Point-of-care, continuous assessment of multiple biomarkers using long wavelength near infrared spectroscopy for dialysis
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Accepted Version
Date
2025
Authors
Krishnamoorthy, Shree
Messina, Walter
Kiely, Cian
Rossberg, Nicola
Visentin, Andrea
Burke, Ray
Andersson-Engels, Stefan
Journal Title
Journal ISSN
Volume Title
Publisher
Optica Publishing Group
Published Version
Abstract
Dialysis is a crucial treatment for chronic kidney disease (CKD). In this routine treatment quality care can be ensured by continuous, nondestructive monitoring to avoid clinical complications like sepsis. Long wavelength near-infrared (LWNIR) spectroscopy shows promise in providing continuous, point-of-care monitoring. This paper demonstrates the application of LWNIR spectroscopy for measuring multiple biomarkers—specifically lactate and urea— in a microfluidic system simulating a channel for dialysis. The spectroscopy calibration is based on liquid phantoms containing various interfering biomolecules. Chronic kidney disease is treated with routine dialysis. Routine dialysis benefits from continuous monitoring of key biomarkers like lactate and urea in its effectiveness and early warning of complications like sepsis in patients. Current standard of care includes laboratory measurements using a sample. Long wavelength near-infrared (LWNIR) spectroscopy could potentially provide the optimal solution for non-destructive, continuous and point-of-care monitoring in peritoneal dialysis systems. However, LWNIR spectroscopy suffers today from poor calibration and specificity because of spectrally interfering biomolecules. In this work, we develop a novel method of calibrating machine learning algorithm with liquid biophantoms, in place of multiple patient samples to provide wide variability due of selected spectrally interfering molecules. Using this liquid biophantoms model we see two distinct sets of wavelengths that are relevant to determining biomarker concentration with and without the interferers. The model trained with the high variability liquid biophantoms is used to determine biomarker levels spiked serum in a microfluidic system simulating a channel for dialysis.
Description
Keywords
Long wavelength near infrared spectroscopy , Hypoxia , Dialysis , Sepsis , Transmission spectroscopy , Machine learning
Citation
Krishnamoorthy, S., Messina, W., Kiely, C., Rossberg, N., Visentin, A., Burke, R. and Andersson-Engels, S. (2025) 'Point-of-care, continuous assessment of multiple biomarkers using long wavelength near infrared spectroscopy for dialysis', European Conferences on Biomedical Optics 2025, Technical Digest Series, paper W5B.6 (3pp). https://doi.org/10.1364/ECBO.2025.W5B.6
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© 2025, the Authors.