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Eng Life Sci


Title:Membrane inlet-ion mobility spectrometry with automatic spectra evaluation as online monitoring tool for the process control of microalgae cultivation
Author(s):Cammerer M; Mayer T; Schott C; Steingroewer J; Petrich R; Borsdorf H;
Address:"Department Monitoring and Exploration Technologies UFZ Helmholtz Centre for Environmental Research Leipzig Germany. Faculty of Mechanical Science and Engineering Institute of Natural Materials Technology, Technical University Dresden Dresden Germany. IFU GmbH Private Institute for Analytics Frankenberg/Sa. Germany"
Journal Title:Eng Life Sci
Year:2023
Volume:20230228
Issue:4
Page Number:e2200039 -
DOI: 10.1002/elsc.202200039
ISSN/ISBN:1618-0240 (Print) 1618-2863 (Electronic) 1618-0240 (Linking)
Abstract:"The cultivation of algae either in open raceway ponds or in closed bioreactors could allow the renewable production of biomass for food, pharmaceutical, cosmetic, or chemical industries. Optimal cultivation conditions are however required to ensure that the production of these compounds is both efficient and economical. Therefore, high-frequency analytical measurements are required to allow timely process control and to detect possible disturbances during algae growth. Such analytical methods are only available to a limited extent. Therefore, we introduced a method for monitoring algae release volatile organic compounds (VOCs) in the headspace above a bioreactor in real time. This method is based on ion mobility spectrometry (IMS) in combination with a membrane inlet (MI). The unique feature of IMS is that complete spectra are detected in real time instead of sum signals. These spectral patterns produced in the ion mobility spectrum were evaluated automatically via principal component analysis (PCA). The detected peak patterns are characteristic for the respective algae culture; allow the assignment of the individual growth phases and reflect the influence of experimental parameters. These results allow for the first time a continuous monitoring of the algae cultivation and thus an early detection of possible disturbances in the biotechnological process"
Keywords:Limnospira platensis algal biotechnology classification methods ion mobility spectrometry process monitoring;
Notes:"PubMed-not-MEDLINECammerer, Malcolm Mayer, Thomas Schott, Carolin Steingroewer, Juliane Petrich, Ralf Borsdorf, Helko eng Germany 2023/04/08 Eng Life Sci. 2023 Feb 28; 23(4):e2200039. doi: 10.1002/elsc.202200039. eCollection 2023 Apr"

 
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