Title: Broadband laser-based mid-infrared spectroscopy employing a quantum cascade detector for milk protein analysis
Authors: Dabrowska, Alicja  
David, Mauro 
Freitag, Stephan  
Andrews, Aaron Maxwell  
Strasser, Gottfried  
Hinkov, Borislav  
Schwaighofer, Andreas  
Lendl, Bernhard  
Category: Original Research Article
Issue Date: 7-Oct-2021
Citation: 
Dabrowska, A., David, M., Freitag, S., Andrews, A. M., Strasser, G., Hinkov, B., Schwaighofer, A., & Lendl, B. (2021). Broadband laser-based mid-infrared spectroscopy employing a quantum cascade detector for milk protein analysis. Sensors and Actuators B: Chemical, 350, 130873. https://doi.org/10.1016/j.snb.2021.130873
Journal: Sensors and Actuators B: Chemical 
ISSN: 0925-4005
Abstract: 
Mid-infrared chemical sensors based on quantum cascade technology offer a number of properties surpassing conventional spectrometric techniques. In this work, we combine a tunable quantum cascade laser with a spectrally tailored in-house fabricated quantum cascade detector (QCD) to realize broadband detection of aqueous samples for selective sensing of bovine milk proteins. The developed setup enables broadband spectroscopy covering more than 260 cm−1 and was employed to record absorbance spectra of the amide I and amide II bands of β-lactoglobulin, α-lactalbumin and casein. A detailed comparison indicates similar performance of the laser-based setup with its uncooled QCD as a high-end FTIR spectrometer equipped with a liquid nitrogen cooled mercury-cadmium-telluride (MCT) detector. Furthermore, we discuss the characteristics and benefits of the quantum cascade detector for application in laser-based mid-infrared sensor systems and compare its performance to other common mid-infrared detector types. In conclusion, the combination of QCDs with EC-QCLs opens up new possibilities for next-generation MIR liquid-phase chemical sensors featuring low noise and high dynamic range.
Keywords: Quantum cascade detector; Quantum cascade laser; Mid-infrared spectroscopy; Physical chemosensors; Milk protein analysis
DOI: 10.1016/j.snb.2021.130873
Organisation: E164-02-1 - Forschungsgruppe Prozessanalytik 
E362-01 - Forschungsbereich Optoelektronische Materialien 
License: CC BY 4.0 CC BY 4.0
Publication Type: Article
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