Intrinsic Raman spectroscopy for quantitative biological spectroscopy part II: experimental applications.
We demonstrate the effectiveness of intrinsic Raman spectroscopy (IRS) at reducing errors caused by absorption and scattering. Physical tissue models, solutions of varying absorption and scattering coefficients with known concentrations of Raman scatterers, are studied. We show significant improvement in prediction error by implementing IRS to predict concentrations of Raman scatterers using both ordinary least squares regression (OLS) and partial least squares regression (PLS). In particular, we show that IRS provides a robust calibration model that does not increase in error when applied to samples with optical properties outside the range of calibration.
Bechtel
Kate L
KL
GR Harrison Spectroscopy Laboratory, Massachusetts Institute of Technology, 77 Massachusetts Avenue,Cambridge, MA 02139, USA.
Shih
Wei-Chuan
WC
Feld
Michael S
MS
D001704:Biopolymers / Q000737:chemistry*; D003198:Computer Simulation; D008027:Light; D008954:Models, Biological; D008956:Models, Chemical; D009391:Nephelometry and Turbidimetry / Q000379:methods*; D012542:Scattering, Radiation; D013059:Spectrum Analysis, Raman / Q000379:methods*
D001704:Biopolymers