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Microalgae Biotechnology

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Attention for Chapter 328: Monitoring of Microalgal Processes
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Chapter title
Monitoring of Microalgal Processes
Chapter number 328
Book title
Microalgae Biotechnology
Published in
Advances in biochemical engineering biotechnology, January 2015
DOI 10.1007/10_2015_328
Pubmed ID
Book ISBNs
978-3-31-923807-4, 978-3-31-923808-1
Authors

Ivo Havlik, Thomas Scheper, Kenneth F. Reardon

Abstract

: Process monitoring, which can be defined as the measurement of process variables with the smallest possible delay, is combined with process models to form the basis for successful process control. Minimizing the measurement delay leads inevitably to employing online, in situ sensors where possible, preferably using noninvasive measurement methods with stable, low-cost sensors. Microalgal processes have similarities to traditional bioprocesses but also have unique monitoring requirements. In general, variables to be monitored in microalgal processes can be categorized as physical, chemical, and biological, and they are measured in gaseous, liquid, and solid (biological) phases. Physical and chemical process variables can be usually monitored online using standard industrial sensors. The monitoring of biological process variables, however, relies mostly on sensors developed and validated using laboratory-scale systems or uses offline methods because of difficulties in developing suitable online sensors. Here, we review current technologies for online, in situ monitoring of all types of process parameters of microalgal cultivations, with a focus on monitoring of biological parameters. We discuss newly introduced methods for measuring biological parameters that could be possibly adapted for routine online use, should be preferably noninvasive, and are based on approaches that have been proven in other bioprocesses. New sensor types for measuring physicochemical parameters using optical methods or ion-specific field effect transistor (ISFET) sensors are also discussed. Reviewed methods with online implementation or online potential include measurement of irradiance, biomass concentration by optical density and image analysis, cell count, chlorophyll fluorescence, growth rate, lipid concentration by infrared spectrophotometry, dielectric scattering, and nuclear magnetic resonance. Future perspectives are discussed, especially in the field of image analysis using in situ microscopy, infrared spectrophotometry, and software sensor systems.

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
India 1 2%
Brazil 1 2%
Unknown 43 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 24%
Researcher 7 15%
Student > Bachelor 7 15%
Student > Doctoral Student 7 15%
Student > Master 6 13%
Other 7 15%
Unknown 1 2%
Readers by discipline Count As %
Engineering 10 22%
Agricultural and Biological Sciences 10 22%
Environmental Science 3 7%
Chemistry 3 7%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 11 24%
Unknown 7 15%