2020
DOI: 10.1016/j.meatsci.2019.107970
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Preliminary investigation into the use of Raman spectroscopy for the verification of Australian grass and grain fed beef

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Cited by 22 publications
(18 citation statements)
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“…The PCA in this study was additionally able to identify and use more spectral features including 1288, 1296 and 1307 cm −1 ; this may be due to different preprocessing techniques being utilised on the data. The PLS‐DA presented in this paper also highlights the key spectral features that can successfully discriminate between production systems 1066, 1130, 1301, 1440 and 1658 cm −1 ; these spectral differences are more in line with the previous work [ 9 ] and indicate the PCA in this study may be utilising more spectral data than needed.…”
Section: Resultssupporting
confidence: 85%
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“…The PCA in this study was additionally able to identify and use more spectral features including 1288, 1296 and 1307 cm −1 ; this may be due to different preprocessing techniques being utilised on the data. The PLS‐DA presented in this paper also highlights the key spectral features that can successfully discriminate between production systems 1066, 1130, 1301, 1440 and 1658 cm −1 ; these spectral differences are more in line with the previous work [ 9 ] and indicate the PCA in this study may be utilising more spectral data than needed.…”
Section: Resultssupporting
confidence: 85%
“…Whereas previous research into discriminating between production systems has occurred through PCA, [ 9 ] the PLS‐DA provides a clearer separation of and a lower risk of misclassification as more LV are used. Logan et al [ 9 ] identified spectral peaks at 1069, 1127, 1301, 1445 and 1658 cm −1 ; similarly, the PCA in this investigation identified the spectral features at 1065, 1131, 1299, 1440 and 1658 cm −1 . The PCA in this study was additionally able to identify and use more spectral features including 1288, 1296 and 1307 cm −1 ; this may be due to different preprocessing techniques being utilised on the data.…”
Section: Resultsmentioning
confidence: 99%
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