day, Peggy A.

doi:10.1039/c8em00545a

Cited by 4 publications

(2 citation statements)

References 63 publications

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“…Here we studied the interaction of carbon nanoparticles with surface-adsorbed Fe(III) (Fe/CNP), which represents a synthetic component of nano-sized airborne particulate matter, with alveolar macrophages. 22 , 32 Biologically abundant elements such as P, S, K, Cl, etc., were mapped to determine the overall morphology of the cells, and metal-bearing nanoparticles were mapped in the hard X-ray energy range. In Fig.…”

Section: Resultsmentioning

confidence: 99%

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Multimodal X-ray nano-spectromicroscopy analysis of chemically heterogeneous systems

et al. 2022

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Understanding the nanoscale chemical speciation of heterogeneous systems in their native environment is critical for several disciplines such as life and environmental sciences, biogeochemistry, and materials science. Synchrotron-based x-ray spectromicroscopy tools are widely used to understand the chemistry and morphology of complex material systems owing to their high penetration depth and sensitivity. The multi-dimensional (4D+) structure of spectromicroscopy data poses visualization and data reduction challenges. This paper reports the strategies for the visualization and analysis of spectromicroscopy data. We created a new graphical user interface and data analysis platform named XMIDAS to visualize spectromicroscopy data from both image and spectrum representations. The interactive data analysis toolkit combined conventional analysis methods with well-established machine learning classification algorithms (e.g. non-negative matrix factorization) for data reduction. The data visualization and analysis methodologies were then defined and optimized using a model particle aggregate with known chemical composition. Nanoprobe-based x-ray fluorescence (nano-XRF) and x-ray absorption near edge structure (nano-XANES) spectromicroscopy techniques were used to probe elemental and chemical state information of the aggregate sample. We illustrated the complete chemical speciation methodology of the model particle by using XMIDAS. Next, we demonstrated the application of this approach in detecting and characterizing nanoparticles associated with alveolar macrophages. Our multimodal approach combining nano-XRF, nano-XANES, and differential phase-contrast (DPC) imaging efficiently visualizes the chemistry of localized nanostructure with the morphology. We believe that the optimized data reduction strategies and tool development will facilitate the analysis of complex biological and environmental samples using x-ray spectromicroscopy techniques.

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Section: Resultsmentioning

confidence: 99%

“…Fe(III) adsorbed to carbon nanoparticles (Fe/CNP) were synthesized by following the previously published method. 22 The approximate surface coverage of Fe on CNP was 10 μmol/m 2 . Fe/CNP particles were suspended in ultrapure deionized H 2 O (MilliQ H 2 O) at a 200 μg/mL concentration and dispersed by ultrasonication for 2 min.…”

Section: Methodsmentioning

confidence: 99%

Multimodal X-ray nano-spectromicroscopy analysis of chemically heterogeneous systems

et al. 2022

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Iron speciation in particulate matter (PM2.5) from urban Los Angeles using spectro-microscopy methods

Pattammattel

Leppert

Aronstein

et al. 2021

Atmospheric Environment

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Development of a Job-Exposure Matrix for Ultrafine Particle Exposure: The MatPUF JEM

Audignon-Durand

Gramond

Ducamp

et al. 2021

Annals of Work Exposures and Health

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Objective Ultrafine particles (UFPs) are generated from common work processes and have thus existed for a long time. Far more prevalent than engineered nanoparticles, they share common toxicological characteristics with them. However, there is no existing retrospective assessment tool specific to UFPs, for example, for epidemiological purposes. Thus, we aimed to develop a job-exposure matrix dedicated to UFPs. Method Fifty-seven work processes were identified as well as the chemical composition of UFPs emitted, following a literature review and the input of an expert panel. These work processes were associated with occupational codes as defined by the ISCO 1968 classification. The probability and frequency of UFP exposure were assessed for each combination of occupational code and process. Summarized probabilities and frequencies were then calculated for all ISCO occupational codes associated with several processes. Variations in exposure over time or across industrial sectors were accounted for in the assessment of each occupational code. Results In the ISCO classification, 52.8% of the occupational codes (n = 835) assessed were associated with exposure to UFPs, consisting mainly of carbonaceous, metallic, and mineral families (39.5%, 22 and, 15.8%, respectively). Among them, 42.6% involved very probable exposure, and at a high frequency (regularly or continuously). Conclusion These results suggest that occupational exposure to UFPs may be extensive at the workplace and could concern a wide variety of workers. Pending the integration of a third parameter assessing the intensity of UFP exposure, the MatPUF JEM already constitutes a promising and easy-to-use tool to study the possible adverse health effects of UFPs at work. It may also guide prevention policies in the occupational environments concerned, including those involving engineered nanoparticles.

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Surface characterization and chemical speciation of adsorbed iron(iii) on oxidized carbon nanoparticles

Abstract: Iron speciation on oxidized carbon nanoparticles changes with surface concentration.

Cited by 4 publications

References 63 publications

Multimodal X-ray nano-spectromicroscopy analysis of chemically heterogeneous systems

Multimodal X-ray nano-spectromicroscopy analysis of chemically heterogeneous systems

Iron speciation in particulate matter (PM2.5) from urban Los Angeles using spectro-microscopy methods

Development of a Job-Exposure Matrix for Ultrafine Particle Exposure: The MatPUF JEM

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