Subsurface sensing of biomedical tissues using a miniaturized Raman probe: Study of thin-layered model samples

Yuko S. Yamamoto, Yusuke Oshima, Hideyuki Shinzawa, Takashi Katagiri, Yuji Matsuura, Yukihiro Ozaki, Hidetoshi Sato

Research output: Contribution to journalArticlepeer-review

31 Citations (Scopus)


A ball lens hollow-fiber Raman probe (BHRP) is a powerful tool for in vivo nondestructive subsurface analysis of biomedical tissues in a living body. It has confocal-like optical properties, but its collection volume is rather large in comparison with that of a conventional confocal Raman system. Therefore, the obtained Raman spectra have contributions from the upper and lower layers at different rates depending on the thickness of the upper layer when the measurement point is close to the boundary surface of the two layers. In the present study, we describe a methodology to extract quantitative information about the thickness of the subsurface layer structure by using a BHRP combined with the partial least-square regression (PLSR) analysis. The simulation study indicates that distribution of the collection efficiency in the collection volume of the BHRP is similar to a Gaussian distribution. The empirical study suggests that the PLSR model built with only a principal component (PC) 1 based on the linearized depth data gives good prediction.

Original languageEnglish
Pages (from-to)8-13
Number of pages6
JournalAnalytica Chimica Acta
Issue number1
Publication statusPublished - 2008 Jun 30


  • Biomedical tissues
  • Chemometrics
  • Miniaturized Raman probe
  • Raman spectroscopy
  • Subsurface analysis

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry
  • Environmental Chemistry
  • Spectroscopy


Dive into the research topics of 'Subsurface sensing of biomedical tissues using a miniaturized Raman probe: Study of thin-layered model samples'. Together they form a unique fingerprint.

Cite this