Fermentation Processes Modeling, Optimization and Control
Materialtyp:
ArtikelUtgivningsinformation: Basel MDPI - Multidisciplinary Digital Publishing Institute 2024Beskrivning: 1 electronic resource (182 p.)Innehållstyp: - text
- computer
- online resource
- 9783725825417
- 9783725825424
- Medicine
- Clinical & internal medicine
- Diseases and disorders
- Oncology
- Technology, Engineering, Agriculture, Industrial processes
- Technology: general issues
- AOB
- Actinobacillus succinogenes
- Aspergillus sp
- Daucus carota
- Escherichia coli
- Fusarium solani
- Kluyveromyces marxianus
- OMVs
- ORP-controlled MEC system
- P2G
- ammonia accumulation
- at-line activity
- bio-methane
- bioethanol
- biosynthetic pathway
- biotechnological process
- bubble column
- casein proteins
- configuration
- continuous stirred tank reactor
- endocellulase
- endoxylanase
- enzymatic biochemical bioreactor
- enzymatic hydrolysis
- experimental design
- fed-batch fermentation
- fermentation
- glucose
- glyoxylate
- high throughput
- holocellulases
- lab-made system
- lentil proteins
- metabolic engineering
- methanation
- microbial electrolysis cells
- modeling
- monitoring
- multiple linear regression modeling
- nicotinamide mononucleotide
- nicotinamide phosphoribosyltransferase
- nitrification
- nitrite-oxidizing bacteria (NOB)
- optimal feedback control
- plug flow reactor
- power-to-gas
- productivity intensification
- protein fraction
- protein quality
- pyruvate carboxylase
- relative humidity
- sequential injection analysis
- small-scale microbiological cultures
- solubility
Open Access Unrestricted online access star
The main purpose of this reprint is to present different approaches most commonly employed in the analysis of bioprocesses. This reprint aims to develop, in some detail, the bases and concepts of bioprocesses related to the bioprocess analysis introduced in basic principles of mathematical modeling. From this viewpoint, the system's approach to bioengineering and bioprocessing, with its current focus on the development of mathematical approaches and their analysis, is a logical sequel in understanding the mechanisms of cellular and metabolic processes. Specifically, it concerns applications in modeling, estimation, and optimization of bioprocesses. Consequently, this reprint presents key results in various fields, including dynamic modeling, dynamic properties of bioprocess models, online estimation of parameters and state variables, and optimization of bioprocesses.
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eng
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