Nondestructive surface analysis for material research using fiber optic vibrational spectroscopy

Natalia I. Afanasyeva

doi:10.1117/12.450165

27 November 2001 Nondestructive surface analysis for material research using fiber optic vibrational spectroscopy

Natalia I. Afanasyeva

Proceedings Volume 4491, Subsurface and Surface Sensing Technologies and Applications III; (2001) https://doi.org/10.1117/12.450165
Event: International Symposium on Optical Science and Technology, 2001, San Diego, CA, United States

Abstract

The advanced methods of fiber optical vibrational spectroscopy (FOVS) has been developed in conjunction with interferometer and low-loss, flexible, and nontoxic optical fibers, sensors, and probes. The combination of optical fibers and sensors with Fourier Transform (FT) spectrometer has been used in the range from 2.5 to 12micrometers . This technique serves as an ideal diagnostic tool for surface analysis of numerous and various diverse materials such as complex structured materials, fluids, coatings, implants, living cells, plants, and tissue. Such surfaces as well as living tissue or plants are very difficult to investigate in vivo by traditional FT infrared or Raman spectroscopy methods. The FOVS technique is nondestructive, noninvasive, fast (15 sec) and capable of operating in remote sampling regime (up to a fiber length of 3m). Fourier transform infrared (FTIR) and Raman fiber optic spectroscopy operating with optical fibers has been suggested as a new powerful tool. These techniques are highly sensitive techniques for structural studies in material research and various applications during process analysis to determine molecular composition, chemical bonds, and molecular conformations. These techniques could be developed as a new tool for quality control of numerous materials as well as noninvasive biopsy.

Citation Download Citation

Natalia I. Afanasyeva "Nondestructive surface analysis for material research using fiber optic vibrational spectroscopy", Proc. SPIE 4491, Subsurface and Surface Sensing Technologies and Applications III, (27 November 2001); https://doi.org/10.1117/12.450165

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