Intrinsic Raman spectroscopy for quantitative biological spectroscopy part I: theory and simulations.

Wei-Chuan Shih, Kate L Bechtel, Michael S Feld
Author Information
  1. Wei-Chuan Shih: GR Harrison Spectroscopy Laboratory, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA.

Abstract

We present a novel technique, intrinsic Raman spectroscopy (IRS), to correct turbidity-induced Raman spectral distortions, resulting in the intrinsic Raman spectrum that would be observed in the absence of scattering and absorption. We develop an expression relating the observed and intrinsic Raman spectra through diffuse reflectance using the photon migration depiction of light transport. Numerical simulations are employed to validate the theoretical results and study the dependence of this expression on sample size and elastic scattering anisotropy.

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Grants

  1. P41 RR002594/NCRR NIH HHS
  2. P41 RR002594-23/NCRR NIH HHS
  3. P41-RR02594/NCRR NIH HHS

MeSH Term

Biopolymers
Computer Simulation
Light
Models, Biological
Models, Chemical
Nephelometry and Turbidimetry
Scattering, Radiation
Spectrum Analysis, Raman

Chemicals

Biopolymers

Word Cloud

Created with Highcharts 10.0.0RamanintrinsicspectroscopyobservedscatteringexpressionsimulationspresentnoveltechniqueIRScorrectturbidity-inducedspectraldistortionsresultingspectrumabsenceabsorptiondeveloprelatingspectradiffusereflectanceusingphotonmigrationdepictionlighttransportNumericalemployedvalidatetheoreticalresultsstudydependencesamplesizeelasticanisotropyIntrinsicquantitativebiologicalpartI:theory

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