Paper
17 September 2014 Raman spectroscopy of human saliva for acute myocardial infarction detection
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Proceedings Volume 9230, Twelfth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2014); 92300J (2014) https://doi.org/10.1117/12.2068876
Event: Twelfth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2014), 2014, Wuhan, China
Abstract
Raman spectroscopy is a rapidly non-invasive technique with great potential for biomedical research. The aim of this study was to evaluate the feasibility of using Raman spectroscopy of human saliva for acute myocardial infarction (AMI) detection. Raman spectroscopy measurements were performed on two groups of saliva samples: one group from patients (n=30) with confirmed AMI and the other group from healthy controls (n=31). The diagnostic performance for differentiating AMI saliva from normal saliva was evaluated by multivariate statistical analysis. The combination of principal component analysis (PCA) and linear discriminate analysis (LDA) of the measured Raman spectra separated the spectral features of the two groups into two distinct clusters with little overlaps, rendering the sensitivity of 80.0% and specificity of 80.6%. The results from this exploratory study demonstrated that Raman spectroscopy of human saliva can serve as a potentially clinical tool for rapid AMI detection and screening.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Maowen Chen, Yuanxiang Chen, Shanshan Wu, Wei Huang, Jinyong Lin, Guo-Xing Weng, and Rong Chen "Raman spectroscopy of human saliva for acute myocardial infarction detection", Proc. SPIE 9230, Twelfth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2014), 92300J (17 September 2014); https://doi.org/10.1117/12.2068876
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KEYWORDS
Raman spectroscopy

Diagnostics

Remote sensing

Principal component analysis

Statistical analysis

Control systems

Analytical research

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