Creation of a Real-time Blood Chemistry Analyzer using In-Line Raman Resonance Spectroscopy

Abstract

In cases of extreme trauma, patients may be placed on extracorporeal life support or extracorporeal membrane oxygenation (ECMO). While on life support or ECMO, patients are closely monitored for hypothermia, acidosis, and coagulopathy the so-called trauma lethal triad. The current gold standard for measuring acidosis and other blood components is to test a small sample withdrawn from the patient using a blood gas analyzer. Blood analysis systems tend to be large, require perishable reagents and as such may not be feasible in limited environments or while treating a casualty en route. Here, we proposed a more compact method for analyzing blood components using Raman Resonance Spectroscopy (RRS) of whole blood within the ECMO circuit. The aims of the study were to (1) to identify the RRS signatures of hemoglobin-bound blood gases, lactate, and other metabolites in whole blood and (2) to develop the analysis tools to quantify the concentration of blood gas constituents based on the RRS measurements. The results of this study showed that peaks in the whole blood Raman spectra generally correlated with the measured levels of blood components. Additional data is required for the development of a neural network that could adequately characterize these spectra for use in medical monitoring.

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Document Details

Document Type
Technical Report
Publication Date
Nov 19, 2021
Accession Number
AD1206686

Entities

People

  • Andrew Peitzsch
  • April Cadena
  • Ashley Dacy
  • Jacob Glaser
  • Jacqueline-rae Villanueva
  • Justin P Bequette
  • Katie Geary
  • Robert Brothers
  • Senay Tewolde
  • William Dangelo

Organizations

  • Naval Medical Research Center

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Blood
  • Blood Chemistry
  • Blood Gases
  • Cardiovascular System
  • Chemistry
  • Health Services
  • Machine Learning
  • Oxygenation
  • Raman Scattering
  • Raman Spectra
  • Raman Spectroscopy
  • Risk Analysis
  • Signal Processing
  • Spectra
  • Spectroscopy
  • Supervised Machine Learning

Readers

  • Molecular and Cellular Biochemistry
  • Nanoscale Plasmonic Nanotechnology
  • Trauma or Military Medicine

Technology Areas

  • AI & ML