Rapid analysis of disease state in liquid human serum combining infrared spectroscopy and "digital drying"
© 2020 The Authors. Journal of Biophotonics published by WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim..
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2020 |
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| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:13 |
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| Enthalten in: |
Journal of biophotonics - 13(2020), 9 vom: 17. Sept., Seite e202000118 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Sala, Alexandra [VerfasserIn] |
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| Links: |
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| Themen: |
059QF0KO0R |
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| Anmerkungen: |
Date Completed 23.06.2021 Date Revised 23.06.2021 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1002/jbio.202000118 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM31086304X |
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| 520 | |a © 2020 The Authors. Journal of Biophotonics published by WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. | ||
| 520 | |a 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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| 700 | 1 | |a Board, Ruth |e verfasserin |4 aut | |
| 700 | 1 | |a Butler, Holly J |e verfasserin |4 aut | |
| 700 | 1 | |a Dawson, Timothy P |e verfasserin |4 aut | |
| 700 | 1 | |a Harris, Dean A |e verfasserin |4 aut | |
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| 700 | 1 | |a Palmer, David S |e verfasserin |4 aut | |
| 700 | 1 | |a Smith, Benjamin R |e verfasserin |4 aut | |
| 700 | 1 | |a Thornton, Catherine A |e verfasserin |4 aut | |
| 700 | 1 | |a Baker, Matthew J |e verfasserin |4 aut | |
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