Analytical and Bioanalytical Chemistry

, Volume 402, Issue 1, pp 397–404

Toward the quantification of the 13CO2/12CO2 ratio in exhaled mouse breath with mid-infrared hollow waveguide gas sensors

  • Andreas Wilk
  • Felicia Seichter
  • Seong-Soo Kim
  • Erhan Tütüncü
  • Boris Mizaikoff
  • Josef A. Vogt
  • Ulrich Wachter
  • Peter Radermacher
Original Paper

DOI: 10.1007/s00216-011-5524-z

Cite this article as:
Wilk, A., Seichter, F., Kim, SS. et al. Anal Bioanal Chem (2012) 402: 397. doi:10.1007/s00216-011-5524-z

Abstract

Mouse sepsis models are used to gain insight into the complex processes involved with patients suffering from glucose metabolism disorders. Measuring the expiratory release of 13CO2 after administering stable labeled 13C6-glucose enables assessment of the in vivo integrity and functionality of key metabolic processes. In the present study, we demonstrate that Fourier transform infrared spectroscopy operating in the mid-infrared spectral regime (2–20 μm) combined with hollow waveguide gas sensing modules simultaneously serving as a miniaturized gas cell and as a waveguide are capable of quantitatively monitoring 13CO2 enrichment levels in low volume mouse breath samples.

Figure

Mouse intensive care unit (MICU) with patient and IR signature of the time progression for 12CO2/13CO2 in exhaled mouse breath

Keywords

FTIR spectroscopyMid-infrared gas sensorHollow waveguideMouse sepsis modelGlucose/insulin metabolism disorder13CO2 enrichment

Abbreviations used

CLS

Classical least squares

FTIR

Fourier transform infrared

GC/MS

Gas chromatography/mass spectrometry

HWG

Hollow waveguide

IRMS

Isotope ratio mass spectrometry

LARA

Laser-assisted ratio analysis

MCT

Mercury–cadmium–telluride

MICU

Mouse intensive care unit

MIR

Mid-infrared

MS

Mass spectrometry

NIR

Near-infrared

NDIRS

Non-dispersive isotope selective infrared spectroscopy

NMR

Nuclear magnetic resonance

OAPM

Off-axis parabolic mirror

PLS

Partial least squares

QCL

Quantum cascade laser

SIM

Selected-ion-monitoring

S/N

Signal-to-noise ratio

Copyright information

© Springer-Verlag 2011

Authors and Affiliations

  • Andreas Wilk
    • 1
  • Felicia Seichter
    • 1
  • Seong-Soo Kim
    • 1
  • Erhan Tütüncü
    • 1
  • Boris Mizaikoff
    • 1
  • Josef A. Vogt
    • 2
  • Ulrich Wachter
    • 2
  • Peter Radermacher
    • 2
  1. 1.Institute of Analytical and Bioanalytical ChemistryUniversity of UlmUlmGermany
  2. 2.Klinik für Anästhesiologie, Sektion Anästhesiologische Pathophysiologie und VerfahrensentwicklungUniversitätsklinikum UlmUlmGermany