Details
| Original language | English |
|---|---|
| Pages (from-to) | 67-92 |
| Number of pages | 26 |
| Journal | Reviews in Environmental Science and Biotechnology |
| Volume | 23 |
| Issue number | 1 |
| Early online date | 10 Jan 2024 |
| Publication status | Published - Mar 2024 |
Abstract
Microalgae are well-known photosynthetic microorganisms used as cell factories for the production of relevant biotechnological compounds. Despite the outstanding characteristics attributed to microalgae, their industrial-scale production still struggles with scale-up problems and economic feasibility. One important bottleneck is the lack of suitable online sensors for the reliable monitoring of biological parameters, mostly concentrations of intracellular components, in microalgae bioprocesses. Software sensors provide an approach to improving the monitoring of those process parameters that are difficult to quantify directly and are therefore only indirectly accessible. Their use aims to improve the productivity of microalgal bioprocesses through better monitoring, control and automation, according to the current demands of Industry 4.0. In this review, a description of the microalgae components of interest as candidates for monitoring in a cultivation, an overview of software sensors, some of the available approaches and tools, and the current state-of-the-art of the design and use of software sensors in microalgae cultivation are presented. The latter is grouped on the basis of measurement methods used as software sensor inputs, employing either optical or non-optical techniques, or a combination of both. Some examples of software sensor design using simulated process data are also given, grouped according to their design, either as model-driven or data-driven estimators.
Keywords
- Data-driven estimators, Microalgae cultivation monitoring, Model-driven estimators, Non-optical methods, Optical methods, Software sensors
ASJC Scopus subject areas
- Environmental Science(all)
- Environmental Engineering
- Immunology and Microbiology(all)
- Applied Microbiology and Biotechnology
- Environmental Science(all)
- Waste Management and Disposal
- Environmental Science(all)
- Pollution
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: Reviews in Environmental Science and Biotechnology, Vol. 23, No. 1, 03.2024, p. 67-92.
Research output: Contribution to journal › Review article › Research › peer review
}
TY - JOUR
T1 - Software sensors in the monitoring of microalgae cultivations
AU - Porras Reyes, Luis
AU - Havlik, Ivo
AU - Beutel, Sascha
N1 - Funding Information: This work was supported by the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement N° 955520 (DigitAlgaesation)”.
PY - 2024/3
Y1 - 2024/3
N2 - Microalgae are well-known photosynthetic microorganisms used as cell factories for the production of relevant biotechnological compounds. Despite the outstanding characteristics attributed to microalgae, their industrial-scale production still struggles with scale-up problems and economic feasibility. One important bottleneck is the lack of suitable online sensors for the reliable monitoring of biological parameters, mostly concentrations of intracellular components, in microalgae bioprocesses. Software sensors provide an approach to improving the monitoring of those process parameters that are difficult to quantify directly and are therefore only indirectly accessible. Their use aims to improve the productivity of microalgal bioprocesses through better monitoring, control and automation, according to the current demands of Industry 4.0. In this review, a description of the microalgae components of interest as candidates for monitoring in a cultivation, an overview of software sensors, some of the available approaches and tools, and the current state-of-the-art of the design and use of software sensors in microalgae cultivation are presented. The latter is grouped on the basis of measurement methods used as software sensor inputs, employing either optical or non-optical techniques, or a combination of both. Some examples of software sensor design using simulated process data are also given, grouped according to their design, either as model-driven or data-driven estimators.
AB - Microalgae are well-known photosynthetic microorganisms used as cell factories for the production of relevant biotechnological compounds. Despite the outstanding characteristics attributed to microalgae, their industrial-scale production still struggles with scale-up problems and economic feasibility. One important bottleneck is the lack of suitable online sensors for the reliable monitoring of biological parameters, mostly concentrations of intracellular components, in microalgae bioprocesses. Software sensors provide an approach to improving the monitoring of those process parameters that are difficult to quantify directly and are therefore only indirectly accessible. Their use aims to improve the productivity of microalgal bioprocesses through better monitoring, control and automation, according to the current demands of Industry 4.0. In this review, a description of the microalgae components of interest as candidates for monitoring in a cultivation, an overview of software sensors, some of the available approaches and tools, and the current state-of-the-art of the design and use of software sensors in microalgae cultivation are presented. The latter is grouped on the basis of measurement methods used as software sensor inputs, employing either optical or non-optical techniques, or a combination of both. Some examples of software sensor design using simulated process data are also given, grouped according to their design, either as model-driven or data-driven estimators.
KW - Data-driven estimators
KW - Microalgae cultivation monitoring
KW - Model-driven estimators
KW - Non-optical methods
KW - Optical methods
KW - Software sensors
UR - http://www.scopus.com/inward/record.url?scp=85181967135&partnerID=8YFLogxK
U2 - 10.1007/s11157-023-09679-8
DO - 10.1007/s11157-023-09679-8
M3 - Review article
AN - SCOPUS:85181967135
VL - 23
SP - 67
EP - 92
JO - Reviews in Environmental Science and Biotechnology
JF - Reviews in Environmental Science and Biotechnology
SN - 1569-1705
IS - 1
ER -