Surface-enhanced raman scattering for the detection of polycystic ovary syndrome

Ali Momenpour, Patrícia D.A. Lima, Yi An Chen, Chii Ruey Tzeng, Benjamin K. Tsang, Hanan Anis

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Polycystic ovary syndrome (PCOS) is a multi-factorial heterogeneous syndrome that affects many women of reproductive age. This work demonstrates how the surface-enhanced Raman scattering (SERS) technique can be used to differentiate between PCOS and non-PCOS patients. We determine that the use of SERS, in conjunction with partial least squares (PLS) and principal component analysis (PCA), allows us to detect PCOS in patient samples. Although the role of chemerin in the pathogenesis of PCOS patients is not clear, this work enables us to measure their chemerin levels using the PLS regression method.

Original languageEnglish
Pages (from-to)801-817
Number of pages17
JournalBiomedical Optics Express
Volume9
Issue number2
DOIs
Publication statusPublished - Feb 1 2018

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ovaries
Raman Spectrum Analysis
Polycystic Ovary Syndrome
Raman spectra
Least-Squares Analysis
Principal Component Analysis
Ovary
pathogenesis
principal components analysis
regression analysis

ASJC Scopus subject areas

  • Biotechnology
  • Atomic and Molecular Physics, and Optics

Cite this

Surface-enhanced raman scattering for the detection of polycystic ovary syndrome. / Momenpour, Ali; Lima, Patrícia D.A.; Chen, Yi An; Tzeng, Chii Ruey; Tsang, Benjamin K.; Anis, Hanan.

In: Biomedical Optics Express, Vol. 9, No. 2, 01.02.2018, p. 801-817.

Research output: Contribution to journalArticle

Momenpour, Ali ; Lima, Patrícia D.A. ; Chen, Yi An ; Tzeng, Chii Ruey ; Tsang, Benjamin K. ; Anis, Hanan. / Surface-enhanced raman scattering for the detection of polycystic ovary syndrome. In: Biomedical Optics Express. 2018 ; Vol. 9, No. 2. pp. 801-817.
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