A comparative investigation of two handheld near-IR spectrometers for direct forensic examination of fibres in-situ
Rashed, Hamad S. and Mishra, Puneet and Nordon, Alison and Palmer, David S. and Baker, Matthew J. (2021) A comparative investigation of two handheld near-IR spectrometers for direct forensic examination of fibres in-situ. Vibrational Spectroscopy, 113. 103205. ISSN 0924-2031 (https://doi.org/10.1016/j.vibspec.2020.103205)
Preview |
Text.
Filename: Rashed_eta_VS_2021_A_comparative_investigation_of_two_handheld_near_IR_spectrometers.pdf
Accepted Author Manuscript License: Download (2MB)| Preview |
Abstract
Fibres comparison in forensic science play a significant role in solving different crimes. Worldwide the most common textile fibre materials (fabrics) found at crimes scenes are cotton, polyester, denim, polypropylene, polycotton, and viscose. These fabrics are the focus of this study. The textile fabrics were examined by two handheld near-infrared (NIR) spectrometers, SCIO® by Consumer Physics and NIRscan Nano by Texas Instruments, for in situ comparisons of fibres, demonstrating capability at a crime scene. Spectral differences were apparent between both spectrometers due to the complementary wavelengths, SCIO interrogates the third overtone region (740 – 1070 nm) and NIRscan Nano interrogates the first and second overtone regions (900 – 1700 nm). A SCIO and NIRscan Nano data were pre-processed to eliminate noise and smooth the data for input to machine learning classifiers. The data were pre-processed and modelled by PRFFECTv2 software, and showed good predictive accuracy, with accuracy, sensitivity and specificity in the range 78-100% for the best binary classification models (one class versus others) and within the range 65-100% for the best multi-class classification models. This paper presents for the first time the use of small handheld spectrometers coupled with the Random Forest (RF) algorithm to classify fibre material for forensic comparison purposes in a fast, rapid, and non-destructive manner that is ideally suited for direct analysis at the crime scene.
ORCID iDs
Rashed, Hamad S., Mishra, Puneet, Nordon, Alison ORCID: https://orcid.org/0000-0001-6553-8993, Palmer, David S. ORCID: https://orcid.org/0000-0003-4356-9144 and Baker, Matthew J. ORCID: https://orcid.org/0000-0003-2362-8581;-
-
Item type: Article ID code: 75114 Dates: DateEvent31 March 2021Published4 January 2021Published Online22 December 2020AcceptedSubjects: Science > Chemistry Department: Faculty of Science > Pure and Applied Chemistry Depositing user: Pure Administrator Date deposited: 21 Jan 2021 13:28 Last modified: 27 Nov 2024 16:28 URI: https://strathprints.strath.ac.uk/id/eprint/75114