Special Issue "Modeling Methods for Fermentation Processes"
Deadline for manuscript submissions: 28 February 2024 | Viewed by 5283
Since the advent of modern biotechnology initiated scientific research towards quantitative analysis of fermentation processes, various modeling tools have been applied and newly devised. This started around 50 years ago with the transfer of knowledge from chemical engineering to describe bioreactors, using mainly empirical equations, accompanied by unstructured models for the biological reactions. Capturing the complexity of living systems in more detail then led to the research field of systems biology, utilizing mechanistic models down to a molecular level. Beyond empirical and mechanistic models, a third approach to fermentation modeling is evolving, which is data-driven (e.g., machine learning).
Advanced applications of modeling are culminating in the current development of digital twins for industrial production processes. For fermentation processes, it ultimately means modeling an in silico cell within an industrial scale bioprocess environment, adding even more complexity to this task due to the multiscale nature of this combination. Another feature of a digital twin is the integration of real-time data into model simulations for process analysis and control, leading to hybrid modeling concepts via combinations of modeling methods.
This Special Issue aims to collect state-of-the-art publications on all modeling methods and their hybrid variants, from basic research to applications in industry, to provide an overview and initiate the creation of new approaches. Strengthening modeling will improve the efficiency, sustainability, and profitability of fermentation-based industries by understanding the underlying mechanisms of the system, optimizing the process parameters, and minimizing waste generation and resource consumption.
Prof. Dr. Peter Götz
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Fermentation is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- empirical modeling
- mechanistic modeling
- machine learning
- data science
- metabolic modeling
- systems biology
- in silico cell
- digital twin