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Cerebral Microdialysate Metabolite Monitoring using Mid-infrared Spectroscopy
Author(s) -
Farah Alimagham,
Dan Hutter,
Núria Marco-García,
Emma Gould,
Victoria H. Highland,
Anna Huefner,
Susan Giorgi-Coll,
Monica J Killen,
Agnieszka Zakrzewska,
Stephen R. Elliott,
Keri L.H. Carpenter,
Peter J. Hutchinson,
Tanya Hutter
Publication year - 2021
Publication title -
analytical chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.117
H-Index - 332
eISSN - 1520-6882
pISSN - 0003-2700
DOI - 10.1021/acs.analchem.1c01149
Subject(s) - microdialysis , chemistry , infrared spectroscopy , quantum cascade laser , reagent , absorbance , spectrum analyzer , metabolite , spectroscopy , analytical chemistry (journal) , traumatic brain injury , chromatography , extracellular , biochemistry , cascade , psychology , physics , organic chemistry , quantum mechanics , psychiatry , electrical engineering , engineering
The brains of patients suffering from traumatic brain-injury (TBI) undergo dynamic chemical changes in the days following the initial trauma. Accurate and timely monitoring of these changes is of paramount importance for improved patient outcome. Conventional brain-chemistry monitoring is performed off-line by collecting and manually transferring microdialysis samples to an enzymatic colorimetric bedside analyzer every hour, which detects and quantifies the molecules of interest. However, off-line, hourly monitoring means that any subhourly neurochemical changes, which may be detrimental to patients, go unseen and thus untreated. Mid-infrared (mid-IR) spectroscopy allows rapid, reagent-free, molecular fingerprinting of liquid samples, and can be easily integrated with microfluidics. We used mid-IR transmission spectroscopy to analyze glucose, lactate, and pyruvate, three relevant brain metabolites, in the extracellular brain fluid of two TBI patients, sampled via microdialysis. Detection limits of 0.5, 0.2, and 0.1 mM were achieved for pure glucose, lactate, and pyruvate, respectively, in perfusion fluid using an external cavity-quantum cascade laser (EC-QCL) system with an integrated transmission flow-cell. Microdialysates were collected hourly, then pooled (3-4 h), and measured consecutively using the standard ISCUSflex analyzer and the EC-QCL system. There was a strong correlation between the compound concentrations obtained using the conventional bedside analyzer and the acquired mid-IR absorbance spectra, where a partial-least-squares regression model was implemented to compute concentrations. This study demonstrates the potential utility of mid-IR spectroscopy for continuous, automated, reagent-free, and online monitoring of the dynamic chemical changes in TBI patients, allowing a more timely response to adverse brain metabolism and consequently improving patient outcomes.

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