Topic Editors

Dipartimento di Ingegneria Chimica, dei Materiali e della Produzione Industriale, UniversitĂ  degli Studi di Napoli Federico II, Piazzale Tecchio 80, 80125 Napoli, Italy
Department of Industrial Engineering, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, Italy

Bioreactors: Control, Optimization and Applications—3rd Edition

Abstract submission deadline
30 November 2026
Manuscript submission deadline
31 January 2027
Viewed by
3104

Topic Information

Dear Colleagues,

Bioreactors are the core of biological processes. There are a tremendous variety of bioprocesses, and many different bioreactor designs have been developed to meet different needs. The success of a bioprocess depends critically on the good design and operation of the bioreactor, with the biological systems involved including enzymes, microorganisms, animal cells, plant cells, and tissues. To design an appropriate bioreactor for a particular bioprocess, intensive studies on the biological system, such as cell growth, metabolism, genetic manipulation, and protein or other product expression, are needed to understand the cells’ requirements on their physical and chemical environment. It is also necessary to control and optimize the bioreactor environment via operating variables in order to favor the desired functions of the cells and achieve cost-effective large-scale manufacturing. Bioreactor operation strategies include fed-batch, continuous, semicontinuous, and perfusion cultures. For the industrial application of bioreactors, bioreactor scale-up, multiscale study, and bioprocess monitoring, modeling, and simulation are also very important.

Moreover, qualitative and quantitative descriptions of a production process through the analysis of various parameters via automatic or manual methods are necessary for process control and optimization. The objects of process monitoring can be the environmental status or the varied values of operational variables. Through analysis, the cellular or engineering problems of a bioreactor on different scales can be identified. Interscale observation and operation are crucial in bioprocess optimization.

In this context, there is the necessity for research on “Bioreactors: Control, Optimization and Applications”. The objective of this Topic is to showcase the diversity and advances in research that contribute to developing effective systems for microorganism culture and biochemical production. Relevant topics include, but are not limited to, the following:

  • Novel bioreactor designs and configurations;
  • Advanced control strategies, automation, and real-time monitoring;
  • Modeling, scale-up methodologies, and multiscale analysis of bioreactors;
  • Integrated bioprocess development combining upstream and downstream considerations;
  • Bioreactor applications in composting, anaerobic digestion, microbial fermentation, cell culture, tissue engineering, enzymatic conversion, waste treatment, and bioresource recovery;
  • Bioreactor applications for COâ‚‚ utilization, alternative protein production, and circular bioeconomy.

Original papers conducting experimental/theoretical studies on bioreactor systems are solicited, and we are particularly interested in manuscripts that integrate biology and engineering research and/or experimental and theoretical studies. We invite researchers from all areas of bioengineering to submit manuscripts for this important Topic.

Dr. Francesca Raganati
Dr. Alessandra Procentese
Topic Editors

Keywords

  • cell culture
  • fermentation
  • bioprocessing
  • scale-up
  • bioreactor design
  • mathematical models
  • monitoring and control
  • bioreactor optimization

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Bioengineering
bioengineering
4.4 7.5 2014 16.9 Days CHF 2700 Submit
BioTech
biotech
3.6 5.6 2012 20.7 Days CHF 1800 Submit
ChemEngineering
ChemEngineering
3.7 6.0 2017 28.3 Days CHF 1800 Submit
Fermentation
fermentation
4.1 7.7 2015 16.8 Days CHF 2100 Submit
Processes
processes
3.4 5.7 2013 14.7 Days CHF 2400 Submit
Water
water
3.5 6.7 2009 17.7 Days CHF 2600 Submit

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Published Papers (2 papers)

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19 pages, 3631 KB  
Article
Spectroscopy-Based Cell Culture Predictive Monitoring
by Ahmed Kanfoud, Pascal Gerkens, Marie Bastin, Laurent Rondia, Florian Ceulemans, Karim Donnay, Bertrand Debuisseret, Thomas Cornet, Gael de Lannoy and Thibault Helleputte
BioTech 2026, 15(2), 35; https://doi.org/10.3390/biotech15020035 - 20 May 2026
Viewed by 1179
Abstract
Spectral monitoring combined with chemometrics models resulting from machine learning approaches allows cell culture to be monitored almost in real time. This process analytical technology offers to drastically reduce the amount of hands-on time and laboratory testing needed to monitor this crucial biomanufacturing [...] Read more.
Spectral monitoring combined with chemometrics models resulting from machine learning approaches allows cell culture to be monitored almost in real time. This process analytical technology offers to drastically reduce the amount of hands-on time and laboratory testing needed to monitor this crucial biomanufacturing step. In this article, we propose a method to anticipate future spectra. The method is based on extrapolation of the spectra in a reduced-dimensionality space, followed by retroprojection in the original space. Passed to regular chemometrics models already fitted, these anticipated spectra enable predictive cell culture monitoring up to several dozen hours with satisfactory quality. This anticipation paves the way for course-correction and enhanced operations such as reduced need for night shifts. Full article
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21 pages, 13819 KB  
Article
Model-Free Adaptive Temperature Control for a Dual-Channel Water Circulation Bioreactor
by Zhe Hu, Fei Liu and Zhiguo Wang
Processes 2026, 14(8), 1244; https://doi.org/10.3390/pr14081244 - 14 Apr 2026
Cited by 1 | Viewed by 687
Abstract
The single-heat-exchanger dual-channel water circulation structure is a critical process configuration in laboratory-scale bioreactors. However, frequent switching between heating and cooling modes and the difficulty of establishing an accurate mechanistic model make precise temperature regulation challenging. To address this issue, a model-free adaptive [...] Read more.
The single-heat-exchanger dual-channel water circulation structure is a critical process configuration in laboratory-scale bioreactors. However, frequent switching between heating and cooling modes and the difficulty of establishing an accurate mechanistic model make precise temperature regulation challenging. To address this issue, a model-free adaptive temperature control scheme based on a second-order universal model is proposed, together with a real-time implementation algorithm. Separate controllers are designed for the heating and cooling processes to ensure accurate regulation under different operating conditions. Pulse-width modulation is employed to achieve equivalent continuous actuation of switching-type actuators, and a temperature dead-zone mechanism is introduced to suppress excessive actuator switching. For practical implementation, controller parameters are initialized offline using particle swarm optimization based on experimental data. Experimental results demonstrate that the proposed method satisfies the ±0.1 °C process requirement while achieving small steady-state fluctuations, low overshoot, and short settling time, thereby verifying its effectiveness for bioreactor temperature regulation under mode-switching conditions. Full article
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