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Investigating the feasibility of spatially offset Raman spectroscopy for in‐vivo monitoring of bone healing in rat calvarial defect models
Author(s) -
Dooley Max,
McLaren Jane,
Rose Felicity R. A. J.,
Notingher Ioan
Publication year - 2020
Publication title -
journal of biophotonics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.877
H-Index - 66
eISSN - 1864-0648
pISSN - 1864-063X
DOI - 10.1002/jbio.202000190
Subject(s) - in vivo , biomedical engineering , raman spectroscopy , skull , partial least squares regression , cadaver , rat model , materials science , chemistry , anatomy , optics , medicine , biology , computer science , physics , microbiology and biotechnology , machine learning , endocrinology
A wide range of biomaterials and tissue‐engineered scaffolds are being investigated to support and stimulate bone healing in animal models. Using phantoms and rat cadavers, we investigated the feasibility of using spatially offset Raman spectroscopy (SORS) to monitor changes in collagen concentration at levels similar to those expected to occur in vivo during bone regeneration (0‐0.84 g/cm 3 ). A partial least squares (PLS) regression model was developed to quantify collagen concentration in plugs consisting of mixtures or collagen and hydroxyapatite (predictive power of ±0.16 g/cm 3 ). The PLS model was then applied on SORS spectra acquired from rat cadavers after implanting the collagen: hydroxyapatite plugs in drilled skull defects. The PLS model successfully predicting the profile of collagen concentration, but with an increased predictive error of ±0.30 g/cm 3 . These results demonstrate the potential of SORS to quantify collagen concentrations, in the range relevant to those occurring during new bone formation.