Illuminating the flesh of bone identification - An application of near infrared spectroscopy

Power, A, Chapman, J, Chandra, S, Roberts, J and Cozzolino, D 2018, 'Illuminating the flesh of bone identification - An application of near infrared spectroscopy', Vibrational Spectroscopy, vol. 98, pp. 64-68.


Document type: Journal Article
Collection: Journal Articles

Title Illuminating the flesh of bone identification - An application of near infrared spectroscopy
Author(s) Power, A
Chapman, J
Chandra, S
Roberts, J
Cozzolino, D
Year 2018
Journal name Vibrational Spectroscopy
Volume number 98
Start page 64
End page 68
Total pages 5
Publisher Elsevier
Abstract Near infrared (NIR) reflectance spectroscopy coupled with chemometric analysis was evaluated as a non-destructive tool to discriminate skull bone samples from different animal species. In total 70 skull bones from animals of three classes (mammalians, avian and reptiles) were scanned in the wavelength range between 950 to 1650 nm. Principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were used to analyse the NIR spectra of the skull samples. Correct classification rates of 96% and 81% were obtained for the classification of skull bone samples according to avian and mammalian classes, respectively. Overall, a 91% correct classification rate was obtained for the classification of skull samples according to the class (mammalian and avian). This study demonstrates the potential of NIR spectroscopy coupled with chemometric as data processing, as a means of a rapid, non-destructive classification technique for skull bone samples.
Subject Quality Assurance, Chemometrics, Traceability and Metrological Chemistry
Analytical Spectrometry
Keyword(s) Bones
Discrimination
Near infrared
Principal components
DOI - identifier 10.1016/j.vibspec.2018.07.011
Copyright notice © 2018 Elsevier B.V. All rights reserved.
ISSN 0924-2031
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 2 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 0 times in Scopus Article
Altmetric details:
Access Statistics: 11 Abstract Views  -  Detailed Statistics
Created: Thu, 06 Dec 2018, 10:39:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us