Journal article 715 views 101 downloads
Rapid analysis of disease state in liquid human serum combining infrared spectroscopy and “digital drying”
Journal of Biophotonics, Volume: 13, Issue: 9
Swansea University Author:
Cathy Thornton
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DOI (Published version): 10.1002/jbio.202000118
Abstract
In recent years, the diagnosis of brain tumors has been investigated with attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy on dried human serum samples to eliminate spectral interferences of the water component, with promising results. This research evaluates ATR-FTIR o...
Published in: | Journal of Biophotonics |
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ISSN: | 1864-063X 1864-0648 |
Published: |
Wiley
2020
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Online Access: |
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URI: | https://cronfa.swan.ac.uk/Record/cronfa54465 |
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Abstract: |
In recent years, the diagnosis of brain tumors has been investigated with attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy on dried human serum samples to eliminate spectral interferences of the water component, with promising results. This research evaluates ATR-FTIR on both liquid and air-dried samples to investigate “digital drying” as an alternative approach for the analysis of spectra obtained from liquid samples. Digital drying approaches, consisting of water subtraction and least-squares method, have demonstrated a greater random forest (RF) classification performance than the air-dried spectra approach when discriminating cancer vs control samples, reaching sensitivity values higher than 93.0% and specificity values higher than 83.0%. Moreover, quantum cascade laser infrared (QCL-IR) based spectroscopic imaging is utilized on liquid samples to assess the implications of a deep-penetration light source on disease classification. The RF classification of QCL-IR data has provided sensitivity and specificity amounting to 85.1% and 75.3% respectively. |
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College: |
Faculty of Medicine, Health and Life Sciences |
Funders: |
Engineering and Physical Sciences Research Council. Grant Number: EP/L505080/1 |
Issue: |
9 |