Nondestructive assessment of engineered cartilage constructs using near-infrared spectroscopy

Doruk Baykal, Onyi Irrechukwu, Ping-Chang Lin, Kate Fritton, Richard G. Spencer, Nancy Pleshko

Research output: Contribution to journalArticle

38 Citations (Scopus)

Abstract

Noninvasive assessment of engineered cartilage properties would enable better control of the developing tissue towards the desired structural and compositional endpoints through optimization of the biochemical environment in real time. The objective of this study is to assess the matrix constituents of cartilage using near-infrared spectroscopy (NIRS), a technique that permits full-depth assessment of developing engineered tissue constructs. Mid-infrared (mid-IR) and NIR data were acquired from full-thickness cartilage constructs that were grown up to 4 weeks with and without mechanical stimulation. Correlations were assessed between established mid-IR peak areas that reflect the relative amount of collagen (amide I, amide II, and 1338 cm-1) and proteoglycan (PG), (850 cm-1), and the integrated area of the NIR water absorbance at 5190 cm-1. This analysis was performed to evaluate whether simple assessment of the NIR water absorbance could yield information about matrix development. It was found that an increase in the mid-IR PG absorbance at 850 cm-1 correlated with the area of the NIR water peak (Spearman's rho = 0.95, p < 0.0001). In the second analysis, a partial least squares method (PLS1) was used to assess whether an extended NIR spectral range (5400-3800 cm-1) could be utilized to predict collagen and proteoglycan content of the constructs based on mid-IR absorbances. A subset of spectra was randomly selected as an independent prediction set in this analysis. Average of the normalized root mean square errors of prediction of firstderivative NIR spectral models were 7% for 850 cm-1 (PG), 11% for 1338 cm-1 (collagen), 8% for amide II (collagen), and 8% for amide I (collagen). These results demonstrate the ability of NIRS to monitor macromolecular content of cartilage constructs and is the first step towards employing NIR to assess engineered cartilage in situ.

Original languageEnglish (US)
Pages (from-to)1160-1166
Number of pages7
JournalApplied Spectroscopy
Volume64
Issue number10
DOIs
StatePublished - Oct 1 2010
Externally publishedYes

Fingerprint

cartilage
Near infrared spectroscopy
Cartilage
collagens
Collagen
Proteoglycans
Amides
infrared spectroscopy
amides
Infrared radiation
Water
Tissue
water
root-mean-square errors
least squares method
matrices
predictions
stimulation
Mean square error
set theory

Keywords

  • Cartilage
  • FT-IR spectroscopy
  • Fourier transform infrared spectroscopy
  • Multivariate analysis
  • NIR spectroscopy
  • Near-mfrared spectroscopy
  • PLS
  • Partial least squares
  • Tissue engineering

ASJC Scopus subject areas

  • Instrumentation
  • Spectroscopy

Cite this

Baykal, D., Irrechukwu, O., Lin, P-C., Fritton, K., Spencer, R. G., & Pleshko, N. (2010). Nondestructive assessment of engineered cartilage constructs using near-infrared spectroscopy. Applied Spectroscopy, 64(10), 1160-1166. https://doi.org/10.1366/000370210792973604

Nondestructive assessment of engineered cartilage constructs using near-infrared spectroscopy. / Baykal, Doruk; Irrechukwu, Onyi; Lin, Ping-Chang; Fritton, Kate; Spencer, Richard G.; Pleshko, Nancy.

In: Applied Spectroscopy, Vol. 64, No. 10, 01.10.2010, p. 1160-1166.

Research output: Contribution to journalArticle

Baykal, D, Irrechukwu, O, Lin, P-C, Fritton, K, Spencer, RG & Pleshko, N 2010, 'Nondestructive assessment of engineered cartilage constructs using near-infrared spectroscopy', Applied Spectroscopy, vol. 64, no. 10, pp. 1160-1166. https://doi.org/10.1366/000370210792973604
Baykal, Doruk ; Irrechukwu, Onyi ; Lin, Ping-Chang ; Fritton, Kate ; Spencer, Richard G. ; Pleshko, Nancy. / Nondestructive assessment of engineered cartilage constructs using near-infrared spectroscopy. In: Applied Spectroscopy. 2010 ; Vol. 64, No. 10. pp. 1160-1166.
@article{c35a560ace1344979ec42b688990ef6e,
title = "Nondestructive assessment of engineered cartilage constructs using near-infrared spectroscopy",
abstract = "Noninvasive assessment of engineered cartilage properties would enable better control of the developing tissue towards the desired structural and compositional endpoints through optimization of the biochemical environment in real time. The objective of this study is to assess the matrix constituents of cartilage using near-infrared spectroscopy (NIRS), a technique that permits full-depth assessment of developing engineered tissue constructs. Mid-infrared (mid-IR) and NIR data were acquired from full-thickness cartilage constructs that were grown up to 4 weeks with and without mechanical stimulation. Correlations were assessed between established mid-IR peak areas that reflect the relative amount of collagen (amide I, amide II, and 1338 cm-1) and proteoglycan (PG), (850 cm-1), and the integrated area of the NIR water absorbance at 5190 cm-1. This analysis was performed to evaluate whether simple assessment of the NIR water absorbance could yield information about matrix development. It was found that an increase in the mid-IR PG absorbance at 850 cm-1 correlated with the area of the NIR water peak (Spearman's rho = 0.95, p < 0.0001). In the second analysis, a partial least squares method (PLS1) was used to assess whether an extended NIR spectral range (5400-3800 cm-1) could be utilized to predict collagen and proteoglycan content of the constructs based on mid-IR absorbances. A subset of spectra was randomly selected as an independent prediction set in this analysis. Average of the normalized root mean square errors of prediction of firstderivative NIR spectral models were 7{\%} for 850 cm-1 (PG), 11{\%} for 1338 cm-1 (collagen), 8{\%} for amide II (collagen), and 8{\%} for amide I (collagen). These results demonstrate the ability of NIRS to monitor macromolecular content of cartilage constructs and is the first step towards employing NIR to assess engineered cartilage in situ.",
keywords = "Cartilage, FT-IR spectroscopy, Fourier transform infrared spectroscopy, Multivariate analysis, NIR spectroscopy, Near-mfrared spectroscopy, PLS, Partial least squares, Tissue engineering",
author = "Doruk Baykal and Onyi Irrechukwu and Ping-Chang Lin and Kate Fritton and Spencer, {Richard G.} and Nancy Pleshko",
year = "2010",
month = "10",
day = "1",
doi = "10.1366/000370210792973604",
language = "English (US)",
volume = "64",
pages = "1160--1166",
journal = "Applied Spectroscopy",
issn = "0003-7028",
publisher = "Society for Applied Spectroscopy",
number = "10",

