Comparison of Mid-Infrared Handheld and Benchtop Spectrometers to Detect <i>Staphylococcus epidermidis</i> in Bone Grafts

Bone analyses using mid-infrared spectroscopy are gaining popularity, especially with handheld spectrometers that enable on-site testing as long as the data quality meets standards. In order to diagnose <i>Staphylococcus epidermidis</i> in human bone grafts, this study was carried out to...

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Bibliographic Details
Main Authors: Richard Lindtner, Alexander Wurm, Katrin Kugel, Julia Kühn, David Putzer, Rohit Arora, Débora Cristina Coraça-Huber, Philipp Zelger, Michael Schirmer, Jovan Badzoka, Christoph Kappacher, Christian Wolfgang Huck, Johannes Dominikus Pallua
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Bioengineering
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Online Access:https://www.mdpi.com/2306-5354/10/9/1018
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Summary:Bone analyses using mid-infrared spectroscopy are gaining popularity, especially with handheld spectrometers that enable on-site testing as long as the data quality meets standards. In order to diagnose <i>Staphylococcus epidermidis</i> in human bone grafts, this study was carried out to compare the effectiveness of the Agilent 4300 Handheld Fourier-transform infrared with the Perkin Elmer Spectrum 100 attenuated-total-reflectance infrared spectroscopy benchtop instrument. The study analyzed 40 non-infected and 10 infected human bone samples with <i>Staphylococcus epidermidis</i>, collecting reflectance data between 650 cm<sup>−1</sup> and 4000 cm<sup>−1</sup>, with a spectral resolution of 2 cm<sup>−1</sup> (Agilent 4300 Handheld) and 0.5 cm<sup>−1</sup> (Perkin Elmer Spectrum 100). The acquired spectral information was used for spectral and unsupervised classification, such as a principal component analysis. Both methods yielded significant results when using the recommended settings and data analysis strategies, detecting a loss in bone quality due to the infection. MIR spectroscopy provides a valuable diagnostic tool when there is a tissue shortage and time is of the essence. However, it is essential to conduct further research with larger sample sizes to verify its pros and cons thoroughly.
ISSN:2306-5354