Fully automated and AI-assisted optical fiber sensing system for multiplexed and continuous brain monitoring
Author(s)
Type
Journal Article
Abstract
Continuous and comprehensive brain monitoring is crucial for timely identification of changes or deterioration in brain function, enabling prompt intervention and personalized treatments. However, existing brain monitoring systems struggle to offer continuous and accurate monitoring of multiple brain biomarkers simultaneously. This study introduces a multiplexed optical fiber sensing system for continuous and simultaneous monitoring of six cerebrospinal fluid (CSF) biomarkers using tip-functionalized optical fibers and computational algorithms. Optimized machine learning models are developed and integrated for real-time spectra analysis, allowing for precise and continuous readout of biomarker concentrations. The developed machine learning-assisted fiber optic sensing system exhibits high sensitivity (0.04, 0.38, 0.67, 2.62, 0.0064, 0.33 I/I0 change per units of temperature, dissolved oxygen, glucose, pH, Na+, Ca2+, respectively), reversibility, and selectivity toward target biomarkers with a total diameter less than 2.5 mm. By monitoring brain metabolic and ionic dynamics, this system accurately identified brain physiology deterioration and recovery using ex vivo traumatic brain injury models. Additionally, the system successfully tracked biomarker fluctuations in clinical CSF samples with high accuracy (R2 > 0.93), demonstrating excellent sensitivity and selectivity in reflecting disease progression in real time. These findings underscore the enormous potential of automated and multiplexed optical fiber sensing systems for intraoperative and postoperative monitoring of brain physiologies.
Date Issued
2024-12-27
Date Acceptance
2024-10-25
Citation
ACS Sensors, 2024, 9 (12), pp.6605-6620
ISSN
2379-3694
Publisher
American Chemical Society
Start Page
6605
End Page
6620
Journal / Book Title
ACS Sensors
Volume
9
Issue
12
Copyright Statement
© 2024 The Authors. Published by American Chemical Society. This publication is licensed under CC-BY 4.0 .
License URL
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/39629823
Subjects
brain monitoring
Chemistry
Chemistry, Analytical
Chemistry, Multidisciplinary
fiber optics
fluorescent sensor
INJURY
INTRACRANIAL-PRESSURE
machinelearning modeling
MECHANISMS
METABOLISM
multiplexed sensing
Nanoscience & Nanotechnology
PH
Physical Sciences
Science & Technology
Science & Technology - Other Topics
SENSORS
Publication Status
Published
Coverage Spatial
United States
Date Publish Online
2024-12-04