28 May 2017 to 2 June 2017
Queen's University
America/Toronto timezone
Welcome to the 2017 CAP Congress! / Bienvenue au congrès de l'ACP 2017!

Extracting structural disorder signatures from vibrational spectra using photoacoustic detection

1 Jun 2017, 14:00
15m
BioSci 1103 (Queen's University)

BioSci 1103

Queen's University

CLOSED - Oral (Non-Student) / orale (non-étudiant) Condensed Matter and Materials Physics / Physique de la matière condensée et matériaux (DCMMP-DPMCM) R3-2 Ultrafast and Time-Resolved Processes (DAMOPC/DCMMP) | Procédés ultrarapides et résolus dans le temps (DPAMPC/DPMCM)

Speaker

Kristin Poduska (Memorial University of Newfoundland)

Description

This work demonstrates that, in order for Fourier transform infrared (FTIR) spectroscopy to be an effective materials characterization tool, it is essential to evaluate which bands are affected exclusively by specimen differences, independent of the detection and data analysis methodologies. To do this, we compared standard optical detection with photoacoustic detection of FTIR spectra for two classes of benchmark samples: uniformly sized and shaped particles (silica spheres), and size-fractioned CaCO$_3$ (calcite) powders. Subsequent analyses focused on assessments of peak positions, relative intensities, and widths as a function of different sample and data collection parameters. By comparing these trends with other structural characterization data, we identify which spectrum features are uniquely related to structural disorder in the calcite powders. In doing so, we present a best-practices methodology for extracting specimen-specific features from FTIR spectra.

Primary authors

Stephen Campbell (Memorial University of Newfoundland) Ben Xu (Memorial University) Kirk Michaelian (Natural Resources Canada) Kristin Poduska (Memorial University of Newfoundland)

Presentation materials

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