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Sensors 2018, 18(3), 709; https://doi.org/10.3390/s18030709

Cavity-Enhanced Raman Spectroscopy for Food Chain Management

1
Laboratory for Gas Sensors, Department of Microsystems Engineering–IMTEK, University of Freiburg, Georges-Köhler-Allee 102, 79110 Freiburg, Germany
2
Fraunhofer Institute for Physical Measurement Techniques IPM, Heidenhofstraße 8, 79110 Freiburg, Germany
3
Department of Computer Science, Universidad Autónoma de Madrid, Francisco Tomás y Valiente 11, 28049 Madrid, Spain
*
Author to whom correspondence should be addressed.
Received: 24 January 2018 / Revised: 13 February 2018 / Accepted: 23 February 2018 / Published: 27 February 2018
(This article belongs to the Special Issue Spectroscopy Based Sensors)
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Abstract

Comprehensive food chain management requires the monitoring of many parameters including temperature, humidity, and multiple gases. The latter is highly challenging because no low-cost technology for the simultaneous chemical analysis of multiple gaseous components currently exists. This contribution proposes the use of cavity enhanced Raman spectroscopy to enable online monitoring of all relevant components using a single laser source. A laboratory scale setup is presented and characterized in detail. Power enhancement of the pump light is achieved in an optical resonator with a Finesse exceeding 2500. A simulation for the light scattering behavior shows the influence of polarization on the spatial distribution of the Raman scattered light. The setup is also used to measure three relevant showcase gases to demonstrate the feasibility of the approach, including carbon dioxide, oxygen and ethene. View Full-Text
Keywords: Raman spectroscopy; cavity; optical resonator; food chain management; ethene Raman spectroscopy; cavity; optical resonator; food chain management; ethene
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Sandfort, V.; Goldschmidt, J.; Wöllenstein, J.; Palzer, S. Cavity-Enhanced Raman Spectroscopy for Food Chain Management. Sensors 2018, 18, 709.

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