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March 8 - 12, 2021

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Virtual Pittcon 2021

Soil Mineral Analysis by Particle Correlated Raman Spectroscopy (PCRS): Method Optimization

  • Session Number: G07-03
Tuesday, March 09, 2021: 9:10 AM - 9:30 AM

Speaker(s)

Co-Author
Andrew Whitley
President Elect, Society for Applied Spectroscopy
HORIBA Scientific
Co-Author
Bridget O'Donnell
HORIBA Scientific
Author
Brooke Kammrath
Professor
University of New Haven
Co-Author
Christopher Palenik
Microtrace LLC
Co-Author
Deborah Huck-Jones
Malvern Panalytical
Co-Author
Hannah Garvin
University of New Haven
Co-Author
John Reffner
John Jay College of Criminal Justice
Co-Author
Nicholas Gogola
University of New Haven
Co-Author
Peter De Forest
Forensic Consultants
Co-Author
Peter Harrington
Ohio University
Co-Author
Savannah Brown
University of New Haven

Description

The potential of soil analysis is not being realized in modern forensic laboratories. Soil can associate an unknown specimen from a shoe, tire tread, or shovel with a known, but also can provide investigative leads. Although numerous cases have demonstrated this capability, criticisms of forensic soil analysis (e.g., subjective, labor-intensive, time-consuming) have resulted in a considerable decline in its use in forensic investigations. The failure to collect and analyze soil evidence has created countless missed opportunities, and the criminal justice community is missing out on a valuable and powerful type of physical evidence that has been proven to help in the investigation and adjudication of cases. Consequently, there is a need for a statistically-supported, automated, and objective analytical method for soil analysis. Particle correlated Raman spectroscopy (PCRS), also known as particle driven or morphologically directed Raman spectroscopy (MDRS), is a novel yet reliable analytical technique that can add significant value to the forensic examination of soil evidence. PCRS is capable of delivering particle size distribution and microscopic morphological characteristics for the particles present within a soil sample, and at the same time provides secure mineral identification. The research presented here focuses on the method optimization for soil mineral analysis with PCRS. The parameters for the chemical identification of minerals via Raman spectroscopy (e.g., laser wavelength, laser power, exposure time, magnification, grating), the imaging of particles (e.g., contrast/illumination method, magnification, targeted morphological analysis), and dispersion of the particle mixtures were optimized using response surface modeling of a multi-level experimental design. This research presents the first steps in achieving the overall aim of developing a robust, automated, and objective analytical method for the analysis and comparison of soil minerals using PCRS.

Additional Info

Keywords: Please select up to 4 keywords ONLY:
Environmental - Soils, Hazardous Waste,Method Development,Particle Size and Distribution,Raman/Surface Enhanced Raman Spectroscopy



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