Rapid analysis of disease state in liquid human serum combining infrared spectroscopy and “digital drying”

Sala, Alexandra; Spalding, Katie E.; Ashton, Katherine M.; Board, Ruth; Butler, Holly J.; Dawson, Timothy P.; Harris, Dean A.; Hughes, Caryn S.; Jenkins, Cerys A.; Jenkinson, Michael D.; Palmer, David S.; Smith, Benjamin R.; Thornton, Cathy; Baker, Matthew J.

doi:10.1002/jbio.202000118

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Rapid analysis of disease state in liquid human serum combining infrared spectroscopy and “digital drying”

Alexandra Sala

, Katie E. Spalding, Katherine M. Ashton, Ruth Board, Holly J. Butler, Timothy P. Dawson, Dean A. Harris, Caryn S. Hughes, Cerys A. Jenkins, Michael D. Jenkinson, David S. Palmer, Benjamin R. Smith, Cathy Thornton

, Matthew J. Baker

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...

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Published in:	Journal of Biophotonics
ISSN:	1864-063X 1864-0648
Published:	Wiley 2020
Online Access:	Check full text
URI:	https://cronfa.swan.ac.uk/Record/cronfa54465

first_indexed	2020-06-12T19:09:02Z
last_indexed	2023-01-11T14:32:31Z
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spelling	2022-12-06T15:10:28.1838124 v2 54465 2020-06-12 Rapid analysis of disease state in liquid human serum combining infrared spectroscopy and “digital drying” c71a7a4be7361094d046d312202bce0c 0000-0002-5153-573X Cathy Thornton Cathy Thornton true false 2020-06-12 MEDS 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. Journal Article Journal of Biophotonics 13 9 Wiley 1864-063X 1864-0648 1 9 2020 2020-09-01 10.1002/jbio.202000118 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University Engineering and Physical Sciences Research Council. Grant Number: EP/L505080/1 2022-12-06T15:10:28.1838124 2020-06-12T13:49:46.3612714 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Alexandra Sala 0000-0001-6417-9706 1 Katie E. Spalding 2 Katherine M. Ashton 3 Ruth Board 4 Holly J. Butler 5 Timothy P. Dawson 6 Dean A. Harris 7 Caryn S. Hughes 8 Cerys A. Jenkins 9 Michael D. Jenkinson 10 David S. Palmer 11 Benjamin R. Smith 12 Cathy Thornton 0000-0002-5153-573X 13 Matthew J. Baker 14 54465__17747__bd6f872f04974e909980f906b45503cb.pdf jbio.202000118.pdf 2020-07-22T13:14:17.4524374 Output 2878109 application/pdf Version of Record true This is an open access article under the terms of the Creative Commons Attribution License true eng https://creativecommons.org/licenses/by/4.0/
title	Rapid analysis of disease state in liquid human serum combining infrared spectroscopy and “digital drying”
spellingShingle	Rapid analysis of disease state in liquid human serum combining infrared spectroscopy and “digital drying” Cathy Thornton
title_short	Rapid analysis of disease state in liquid human serum combining infrared spectroscopy and “digital drying”
title_full	Rapid analysis of disease state in liquid human serum combining infrared spectroscopy and “digital drying”
title_fullStr	Rapid analysis of disease state in liquid human serum combining infrared spectroscopy and “digital drying”
title_full_unstemmed	Rapid analysis of disease state in liquid human serum combining infrared spectroscopy and “digital drying”
title_sort	Rapid analysis of disease state in liquid human serum combining infrared spectroscopy and “digital drying”
author_id_str_mv	c71a7a4be7361094d046d312202bce0c
author_id_fullname_str_mv	c71a7a4be7361094d046d312202bce0c_***_Cathy Thornton
author	Cathy Thornton
author2	Alexandra Sala Katie E. Spalding Katherine M. Ashton Ruth Board Holly J. Butler Timothy P. Dawson Dean A. Harris Caryn S. Hughes Cerys A. Jenkins Michael D. Jenkinson David S. Palmer Benjamin R. Smith Cathy Thornton Matthew J. Baker
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container_title	Journal of Biophotonics
container_volume	13
container_issue	9
publishDate	2020
institution	Swansea University
issn	1864-063X 1864-0648
doi_str_mv	10.1002/jbio.202000118
publisher	Wiley
college_str	Faculty of Medicine, Health and Life Sciences
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hierarchy_top_title	Faculty of Medicine, Health and Life Sciences
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hierarchy_parent_title	Faculty of Medicine, Health and Life Sciences
department_str	Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
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description	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.
published_date	2020-09-01T07:54:50Z
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Rapid analysis of disease state in liquid human serum combining infrared spectroscopy and “digital drying”

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