}

TY - JOUR

T1 - Nondestructive assessment of engineered cartilage constructs using near-infrared spectroscopy

AU - Baykal, Doruk

AU - Irrechukwu, Onyi

AU - Lin, Ping-Chang

AU - Fritton, Kate

AU - Spencer, Richard G.

AU - Pleshko, Nancy

PY - 2010/10/1

Y1 - 2010/10/1

N2 - Noninvasive assessment of engineered cartilage properties would enable better control of the developing tissue towards the desired structural and compositional endpoints through optimization of the biochemical environment in real time. The objective of this study is to assess the matrix constituents of cartilage using near-infrared spectroscopy (NIRS), a technique that permits full-depth assessment of developing engineered tissue constructs. Mid-infrared (mid-IR) and NIR data were acquired from full-thickness cartilage constructs that were grown up to 4 weeks with and without mechanical stimulation. Correlations were assessed between established mid-IR peak areas that reflect the relative amount of collagen (amide I, amide II, and 1338 cm-1) and proteoglycan (PG), (850 cm-1), and the integrated area of the NIR water absorbance at 5190 cm-1. This analysis was performed to evaluate whether simple assessment of the NIR water absorbance could yield information about matrix development. It was found that an increase in the mid-IR PG absorbance at 850 cm-1 correlated with the area of the NIR water peak (Spearman's rho = 0.95, p < 0.0001). In the second analysis, a partial least squares method (PLS1) was used to assess whether an extended NIR spectral range (5400-3800 cm-1) could be utilized to predict collagen and proteoglycan content of the constructs based on mid-IR absorbances. A subset of spectra was randomly selected as an independent prediction set in this analysis. Average of the normalized root mean square errors of prediction of firstderivative NIR spectral models were 7% for 850 cm-1 (PG), 11% for 1338 cm-1 (collagen), 8% for amide II (collagen), and 8% for amide I (collagen). These results demonstrate the ability of NIRS to monitor macromolecular content of cartilage constructs and is the first step towards employing NIR to assess engineered cartilage in situ.

AB - Noninvasive assessment of engineered cartilage properties would enable better control of the developing tissue towards the desired structural and compositional endpoints through optimization of the biochemical environment in real time. The objective of this study is to assess the matrix constituents of cartilage using near-infrared spectroscopy (NIRS), a technique that permits full-depth assessment of developing engineered tissue constructs. Mid-infrared (mid-IR) and NIR data were acquired from full-thickness cartilage constructs that were grown up to 4 weeks with and without mechanical stimulation. Correlations were assessed between established mid-IR peak areas that reflect the relative amount of collagen (amide I, amide II, and 1338 cm-1) and proteoglycan (PG), (850 cm-1), and the integrated area of the NIR water absorbance at 5190 cm-1. This analysis was performed to evaluate whether simple assessment of the NIR water absorbance could yield information about matrix development. It was found that an increase in the mid-IR PG absorbance at 850 cm-1 correlated with the area of the NIR water peak (Spearman's rho = 0.95, p < 0.0001). In the second analysis, a partial least squares method (PLS1) was used to assess whether an extended NIR spectral range (5400-3800 cm-1) could be utilized to predict collagen and proteoglycan content of the constructs based on mid-IR absorbances. A subset of spectra was randomly selected as an independent prediction set in this analysis. Average of the normalized root mean square errors of prediction of firstderivative NIR spectral models were 7% for 850 cm-1 (PG), 11% for 1338 cm-1 (collagen), 8% for amide II (collagen), and 8% for amide I (collagen). These results demonstrate the ability of NIRS to monitor macromolecular content of cartilage constructs and is the first step towards employing NIR to assess engineered cartilage in situ.

KW - Cartilage

KW - FT-IR spectroscopy

KW - Fourier transform infrared spectroscopy

KW - Multivariate analysis

KW - NIR spectroscopy

KW - Near-mfrared spectroscopy

KW - PLS

KW - Partial least squares

KW - Tissue engineering

UR - http://www.scopus.com/inward/record.url?scp=78049513792&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=78049513792&partnerID=8YFLogxK

U2 - 10.1366/000370210792973604

DO - 10.1366/000370210792973604

M3 - Article

C2 - 20925987

AN - SCOPUS:78049513792

VL - 64

SP - 1160

EP - 1166

JO - Applied Spectroscopy

JF - Applied Spectroscopy

SN - 0003-7028

IS - 10

ER -