Raman spectroscopy combined with multivariate analysis techniques as a potential tool for semen investigation

Zufang Huang; Jinyong Lin; Gang Cao; Xiwen Chen; Yongzeng Li; Shangyuan Feng; Juqiang Lin; Jing Wang; Hongxin Lin; Rong Chen

doi:10.1117/12.2068836

17 September 2014 Raman spectroscopy combined with multivariate analysis techniques as a potential tool for semen investigation

Zufang Huang, Jinyong Lin, Gang Cao, Xiwen Chen, Yongzeng Li, Shangyuan Feng, Juqiang Lin, Jing Wang, Hongxin Lin, Rong Chen

Author Affiliations +

Proceedings Volume 9230, Twelfth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2014); 92301X (2014) https://doi.org/10.1117/12.2068836
Event: Twelfth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2014), 2014, Wuhan, China

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.

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Zufang Huang, Jinyong Lin, Gang Cao, Xiwen Chen, Yongzeng Li, Shangyuan Feng, Juqiang Lin, Jing Wang, Hongxin Lin, and Rong Chen "Raman spectroscopy combined with multivariate analysis techniques as a potential tool for semen investigation", Proc. SPIE 9230, Twelfth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2014), 92301X (17 September 2014); https://doi.org/10.1117/12.2068836

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KEYWORDS

Raman spectroscopy

Statistical analysis

Principal component analysis

Micro raman spectroscopy

Diagnostics

Plasma

Biological research

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