Reagent-free monitoring of multiple clinically relevant parameters in human blood plasma using a mid-infrared quantum cascade laser based sensor system
Standard
Reagent-free monitoring of multiple clinically relevant parameters in human blood plasma using a mid-infrared quantum cascade laser based sensor system. / Brandstetter, Markus; Sumalowitsch, Tamara; Genner, Andreas; Posch, Andreas E; Herwig, Christoph; Drolz, Andreas; Fuhrmann, Valentin; Perkmann, Thomas; Lendl, Bernhard.
in: ANALYST, Jahrgang 138, Nr. 14, 21.07.2013, S. 4022-8.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
Harvard
APA
Vancouver
Bibtex
}
RIS
TY - JOUR
T1 - Reagent-free monitoring of multiple clinically relevant parameters in human blood plasma using a mid-infrared quantum cascade laser based sensor system
AU - Brandstetter, Markus
AU - Sumalowitsch, Tamara
AU - Genner, Andreas
AU - Posch, Andreas E
AU - Herwig, Christoph
AU - Drolz, Andreas
AU - Fuhrmann, Valentin
AU - Perkmann, Thomas
AU - Lendl, Bernhard
PY - 2013/7/21
Y1 - 2013/7/21
N2 - We present a semi-automated point-of-care (POC) sensor approach for the simultaneous and reagent-free determination of clinically relevant parameters in blood plasma. The portable sensor system performed direct mid-infrared (MIR) transmission measurements of blood plasma samples using a broadly tunable external-cavity quantum cascade laser source with high spectral power density. This enabled the use of a flow cell with a long path length (165 μm) which resulted in high signal-to-noise ratios and a rugged system, insensitive to clogging. Multivariate calibration models were built using well established Partial-Least-Squares (PLS) regression analysis. Selection of spectral pre-processing procedures was optimized by an automated evaluation algorithm. Several analytes, including glucose, lactate, triglycerides, cholesterol, total protein as well as albumin, were successfully quantified in routinely taken blood plasma samples from 67 critically ill patients. Although relying on a spectral range from 1030 cm(-1) to 1230 cm(-1), which is optimal for glucose and lactate but rather unusual for protein analysis, it was possible to selectively determine the albumin and total protein concentrations with sufficient accuracy for POC application.
AB - We present a semi-automated point-of-care (POC) sensor approach for the simultaneous and reagent-free determination of clinically relevant parameters in blood plasma. The portable sensor system performed direct mid-infrared (MIR) transmission measurements of blood plasma samples using a broadly tunable external-cavity quantum cascade laser source with high spectral power density. This enabled the use of a flow cell with a long path length (165 μm) which resulted in high signal-to-noise ratios and a rugged system, insensitive to clogging. Multivariate calibration models were built using well established Partial-Least-Squares (PLS) regression analysis. Selection of spectral pre-processing procedures was optimized by an automated evaluation algorithm. Several analytes, including glucose, lactate, triglycerides, cholesterol, total protein as well as albumin, were successfully quantified in routinely taken blood plasma samples from 67 critically ill patients. Although relying on a spectral range from 1030 cm(-1) to 1230 cm(-1), which is optimal for glucose and lactate but rather unusual for protein analysis, it was possible to selectively determine the albumin and total protein concentrations with sufficient accuracy for POC application.
KW - Algorithms
KW - Biosensing Techniques
KW - Calibration
KW - Humans
KW - Lasers, Semiconductor
KW - Least-Squares Analysis
KW - Plasma
KW - Point-of-Care Systems
KW - Spectrophotometry, Infrared
U2 - 10.1039/c3an00300k
DO - 10.1039/c3an00300k
M3 - SCORING: Journal article
C2 - 23678484
VL - 138
SP - 4022
EP - 4028
JO - ANALYST
JF - ANALYST
SN - 0003-2654
IS - 14
ER -
