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Journal of Near Infrared Spectroscopy
Volume 12 Issue 1, Pages 29–36 (2004)

 
Quantitative in-line analysis in supercritical CO2 using fibre-optic NIR spectroscopy and multivariate calibration: a potential method for monitoring continuous flow processes
J. Bürck,a,* G. Wiegand,b S. Roth,a H. Mathieua and K. Krämera
aInstitut für Instrumentelle Analytik (IFIA), Forschungszentrum Karlsruhe GmbH in der Helmholtz-Gemeinschaft, PO Box 3640, D-76021 Karlsruhe, Germany
bInstitut für Technische Chemie – Chemisch-Physikalische Verfahren (ITC-CPV), Forschungszentrum Karlsruhe GmbH in der Helmholtz-Gemeinschaft, PO Box 3640, D-76021 Karlsruhe, Germany
ABSTRACT:
A set-up for fibre-optical in-line near infrared spectroscopic monitoring of hydrocarbons in supercritical CO2 has been developed, which can be operated under flow-through conditions. It consists of a high-pressure optical cell, which is adapted to an FT-NIR spectrometer via a fibre-optic interface. NIR spectra of squalane in supercritical CO2 have been measured for varying concentration, temperature and pressure conditions. A partial least squares (PLS) regression model was developed with a calibration set of 36 samples spanning the 0–32 × 10#0150;3 g cm#0150;3 squalane concentration range and with CO2 densities between 0.62#0150;0.86 g cm#0150;3. Based on the corresponding absorbance data in the 4900#0150;4200 cm#0150;1 spectral range, squalane and CO2 were modelled with standard deviations of 0.24#0150;10#0150;3 and 3.8 × 10#0150;3 g cm#0150;3, respectively. Comparable standard deviations were obtained by validating the model with independent test samples. The developed calibration models allow for the in-line quantification of both constituents under varying temperature and pressure conditions from a single spectral measurement. The results obtained encourage the use of NIR spectroscopy/PLS calibration for fast in-line analysis of continuous flow extraction processes for the deoiling of metal parts based on supercritical CO2.

Keywords: NIR, fibre-optic spectrophotometry, squalane, supercritical CO2, PLS regression