Raman Spectroscopy for Non-Invasive Characterization of Ocular Tissue

Potential for Detection of Biological Molecules

Roel J. Erckens, Massoud Motamedi, Wayne F. March, James P. Wicksted

Research output: Contribution to journalArticle

33 Citations (Scopus)

Abstract

The ability of Raman spectroscopy to remotely characterize ocular tissues using a rapid fibre-optic-based system was explored in this study. An argon ion laser operating at 514.5 nm and a charge-coupled-device-based Raman system were used. Raman spectra from aqueous humour specimens of rabbits and humans, as well as spectra from biological molecules obtained through fresh excised rabbit corneas, were obtained. Prominent peaks were observed which qualitatively matched the known locations of biological molecular peaks such as glucose, lactate and urea. In the rabbit aqueous humour spectra, peak positions were also observed indicative of amino acids and proteins. Raman spectra were also obtained from the rabbit lens showing peak positions indicative of amide I and III modes, sulphydryl and CH stretching modes and amino acids. This study demonstrated that it may be possible to characterize ocular tissue structures and to determine in a qualitative manner the presence of various biological molecules in aqueous humour by means of a Raman-based fibre optic instrument.

Original languageEnglish (US)
Pages (from-to)293-299
Number of pages7
JournalJournal of Raman Spectroscopy
Volume28
Issue number5
StatePublished - May 1997

Fingerprint

Fiber optics
Raman spectroscopy
Raman scattering
Amino acids
Tissue
Amino Acids
Molecules
Argon
Amides
Charge coupled devices
Urea
Stretching
Glucose
Lenses
Lactic Acid
Ions
Proteins
Lasers

ASJC Scopus subject areas

  • Spectroscopy

Cite this

Raman Spectroscopy for Non-Invasive Characterization of Ocular Tissue : Potential for Detection of Biological Molecules. / Erckens, Roel J.; Motamedi, Massoud; March, Wayne F.; Wicksted, James P.

In: Journal of Raman Spectroscopy, Vol. 28, No. 5, 05.1997, p. 293-299.

Research output: Contribution to journalArticle

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