Fouling and Cleaning in Food Processing 2025: Food Safety and Net Zero: FCFP 2025
Bibliographic record
Abstract
Die Lebensmittelsicherheit hängt von zuverlässigen, widerstandsfähigen Herstellungsprozessen ab. Lebensmittelverarbeitungsanlagen müssen sich zwischen den einzelnen Chargen oder verschiedenen Produkten leicht reinigen lassen und resistent gegen Verschmutzung sein. Dies zu erreichen und dabei gleichzeitig die Auswirkungen auf die Umwelt und den Ressourcenverbrauch auf dem Weg zu »Netto-Null-Emission« zu minimieren, ist die Herausforderung des Jahrzehnts. Um zu verstehen, wie dies für neue und bestehende Produkte erreicht werden kann, ist der Beitrag vieler Akteure, wie Lebensmittelwissenschaftler, Mikrobiologen, Ingenieure und Experten und Entscheider aus der Industrie erforderlich. Die Konferenzreihe »Fouling and Cleaning in Food Processing (FCFP)« bringt mit ihrem interdisziplinären Charakter die an der hygienegerechten Produktion und Forschung Beteiligten aus der ganzen Welt zusammen, um sich über neue Ergebnisse auszutauschen und neue Ansätze zur Lösung dieser Herausforderung zu entwickeln.:Session 1 - Digitalization and application of AI; Chairman: Hein Timmermann Dr.-Ing. Christian Gola: Data Driven Identification and Modeling for Cleaning of Surfaces Covered With Film Like Soils Dr. Hans Zettler: Harnessing Digital Twin Technology for Performance Analysis and Energy Efficiency in the Food Industry Dr. Alfredo Calvimontes: Sinner’s Circle Reloaded A New Concept to Understand the Real Cleaning Mechanisms of Dishwashing Jialiang Yin: Predictive Fouling Detection in Dairy Industry Heat Exchangers Using Sequence To Sequence Deep Learning Models Session 2 - Surfaces and additive manufacturing; Chairwoman: Olga Santos Frederic Schell: Achieving Clean Antifouling and Antibacterial Surfaces With Lasers Ph. D. Gun Wirtanen: Hygiene of Surface Structures in Collaborative Robots Session 3 - Fouling and cleaning of heat transfer devices ; Chairman: Ian Wilson Anna Andrys: Increase Uptime With Alfa Laval Extend Keep Your Pasteurizer Running Session 5 - Fouling and cleaning challenges for a circular economy; Chairman: Wolfgang Augustin Chris Henze: Intelligent and Adaptive Tank Cleaning Using Motor Driven Jet Cleaners and Optical Inline Sensors Session 6 - Strategies and best practices in cleaning and disinfection; Chairwoman: Kathryn Whitehead Dr. Peter Muranyi: Plasma Treated Liquids as an Environmentally Friendly Alternative to Conventional Disinfectants for the Sanitization of Food Processing Facilities Shelf Life Characteristics and Antibacterial Efficacy Andy Spitzenberger: New Spray Jet Cleaning System Based on a Bionic Model How Can the Archerfish Hunting Technique Be Utilized Dr. Matthias Joppa: Experimental Study on the Interaction of Falling Films and Spray Jets During Cleaning Session 7 - Innovative approaches to membrane fouling and cleaning processes; Chairman: Jen-Yi Huang Dr. Killian Barton: Application of a Benchtop TFF System for the Assessment of CIP Performance of Detergent Formulations for Dairy UF Membrane Cleaning Session 8 - Monitoring and analysis of fouling and cleaning processes; Chairwoman: Dragana Arlov Dr.-Ing. Christian Gola: CFD Investigation of Suspension Based Pigs in Chocolate Processing Plants K. Deshmukh: Modelling the removal of a diffusive food soil Poster Pitch and Poster Session K. Deshmukh: Cleaning in a backward facing step G. Kuruppu: Dairy Milk Fouling Detection Using Electrical Resistance Tomography K. Mehnert: Success Factors for Resilience Management in the Food Sector Addressing Production and Cleaning Processes M. Ruckec: Innovative Cleaning System With Movable Cavitation Nozzle Based on the Hunting Behavior of the Pistol Shrimp F. Fuchs: 3D Metal Printing Using Laser Powder Bed Processes in the Food Industry Impact of Post Processing Methods on Surface Quality and Removal of Specifically Introduced Microbiological Contaminants V. Eisenrauch: Quantifying the Cleaning Efficiency of an Industrial Biofilm and an Imitations on Two Types of Stainless Steel Substrates Dr. M. Mauermann: Mycelium Based Composites Cleaning and Disinfection Strategies for the Production of Biobased Composites Z. S. Yang: A Study on Image Based Validation Methods for Robotic Cleaning Path Optimization
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.002 |
| Insufficient payload (model declined to judge) | 0.041 | 0.013 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".