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In-vivo quantification of lactate using Near Infrared reflectance spectroscopy

Baishya, N., Mamouei, M., Budidha, K. ORCID: 0000-0002-6329-8399, Qassem, M., Vadgama, P. and Kyriacou, P. A. ORCID: 0000-0002-2868-485X (2021). In-vivo quantification of lactate using Near Infrared reflectance spectroscopy. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, doi: 10.1109/EMBC46164.2021.9630235 ISSN 2694-0604

Abstract

Elevated lactate levels in blood (hyperlactatemia) are indications of hypoperfusion or sepsis in critical care conditions. Quantification and monitoring of this important marker is performed using intermittent blood sampling, which fails to provide a complete scenario to aid clinicians in diagnosis. The feasibility of Near Infrared (NIR) Spectroscopy as an alternative to state-of-the-art techniques in critical care environments for non-invasive and continuous monitoring of lactate has previously been established. Nevertheless, the challenge lies in translating this research from bench to bedside monitoring. For this reason, a pilot investigation was carried out with a portable NIR spectrometer, where spectra in the range of 900-1300 nm were collected from 8 healthy human volunteers undertaking a high intensity incremental exercise protocol for lactate monitoring. This paper reports on the measurement set-up, spectra acquisition and analysis of diffuse NIR reflectance spectra of varying concentrations of lactate. The results obtained by 2D correlation analysis and linear regression are promising and show that the wavelengths 923 nm, 1047 nm, 1142 nm, 1233 nm, 1280 nm and 1330 nm are significant for lactate concentration determination in the NIR region. This provides the necessary confidence for using NIR sensor technology for lactate detection in critical care.

Publication Type: Conference or Workshop Item (Paper)
Additional Information: © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Publisher Keywords: Reflectivity, Spectroscopy, Translational research, Protocols, Wavelength measurement, Linear regression, Tools
Subjects: R Medicine > RC Internal medicine
T Technology > TA Engineering (General). Civil engineering (General)
Departments: School of Mathematics, Computer Science & Engineering > Engineering > Electrical & Electronic Engineering
Project Input:
Project IDFunder NameFunder ID
UNSPECIFIEDEngineering and Phys- ical Sciences Research CouncilUNSPECIFIED
Date available in CRO: 20 Dec 2021 14:32
Date deposited: 20 December 2021
Date of first online publication: 9 December 2021
URI: https://openaccess.city.ac.uk/id/eprint/27323
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