Estimation of neutral lipid and carbohydrate quotas in microalgae using adaptive interval observers
Open accessAbstract
Under stress conditions, microalgae are known to accumulate large amounts of neutral lipids and carbohydrates, which can be used for biofuel production. However, on-line measurement of microalgal biochemical composition is a difficult task which makes the microalgal process rather difficult to manage. In this paper, we propose a so called adaptive interval observer for the on-line estimation of neutral lipid and carbohydrate quotas in microalgae. The observer is based on a change of coordinates that involves a time-varying gain. We introduce dynamics for the gain, whose trajectory converges toward a predefined optimal value (which maximizes the convergence rate of the observer). The observer performance is illustrated with experimental data of Isochrysis sp. cultures under nitrogen limitations and day-night cycle. The proposed observer design appears to be a suitable robust estimation technique.
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Interval observers have been applied to microalgae cultivation.
“Examples of interval observers applied to microalgae cultivation can be found in literature (Goffaux et al. 2009; Mairet et al. 2014a).”
From Software sensors in the monitoring of microalgae cultivations (2024) · cites this paper as Mairet et al. 2014a
Adaptive interval observers have been reported in microalgae cultivation.
“Adaptive interval observer have also been reported in microalgae cultivation (Mairet et al. 2014a, b).”
From Software sensors in the monitoring of microalgae cultivations (2024) · cites this paper as Mairet et al. 2014a, b
Neutral lipid and lipid and carbohydrate contents in I. galbana under nitrogen stress in continuous culture were estimated by adaptive interval observers based on simple process models with Monod and Droop kinetics.
“The neutral lipid [73] and lipid and carbohydrate [74] contents in microalgal cells of I. galbana under nitrogen stress in a continuous culture were estimated by adaptive interval observers based on simple process models with Monod and Droop kinetics.”
From On-Line Monitoring of Biological Parameters in Microalgal Bioprocesses Using Optical Methods (2022) · cites this paper as [74]
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References 34 · Cited by 17
- Authors
- Mairet, F., Moisan, M., & Bernard, O.
- Affiliations
- Universidad Técnica Federico Santa María (CL)
- Corresponding author
- Mairet, Francis
- ORCID
- Mairet, Francis
- Venue
- Bioprocess and Biosystems Engineering
- Published
- 2013-02-15
- Volume
- 37
- Issue
- 1
- Pages
- 51-61
- ISSN
- 1615-7591 (ISSN-L)
- 1615-7605
- OpenAlex
- W2061214000
- Cited by
- 17
- References
- 34
- Citations by year
- 2025: 1 · 2024: 2 · 2022: 2 · 2021: 3 · 2019: 1 · 2018: 2 · 2017: 1 · 2016: 1 · 2015: 3 · 2014: 1
- FWCI
- 0.61
- Type
- journal article
- Language
- en
- Open access
- green
- inria.hal.science
- Licence
- other-oa
- www.springer.com/tdm (tdm)
- Locations
- Bioprocess and Biosystems Engineering (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion, other-oa)
- Topics
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
- Physical Sciences › Engineering › Control and Systems Engineering › Control Systems and Identification
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Keywords
- microalgae, online estimation, biofuel feedstock, Isochrysis, nitrogen limitation, diurnal cycle, time-varying gain, robust estimation
- MeSH terms
- Algorithms, Carbohydrates, Fermentation, Light, Lipids, Nitrogen, Online Systems, Research Design, Stress, Physiological, Time Factors, Biomass, Cell Culture Techniques, Carbohydrate Metabolism, Lipid Metabolism, Biofuels, Microalgae, Haptophyta
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