Detecting Pre-Analytically Delayed Blood Samples for Laboratory Diagnostics Using Raman Spectroscopy

In this proof-of-principle study, we systematically studied the potential of Raman spectroscopy for detecting pre-analytical delays in blood serum samples. Spectra from 330 samples from a liver cirrhosis cohort were acquired over the course of eight days, stored one day at room temperature, and stor...

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Main Authors: Pascal Hunold, Markus Fischer, Carsten Olthoff, Peter W. Hildebrand, Thorsten Kaiser, René Staritzbichler
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:International Journal of Molecular Sciences
Subjects:
Online Access:https://www.mdpi.com/1422-0067/24/9/7853
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author Pascal Hunold
Markus Fischer
Carsten Olthoff
Peter W. Hildebrand
Thorsten Kaiser
René Staritzbichler
author_facet Pascal Hunold
Markus Fischer
Carsten Olthoff
Peter W. Hildebrand
Thorsten Kaiser
René Staritzbichler
author_sort Pascal Hunold
collection DOAJ
description In this proof-of-principle study, we systematically studied the potential of Raman spectroscopy for detecting pre-analytical delays in blood serum samples. Spectra from 330 samples from a liver cirrhosis cohort were acquired over the course of eight days, stored one day at room temperature, and stored subsequently at 4 °C. The spectra were then used to train Convolutional Neural Networks (CNN) to predict the delay to sample examination. We achieved 90% accuracy for binary classification of the serum samples in the groups “without delay” versus “delayed”. Spectra recorded on the first day could be distinguished clearly from all subsequent measurements. Distinguishing between spectra taken in the range from the second to the last day seems to be possible as well, but currently, with an accuracy of approximately 70% only. Importantly, filtering out the fluorescent background significantly reduces the precision of detection.
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spelling doaj.art-ffed899d43b5419da0eec485060264d62023-11-17T23:01:30ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672023-04-01249785310.3390/ijms24097853Detecting Pre-Analytically Delayed Blood Samples for Laboratory Diagnostics Using Raman SpectroscopyPascal Hunold0Markus Fischer1Carsten Olthoff2Peter W. Hildebrand3Thorsten Kaiser4René Staritzbichler5Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University Hospital Leipzig, 04103 Leipzig, GermanyInstitute for Medical Physics and Biophysics, Leipzig University, 04107 Leipzig, GermanyInstitute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University Hospital Leipzig, 04103 Leipzig, GermanyInstitute for Medical Physics and Biophysics, Leipzig University, 04107 Leipzig, GermanyInstitute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University Hospital Leipzig, 04103 Leipzig, GermanyInstitute for Medical Physics and Biophysics, Leipzig University, 04107 Leipzig, GermanyIn this proof-of-principle study, we systematically studied the potential of Raman spectroscopy for detecting pre-analytical delays in blood serum samples. Spectra from 330 samples from a liver cirrhosis cohort were acquired over the course of eight days, stored one day at room temperature, and stored subsequently at 4 °C. The spectra were then used to train Convolutional Neural Networks (CNN) to predict the delay to sample examination. We achieved 90% accuracy for binary classification of the serum samples in the groups “without delay” versus “delayed”. Spectra recorded on the first day could be distinguished clearly from all subsequent measurements. Distinguishing between spectra taken in the range from the second to the last day seems to be possible as well, but currently, with an accuracy of approximately 70% only. Importantly, filtering out the fluorescent background significantly reduces the precision of detection.https://www.mdpi.com/1422-0067/24/9/7853laboratory medicine diagnosticspreclinical delayssample agequality assuranceRaman spectroscopy
spellingShingle Pascal Hunold
Markus Fischer
Carsten Olthoff
Peter W. Hildebrand
Thorsten Kaiser
René Staritzbichler
Detecting Pre-Analytically Delayed Blood Samples for Laboratory Diagnostics Using Raman Spectroscopy
International Journal of Molecular Sciences
laboratory medicine diagnostics
preclinical delays
sample age
quality assurance
Raman spectroscopy
title Detecting Pre-Analytically Delayed Blood Samples for Laboratory Diagnostics Using Raman Spectroscopy
title_full Detecting Pre-Analytically Delayed Blood Samples for Laboratory Diagnostics Using Raman Spectroscopy
title_fullStr Detecting Pre-Analytically Delayed Blood Samples for Laboratory Diagnostics Using Raman Spectroscopy
title_full_unstemmed Detecting Pre-Analytically Delayed Blood Samples for Laboratory Diagnostics Using Raman Spectroscopy
title_short Detecting Pre-Analytically Delayed Blood Samples for Laboratory Diagnostics Using Raman Spectroscopy
title_sort detecting pre analytically delayed blood samples for laboratory diagnostics using raman spectroscopy
topic laboratory medicine diagnostics
preclinical delays
sample age
quality assurance
Raman spectroscopy
url https://www.mdpi.com/1422-0067/24/9/7853
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