Measurement and Modelling of Food Processes
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Food Process Engineering".
Deadline for manuscript submissions: closed (15 September 2023) | Viewed by 3894
Special Issue Editors
Interests: process analytics; cereal science; modelling; chemometrics; process control; data evaluation
Special Issues, Collections and Topics in MDPI journals
Interests: cereal science; rheology; legumes; process analytics; spectroscopy; sustainability; improving world nutrition; modelling; data evaluation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
There is evidence that plant food was processed widespread across Europe 30,000 years ago. Since this time, the processing itself has been improved significantly, which is also true for the recent years. New measurement techniques have been developed and are used to obtain more information about the raw material, and about the intermediates and final products. Using measurement techniques online, the processing can be performed material-dependent, which will save resources and improve the final quality of the food product. Furthermore, based on the measurements, mathematical modelling will be enabled, which can help to obtain deeper insight into the knowledge of what is going on with the food. However, the mathematical models are not only good for improving the knowledge of the food but, in form of a digital twin, they can also be used to improve the processing itself (e.g., as part of a controller or observer or used to simulate and optimize the process).
This Special Issue on “Measurement and modelling of Food Processes” seeks high-quality works focusing on the latest novel advances in food processing technology. Topics include, but are not limited to:
- Spectroscopic measurement systems, image analysis, and process analyzers to enhance the knowledge about food or improve food production;
- Application of chemometric models, PCR, PLSR or neural networks as data-driven modelling tools for food process analysis;
- Mechanistic models used as observers during food processing;
- Industrial application of measurements and modelling for food processing;
- Data evaluation algorithms (e.g., machine learning).
Prof. Dr. Bernd Hitzmann
Dr. Viktoria Zettel
Guest Editors
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. Processes 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 2400 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.
Keywords
- spectroscopy
- image analysis
- process analyzer
- PAT
- modelling
- data-driven modelling
- food processes
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