Measuring differences in compositional properties of bone tissue by confocal Raman spectroscopy.
Measuring differences in compositional properties of bone tissue by confocal Raman spectroscopy.
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DOI:
10.1007/s00223-011-9497-x
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发表时间:
2011-08
影响因子:
4.2
通讯作者:
Mahadevan-Jansen, Anita
中科院分区:
文献类型:
--
作者:
Nyman, Jeffry S.;Makowski, Alexander J.;Patil, Chetan A.;Masui, T. Philip;O'Quinn, Elizabeth C.;Bi, Xiaohong;Guelcher, Scott A.;Nicollela, Daniel P.;Mahadevan-Jansen, Anita
The full range of fracture risk determinants arise from each hierarchical level comprising the organization of bone. Raman spectroscopy is one tool capable of characterizing the collagen and mineral phases at a near sub-micron length scale, but the ability of Raman spectra to distinguish compositional differences of bone is not well defined. Therefore, we analyzed multiple Raman peak intensities and peak ratios to characterize their ability to distinguish between the typically less mineralized osteonal tissue and the more mineralized interstitial tissue in intra-cortical human bone. To further assess origins of variance, we collected Raman spectra from embedded specimens and for 2 orientations of cut. Per specimen, Raman peak intensities or ratios were averaged among multiple sites within 5 osteons and 5 neighboring interstitial tissue. The peak ratios of ν1 phosphate (PO4) to Proline or Amide III detected the highest increases of 15.4% or 12.5%, respectively, in composition from osteonal to interstitial tissue. The coefficient of variance (COV) was less than 5% for each as opposed to a COV of ∼8% for the traditional ν1PO4/Amide I, a peak ratio that varied the most between transverse and longitudinal cuts for each tissue type. Although embedding affected Raman peaks, it did not obscure differences in most peak ratios related to mineralization between the 2 tissue types. In studies with limited sample size but sufficient number of Raman spectra per specimen for spatial averaging, ν1PO4/Amide III or ν1PO4/Proline is the Raman property that is most likely to detect a compositional difference between experimental groups.
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影响因子:
2.4
作者:
Bi, Xiaohong;Patil, Chetan A.;Nyman, Jeffry S.
通讯作者:
Nyman, Jeffry S.
影响因子:
2.4
作者:
Hofmann, Tobias;Heyroth, Frank;Raum, Kay
通讯作者:
Raum, Kay
DOI:
10.1007/978-3-642-02649-2_14
发表时间:
2010-01-01
期刊:
EMERGING RAMAN APPLICATIONS AND TECHNIQUES IN BIOMEDICAL AND PHARMACEUTICAL FIELDS
影响因子:
--
作者:
Morris, Michael D.
通讯作者:
Morris, Michael D.
影响因子:
4.1
作者:
Kazanci, M.;Wagner, H. D.;Fratzl, P.
通讯作者:
Fratzl, P.
影响因子:
6.2
作者:
Gourion-Arsiquaud, Samuel;Burket, Jayme C.;Boskey, Adele L.
通讯作者:
Boskey, Adele L.