Name
Abstract | ||
|---|---|---|
In patients with life-threatening illnesses, the metabolic production and disposal of lactate are impaired, which leads to a build-up of blood lactate. In critical care units, the changes in lactate levels are measured through intermittent, invasive, blood sampling and in vitro assay. Continuous monitoring is lacking, yet such monitoring could allow early assessment of severity and prognosis to guide therapy. Currently, there is no routine means to measure lactate levels continuously, particularly non-invasively. The motivation of this study was to understand the interaction of lactate with light in the Near Infra Red (NIR) region of the electromagnetic spectrum. This was to create an opportunity to explore the possibility of a non-invasive sensing technology to monitor lactate continuously.In vitro studies were performed using solution samples with varying concentration levels of sodium lactate in isotonic Phosphate Buffer Solution (PBS) at constant pH (7.4). These samples were prepared using stoichiometric solution compositions and spectra for each sample were taken using a state-of-the-art spectrometer in the NIR region. The spectra were then analysed qualitatively by 2D correlation analysis, which identified the regions of interest. Further analysis of these regions using linear regression at four randomly selected wavelengths showed bathochromic shifts, which, moreover, showed systematic variation correlating with lactate concentration. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/EMBC.2019.8857833 | 2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
Field | DocType | Volume |
Computer vision,Bathochromic shift,Computer science,Near-infrared spectroscopy,Isotonic,Artificial intelligence,Sodium lactate,Chromatography,Blood sampling,Correlation analysis,Phosphate buffered saline,Near infra red | Conference | 2019 |
ISSN | Citations | PageRank |
1557-170X | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nystha Baishya | 1 | 0 | 1.01 |
| Karthik Budidha | 2 | 0 | 1.01 |
| Mohammadhossein Mamouei | 3 | 0 | 1.01 |
| Meha Qassem | 4 | 0 | 0.68 |
| Pankaj Vadgama | 5 | 0 | 1.01 |
| P A Kyriacou | 6 | 20 | 16.60 |