Theoretical Chemistry Accounts

, Volume 130, Issue 4, pp 1261–1273

Overview of the use of theory to understand infrared and Raman spectra and images of biomolecules: colorectal cancer as an example

Authors

  • J. A. A. C. Piva
    • Laboratory of Biomedical Vibrational SpectroscopyInstitute of Research and Development, Universidade do Vale do Paraíba, UniVaP
  • J. L. R. Silva
    • Laboratory of Biomedical Vibrational SpectroscopyInstitute of Research and Development, Universidade do Vale do Paraíba, UniVaP
  • L. Raniero
    • Laboratory of Biomedical Vibrational SpectroscopyInstitute of Research and Development, Universidade do Vale do Paraíba, UniVaP
    • Laboratory of Biomedical Vibrational SpectroscopyInstitute of Research and Development, Universidade do Vale do Paraíba, UniVaP
  • H. G. Bohr
    • Department of Physics, Quantum Protein Center, QuPTechnical University of Denmark
    • Laboratory of Biomedical Vibrational SpectroscopyInstitute of Research and Development, Universidade do Vale do Paraíba, UniVaP
    • Department of Physics, Quantum Protein Center, QuPTechnical University of Denmark
    • Division of Functional Genome AnalysisGerman Cancer Research Center (DKFZ)
Regular Article

DOI: 10.1007/s00214-011-1063-0

Cite this article as:
Piva, J.A.A.C., Silva, J.L.R., Raniero, L. et al. Theor Chem Acc (2011) 130: 1261. doi:10.1007/s00214-011-1063-0

Abstract

In this work, we present the state of the art in the use of theory (first principles, molecular dynamics, and statistical methods) for interpreting and understanding the infrared (vibrational) absorption and Raman scattering spectra. It is discussed how they can be used in combination with purely experimental studies to generate infrared and Raman images of biomolecules in biologically relevant solutions, including fluids, cells, and both healthy and diseased tissue. The species and conformers of the individual biomolecules are in many cases not stable structures, species, or conformers in the isolated state or in non-polar non-strongly interacting solvents. Hence, it is better to think of the collective behavior of the system. The collective interaction is not the simple sum of the individual parts. Here, we will show that this is also not true for the infrared and Raman spectra and images and that the models used must take this into account. Hence, the use of statistical methods to interpret and understand the infrared and Raman spectra and images from biological tissues, cells, parts of cells, fluids, and even whole organism should change accordingly. As the species, conformers and structures of biomolecules are very sensitive to their environment and aggregation state, the combined use of infrared and Raman spectroscopy and imaging and theoretical simulations are clearly fields, which can benefit from their joint and mutual development.

Keywords

InfraredRamanFirst principlesMolecular mechanicsStatistical methodsPrincipal component analysisLinear discriminant analysisCluster analysisInfrared imagingRaman imagingImage generationColorectal cancer diagnosis

Abbreviations

KS-DFT

Kohn–Sham density functional theory

PCA

Principal component analysis

LDA

Linear discriminant analysis

APT

Atomic polar tensor

VA

Vibrational absorption

IR

Infrared

RS

Raman scattering

Copyright information

© Springer-Verlag 2011