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Proceedings Paper

Raman spectroscopy combined with multivariate analysis techniques as a potential tool for semen investigation
Author(s): Zufang Huang; Jinyong Lin; Gang Cao; Xiwen Chen; Yongzeng Li; Shangyuan Feng; Juqiang Lin; Jing Wang; Hongxin Lin; Rong Chen
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Paper Abstract

Molecular characterization of semen that can be used to provide an objective diagnosis of semen quality is still lacking. Raman spectroscopy measures vibrational modes of molecules, thus can be utilized to characterize biological fluids. Here, we employed Raman spectroscopy to characterize and compare normal and abnormal semen samples in the fingerprint region (400-1800cm-1). Multivariate analysis methods including principal component analysis (PCA) and partial least square-discriminant analysis (PLS-DA) were used for spectral analysis to differentiate between normal and abnormal semen samples. Compared with PCA-LDA analysis, PLS-DA improved the diagnostic results, showing a sensitivity of 77% and specificity of 73%. Furthermore, our preliminary quantitative analysis based on PLS algorithm demonstrated that spermatozoa concentration were relatively well predicted (R2=0.825). In conclusion, this study demonstrated that micro-Raman spectroscopy combined with multivariate methods can provide as a new diagnostic technique for semen analysis and differentiation between normal and abnormal semen samples.

Paper Details

Date Published: 17 September 2014
PDF: 11 pages
Proc. SPIE 9230, Twelfth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2014), 92301X (17 September 2014); doi: 10.1117/12.2068836
Show Author Affiliations
Zufang Huang, Fujian Normal Univ. (China)
Jinyong Lin, Fujian Normal Univ. (China)
Gang Cao, Fujian Normal Univ. (China)
Xiwen Chen, Fujian Normal Univ. (China)
Yongzeng Li, Fujian Normal Univ. (China)
Shangyuan Feng, Fujian Normal Univ. (China)
Juqiang Lin, Fujian Normal Univ. (China)
Jing Wang, Fujian Normal Univ. (China)
Hongxin Lin, Fujian Normal Univ. (China)
Rong Chen, Fujian Normal Univ. (China)

Published in SPIE Proceedings Vol. 9230:
Twelfth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2014)
Qingming Luo; Lihong V. Wang; Valery V. Tuchin, Editor(s)

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