Literature DB >> 30444516

In-line whole blood fractionation for Raman analysis of blood plasma.

Moritz Matthiae1, Xiaolong Zhu, Rodolphe Marie, Anders Kristensen.   

Abstract

Blood plasma evaluation has high significance in clinical diagnostics. Current schemes involve the preparation of blood plasma by centrifugation of whole blood followed by electrochemical or spectroscopic analysis. However, centrifugation is often too time-consuming for application in clinical emergency and point-of-care settings. We propose to combine microfluidic, instantaneous plasma fractionation with localized spectroscopic methods for in-line analysis. As an example, we present confocal Raman spectroscopy in fractionated plasma domains at two different Raman excitation wavelengths. Resonance Raman spectroscopy with laser excitation at 408 nm allows the specific detection of free hemoglobin in blood plasma at concentrations above 22 mg dl-1 (level of detection). Consequently, we are able to accurately resolve the range of clinical relevance regarding hemolysis. At near-infrared excitation (785 nm) we furthermore demonstrate the acquisition of characteristic Raman spectra of fractionated blood plasma in the microfluidic setting. These spectra can serve as starting point for a multi-parameter regression analysis to quantify a set of blood plasma parameters from a single Raman spectrum. The combined microfluidics and Raman spectroscopy method is non-destructive and has a whole blood consumption of less than 100 μl per hour. It thus allows for continuous in-line blood plasma monitoring.

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Year:  2019        PMID: 30444516     DOI: 10.1039/c8an01197d

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  1 in total

1.  Analyzing the serum of hemodialysis patients with end-stage chronic kidney disease by means of the combination of SERS and machine learning.

Authors:  Lyudmila A Bratchenko; Sahar Z Al-Sammarraie; Elena N Tupikova; Daria Y Konovalova; Peter A Lebedev; Valery P Zakharov; Ivan A Bratchenko
Journal:  Biomed Opt Express       Date:  2022-08-24       Impact factor: 3.562

  1 in total

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