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NCJ Number: 249283 Find in a Library
Title: Optimization of Gap Derivatives for Measuring Blood Concentration of Fabric Using Vibrational Spectroscopy
Journal: Applied Spectroscopy  Volume:69  Issue:6  Dated:June 2015  Pages:773-748
Author(s): Stephanie A. Dejong; Wayne L. O'Brien; Zhenyu Lu; Brianna M. Cassidy; Stephen L. Morgan; Michael L. Myrick
Date Published: June 2015
Page Count: 16
Sponsoring Agency: National Institute of Justice (NIJ)
Washington, DC 20531
Grant Number: 2011-IJ-CX-K055
Document: HTML
Type: Report (Grant Sponsored); Report (Study/Research); Research (Applied/Empirical)
Format: Article; Document (Online)
Language: English
Country: United States of America
Annotation: Derivatives are common preprocessing tools, typically implemented as Savitzky-Golay (SG) smoothing derivatives. This article discusses the implementation and optimization of fourth-order gap derivatives (GDs) as an alternative to SG derivatives for processing infrared spectra before multivariate calibration.
Abstract: Gap derivatives approximate the analytical derivative by calculating finite differences of spectra without curve fitting. Gap derivatives offer an advantage of tunability for spectral data, as the distance (gap) over which this finite difference is calculated can be varied. Gap selection is a compromise between signal attenuation, noise amplification, and spectral resolution. A method and discussion of the importance of fourth derivative gap selections are presented as well as a comparison to SG preprocessing and lower-order GDs in the context of multivariate calibration. In most cases, the study found that optimized GDs led to calibration models performing comparably to or better than SG derivatives, and that optimized fourth-order GDs behaved similarly to matched filters. (Publisher abstract modified)
Main Term(s): Forensic sciences
Index Term(s): Blood/body fluid analysis; Evidence identification; Hair and fiber analysis; Investigative techniques; NIJ grant-related documents; Spectroscopy
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