Paper
18 January 2005 Near-infrared Raman spectroscopy detects lung cancer
Zhiwei Huang, Harvey Lui, Annette McWilliams, Stephen Lam, David I. McLean, Haishan Zeng
Author Affiliations +
Abstract
This work was to explore near-infrared (NIR) Raman spectroscopy for distinguishing tumor from normal bronchial tissue. A rapid NIR Raman system was used for tissue Raman studies. High-quality Raman spectra in the 700-1800 cm-1 range can be acquired from human bronchial tissues in vitro. Raman spectra differed significantly between normal and malignant tumor tissue, with tumors showing increased nucleic acid, tryptophan, phenylalanine signals and decreased phospholipids, proline, and valine signals than normal tissue. Raman spectral shape differences between normal and tumor tissue were also observed particularly in the spectral ranges of 1000-1100, 1200-1400, and 1500-1700 cm-1, which are related to the protein and lipid conformations and CH stretching modes in nucleic acids. The ratio of Raman intensities at 1445 cm-1 to 1655 cm-1 provided good differentiation between normal and malignant bronchial tissue, suggesting that NIR Raman spectroscopy may have a significant potential for the noninvasive diagnosis of lung cancer in vivo based on optical evaluation of biomolecules.
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Zhiwei Huang, Harvey Lui, Annette McWilliams, Stephen Lam, David I. McLean, and Haishan Zeng "Near-infrared Raman spectroscopy detects lung cancer", Proc. SPIE 5630, Optics in Health Care and Biomedical Optics: Diagnostics and Treatment II, (18 January 2005); https://doi.org/10.1117/12.577419
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KEYWORDS
Tissues

Raman spectroscopy

Tumors

Lung cancer

Tissue optics

Near infrared

Proteins

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