Point-of-care, continuous assessment of multiple biomarkers using long wavelength near infrared spectroscopy for dialysis

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dc.contributor.authorKrishnamoorthy, Shreeen
dc.contributor.authorMessina, Walteren
dc.contributor.authorKiely, Cianen
dc.contributor.authorRossberg, Nicolaen
dc.contributor.authorVisentin, Andreaen
dc.contributor.authorBurke, Rayen
dc.contributor.authorAndersson-Engels, Stefanen
dc.contributor.funderResearch Irelanden
dc.contributor.funderEnterprise Irelanden
dc.date.accessioned2026-01-16T09:39:47Z
dc.date.available2026-01-16T09:39:47Z
dc.date.issued2025en
dc.description.abstractDialysis 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.en
dc.description.sponsorshipEnterprise Ireland (EI-CF20211693B)en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.articleidW5B.6en
dc.identifier.citationKrishnamoorthy, 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.6en
dc.identifier.doi10.1364/ecbo.2025.w5b.6en
dc.identifier.endpage3en
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/18400
dc.language.isoenen
dc.publisherOptica Publishing Groupen
dc.relation.ispartofEuropean Conference on Biomedical Optics 2025, München, Germany, 22–26 June 2025en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/Research Professorship Programme::Second-Term Funding/22/RP-2TF/10293/IE/Biophotonics@Tyndall phase 2 - Novel applications and techniques for in vivo optical imaging and spectroscopy/en
dc.rights© 2025, the Authors.en
dc.statusNot peer revieweden
dc.subjectLong wavelength near infrared spectroscopyen
dc.subjectHypoxiaen
dc.subjectDialysisen
dc.subjectSepsisen
dc.subjectTransmission spectroscopyen
dc.subjectMachine learningen
dc.titlePoint-of-care, continuous assessment of multiple biomarkers using long wavelength near infrared spectroscopy for dialysisen
dc.typeConference itemen
dc.typeproceedings-articleen
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