Development and Application of an Automated Raman Sensor for Bioprocess Monitoring: From the Laboratory to an Algae Production Platform

Microalgae provide valuable bio-components with economic and environmental benefits. The monitoring of microalgal production is mostly performed using different sensors and analytical methods that, although very powerful, are limited to qualified users. This study proposes an automated Raman spectro...

Full description

Saved in:

Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 23; no. 24; p. 9746
Main Authors:	Wieser, Wiviane, Assaf, Antony Ali, Le Gouic, Benjamin, Dechandol, Emmanuel, Herve, Laura, Louineau, Thomas, Dib, Omar Hussein, Gonçalves, Olivier, Titica, Mariana, Couzinet-Mossion, Aurélie, Wielgosz-Collin, Gaetane, Bittel, Marine, Thouand, Gerald
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 11-12-2023 MDPI
Subjects:	Algae Automatic Automation Biotechnology Carotenoids Chlorophyll Engineering Sciences Laboratories Life Sciences Lipids Mechanization Medical equipment and supplies industry Medical test kit industry microalgae monitoring Nitrogen optical sensor pilot scale Raman spectroscopy Sensors United Kingdom France United States Germany United States > US microalgae Raman spectroscopy monitoring pilot scale optical sensor
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	Microalgae provide valuable bio-components with economic and environmental benefits. The monitoring of microalgal production is mostly performed using different sensors and analytical methods that, although very powerful, are limited to qualified users. This study proposes an automated Raman spectroscopy-based sensor for the online monitoring of microalgal production. For this purpose, an in situ system with a sampling station was made of a light-tight optical chamber connected to a Raman probe. Microalgal cultures were routed to this chamber by pipes connected to pumps and valves controlled and programmed by a computer. The developed approach was evaluated on under different culture conditions at a laboratory and an industrial algal platform. As a result, more than 4000 Raman spectra were generated and analysed by statistical methods. These spectra reflected the physiological state of the cells and demonstrate the ability of the developed sensor to monitor the physiology of microalgal cells and their intracellular molecules of interest in a complex production environment.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	1424-8220 1424-8220
DOI:	10.3390/s23249746