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21 September 2017 Discrimination of human and nonhuman blood using Raman spectroscopy with self-reference algorithm
Haiyi Bian, Peng Wang, Jun Wang, Huancai Yin, Yubing Tian, Pengli Bai, Xiaodong Wu, Ning Wang, Yuguo Tang, Jing Gao
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Journal of Biomedical Optics, Vol. 22, Issue 9, 095006 (September 2017). https://doi.org/10.1117/1.JBO.22.9.095006
Abstract
We report a self-reference algorithm to discriminate human and nonhuman blood by calculating the ratios of identification Raman peaks to reference Raman peaks and choosing appropriate threshold values. The influence of using different reference peaks and identification peaks was analyzed in detail. The Raman peak at 1003  cm−1 was proved to be a stable reference peak to avoid the influencing factors, such as the incident laser intensity and the amount of sample. The Raman peak at 1341  cm−1 was found to be an efficient identification peak, which indicates that the difference between human and nonhuman blood results from the C–H bend in tryptophan. The comparison between self-reference algorithm and partial least square method was made. It was found that the self-reference algorithm not only obtained the discrimination results with the same accuracy, but also provided information on the difference of chemical composition. In addition, the performance of self-reference algorithm whose true positive rate is 100% is significant for customs inspection to avoid genetic disclosure and forensic science.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE) 1083-3668/2017/$25.00 © 2017 SPIE
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Haiyi Bian, Peng Wang, Jun Wang, Huancai Yin, Yubing Tian, Pengli Bai, Xiaodong Wu, Ning Wang, Yuguo Tang, and Jing Gao "Discrimination of human and nonhuman blood using Raman spectroscopy with self-reference algorithm," Journal of Biomedical Optics 22(9), 095006 (21 September 2017). https://doi.org/10.1117/1.JBO.22.9.095006
Received: 8 May 2017; Accepted: 5 September 2017; Published: 21 September 2017
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Cited by 10 scholarly publications.
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KEYWORDS
Blood
Raman spectroscopy
Forensic science
Inspection
Molecules
Liquids
Biomedical optics
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