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Development and Application of an Automated Raman Sensor for Bioprocess Monitoring: From the Laboratory to an Algae
Wiviane Wieser1,2, Antony Ali Assaf1, Benjamin Le Gouic3
1Nantes Université, CNRS, Oniris, GEPEA, UMR CNRS 6144, F-85000 La Roche-sur-Yon, France.
This study introduces an automated Raman spectroscopy sensor for real-time microalgae monitoring. This innovation allows for efficient tracking of microalgal physiology and intracellular molecules in production environments.
Area of Science:
- Biotechnology
- Spectroscopy
- Microalgal Cultivation
Background:
- Microalgae are a source of valuable bio-components with economic and environmental significance.
- Current microalgal production monitoring relies on powerful but user-limited sensors and analytical methods.
- There is a need for automated, accessible monitoring solutions for microalgal cultivation.
Purpose of the Study:
- To develop and evaluate an automated Raman spectroscopy-based sensor for online monitoring of microalgal production.
- To enable real-time tracking of microalgal physiological states and intracellular molecules.
- To provide a more accessible monitoring tool for both laboratory and industrial settings.
Main Methods:
- An in situ automated system was designed, featuring a light-tight optical chamber connected to a Raman probe.
- Microalgal cultures were routed to the chamber via a computer-controlled system of pipes, pumps, and valves.
- Over 4000 Raman spectra were collected and analyzed using statistical methods from *Parachlorella kessleri* cultures.
Main Results:
- The generated Raman spectra effectively reflected the physiological state of the microalgal cells.
- The developed sensor demonstrated the capability to monitor intracellular molecules of interest.
- The system proved effective in complex laboratory and industrial algal production environments.
Conclusions:
- The automated Raman spectroscopy sensor offers a viable solution for online monitoring of microalgal production.
- This technology can provide valuable insights into microalgal physiology and biochemical composition in real-time.
- The developed system enhances accessibility and efficiency in monitoring microalgal cultivation.
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