Plasmonics under the Infrared Microscope: Sensing and Spectra of Single Particles Using Metal Film Hole Arrays

Malone, Marvin A.; Cilwa, Katherine E.; Luthra, Antriksh; McCormack, Matthew; Lioi, David B.; Coe, James V.

doi:10.1109/sopo.2012.6270997

Cited by 2 publications

(2 citation statements)

References 27 publications

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“…Given the known symptoms of inhaling high levels of particulate matter and the risks associated with long-term exposure to elevated levels, there is a need to chemically evaluate such particles. 10 Our previous single particle work [10][11][12][13][14][15] includes the study of a spectral library of 63 individual dust particles extracted from our laboratory air 12 demonstrating chemical variability including minerals, sulfates, nitrates, and organics, as well as a model for analysis of volume fractions. 10 In this work, the study is extended to samples obtained from a home air filter and the 11 September 2001 World Trade Center (WTC) event.…”

Section: Introductionmentioning

confidence: 99%

Dust Library of Plasmonically Enhanced Infrared Spectra of Individual Respirable Particles

Luthra

Ravi

et al. 2016

Appl Spectrosc

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This work characterizes collections of infrared spectra of individual dust particles of ∼4 µm size that were obtained from three very different environments: our lab air, a home air filter, and the 11 September 2001 World Trade Center event. Particle collection was done either directly from the air or by placing dust powder from various samples directly on the plasmonic mesh with 5 µm square holes as air is pumped through the mesh. This arrangement enables the recording of "scatter-free" infrared absorption spectra of individual particles of size comparable to the probing wavelengths whose vibrational signatures are otherwise dominated by scattering and dispersive line shape distortions. The spectra are sensitive to the amounts of various infrared active components and analysis using a Mie-Bruggeman model for mixed composition particles provides volume fractions of the components. Inhalation of dust particles of ∼4 µm size has significant health consequences as these are among the largest inhaled into people's lungs. The chemical composition of ∼4 µm respirable particles is of great interest from health, atmospheric, and environmental perspectives as different environments may pose different hazards and spectroscopic challenges.

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Section: Introductionmentioning

confidence: 99%

Dust Library of Plasmonically Enhanced Infrared Spectra of Individual Respirable Particles

Luthra

Ravi

et al. 2016

Appl Spectrosc

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“…The Coe Group has recorded IR spectra of individual subwavelength particles including live yeast cells, latex microspheres, , and dust particles , by using plasmonic Ni films with arrays of subwavelength holes − and an imaging FTIR microscope. Scanning electron microscope images of dust particles trapped in the holes of plasmonic mesh are given in Figure .…”

Section: Introductionmentioning

confidence: 99%

Infrared Spectral Model for Subwavelength Particles of Mixed Composition based on the Spectra of Individual Particles with Calibration Data for Airborne Dust

et al. 2013

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A Mie-Bruggeman spectral model is presented which predicts the orientationally averaged, infrared spectra of individual mixed-composition particles or the average spectrum of collections of such particles. The model uses parameters extracted from sets of individual particle spectra of pure materials known to be in subject mixtures. The spectra of both calibrants and subject particles were recorded by trapping size-selected particles in the holes of plasmonic metal mesh. Calibrating data is presented for quartz, calcite, dolomite, three clays, gypsum, polyethylene, and living organic material (yeast cells). The individual particle spectra of these calibrants are averaged to account for crystal orientation effects, fit by a Mie theory model, and tabulated herein as dielectric functions of each component. The component dielectric functions are combined in this model with Bruggeman effective medium theory producing a spectral prediction for mixed-composition particles. The Mie-Bruggeman model was used to analyze the composition of dust from our lab air [K. E. Cilwa et al. J. Phys. Chem. C 2011, 115, 16910] based on the average spectrum of the dust particles. The model does a reasonable job of characterizing the dust in our laboratory air exhibiting promise for future applications. This work presents the model and illustrates potential; however, much more work will be required before its accuracy as a quantitative analytical method is established.

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Plasmonics under the Infrared Microscope: Sensing and Spectra of Single Particles Using Metal Film Hole Arrays

Cited by 2 publications

References 27 publications

Dust Library of Plasmonically Enhanced Infrared Spectra of Individual Respirable Particles

Dust Library of Plasmonically Enhanced Infrared Spectra of Individual Respirable Particles

Infrared Spectral Model for Subwavelength Particles of Mixed Composition based on the Spectra of Individual Particles with Calibration Data for Airborne Dust

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