Home Modeling and Thermo-Fluid Dynamic Simulation of a Fresh Pasta Pasteurization Process
Article
Licensed
Unlicensed Requires Authentication

Modeling and Thermo-Fluid Dynamic Simulation of a Fresh Pasta Pasteurization Process

  • Eleonora Bottani , Gino Ferretti , Michele Manfredi and Giuseppe Vignali EMAIL logo
Published/Copyright: September 21, 2013

Abstract

This work aims to analyze and predict the thermal pasteurization process for two types of fresh pasta, by means of computational fluid dynamic (CFD) simulation. The types of pasta considered are “ravioli” filled of meat and “orecchiette”, without filling. Thanks to many studies on pasta properties, some parameters, such as thermal conductivity and heat capacity, are previously determined for both products. CFD simulations are, thus, performed using ANSYS CFX code version 14.5 in a transient state (after 150 s for ravioli and after 45 s for orecchiette), to evaluate the pasteurization temperature and the P-value reached on the surface of the orecchiette and at the core of the ravioli, as a function of the process time. The heat exchange takes place in a pasteurization tunnel by means of water vapor at ~371 K. Experimental tests are finally performed to validate the simulation model of heat exchange. Results show a good agreement between the simulated results and the real pasteurization process and confirm the potential usefulness of the simulation model to evaluate the process performance.

Acknowledgments

The authors would like to acknowledge the company “Storci S.p.a.” (www.storci.com), Via Lemignano, 6, Collecchio – Parma (Italy) for their active support during this research project.

References

1. GiannuzziL. Mathematical modeling of microbial growth in fresh filled pasta stored at different temperature. J Food Process Preservation1998;22:43347.10.1111/j.1745-4549.1998.tb00361.xSearch in Google Scholar

2. GiannuzziL. Shelf-life of fresh filled pasta. Hazard analysis and critical control points of the manufacturing process and household practices. J Food Process Preservation1998;22:44961.10.1111/j.1745-4549.1998.tb00362.xSearch in Google Scholar

3. EN ISO 11290-2. Microbiology of food and animal feeding stuffs – horizontal method for the detection and enumeration of listeria monocytogenes: Part 2. Enumeration, Geneva: International Organisation for Standardisation, 2004.Search in Google Scholar

4. Istituto Superiore di Sanità. Rapporto ISTISAN89/9 –Metodiche Analitiche per Il Controllo Delle Paste Alimentari,1989. ISSN-0391-1675.Search in Google Scholar

5. TuckerGS, LambourneT, AdamsJB, LachA.Application of a biochemical time–temperature integrator to estimate pasteurisation values in continuous food processes. Innovative Food Science & Emerging Technologies2002;3(2):16574.10.1016/S1466-8564(02)00006-1Search in Google Scholar

6. PaganiA. Influenza Delle Materie Prime (Sfarinati) Sulla Qualità Della Pasta Fresca. Proceedings of AITA conference “Il processo di produzione della pasta alimentare fresca”, Parma, 2007.Search in Google Scholar

7. De CindioB, CelotF, MiglioriM, PolliniCM. A simplerheological model to predict filled fresh pasta failure during heat treatment. J Food Eng2001;48:718.10.1016/S0260-8774(00)00138-2Search in Google Scholar

8. AlampreseC, CasiraghiE, RossiM. Structural and cooking properties of fresh egg pasta as a function of pasteurization treatment intensity. J Food Eng2008;89:17.10.1016/j.jfoodeng.2008.03.022Search in Google Scholar

9. AlampreseC, IamettiS, RossiM, BergonziD. Role ofpasteurisation heat treatments on rheological and protein structural characteristics of fresh egg pasta. Eur Food Res Technol2005;221:75967.10.1007/s00217-005-0024-zSearch in Google Scholar

10. RizzoR, RomagnoliG, VignaliG. Process parameteroptimisation in the design of a pasteuriser for fresh-filled pasta. Food Manufacturing Efficiency2010;3:2533.10.1616/1750-2683.0049Search in Google Scholar

11. BottaniE, RizzoR, VignaliG. Simulation and analysis of fluid dynamic behaviour of foods during filling processes. Chem Prod Process Modeling2007;2:art.18.10.2202/1934-2659.1084Search in Google Scholar

12. ZouQ, OparaLU, McKibbinR. A CFD modelling system for airflow and heat transfer in ventilated packaging for fresh foods: I. Initial analysis and development of mathematical models. J Food Eng2006;77:103747.10.1016/j.jfoodeng.2005.08.042Search in Google Scholar

13. ZouQ, OparaLU, McKibbinR. A CFD modelling system for airflow and heat transfer in ventilated packaging for fresh foods: II. Computational solution, software development, and model testing. J Food Eng2006;77:104858.10.1016/j.jfoodeng.2005.08.043Search in Google Scholar

14. MiglioriM, GabrieleD, de CindioB, PolliniC. Modelling of high quality pasta drying: mathematical model and validation. J Food Eng2005;69:38797.10.1016/j.jfoodeng.2004.08.033Search in Google Scholar

15. NicolaiBM, Vanden BroekP, SchellenkensM, De RoeckG, MartensT, De BaerdemaekerJ. Finite element analysis of heat conduction in lasagne during thermal processing. Int J Food Sci Technol1995;30:34763.10.1111/j.1365-2621.1995.tb01383.xSearch in Google Scholar

16. SaravacosGD, MaroulisZB. Transport properties of food. New York-Basel: Marcel Dekker Inc, 2001.Search in Google Scholar

17. AndrieuJ, GonnetE, LaurentM. Thermal conductivity and diffusivity of extruded durum wheat pasta lebensm. Wiss U Technol1989;22:610.Search in Google Scholar

18. BairdDG, ReedCM. Transport properties of food doughs. In: MercierC, et al., editors. Extrusion cooking. St. Paul, MN: American Association of Cereal Chemists, Inc, 1989:20545.Search in Google Scholar

19. ZardettoS, Dalla RosaM, Di FrescoS. Effects of different heat treatments on the furosine content in fresh filled pasta. Food Res Int2003;36:87783.10.1016/S0963-9969(03)00096-6Search in Google Scholar

20. LöhnerR. An adaptive finite element scheme for transient problems in CFD. Comput Methods Appl Mechanics Eng1987;61:32338.10.1016/0045-7825(87)90098-3Search in Google Scholar

21. ANSYS. CFX-solver modeling guide, release 14.0. ANSYS, Inc. Southpointe 275 Technology Drive, 2011.Search in Google Scholar

22. SilvaFV, GibbsPA. Thermal pasteurization requirements for the inactivation of salmonella in foods. Food Res. Int2012;45:6959.10.1016/j.foodres.2011.06.018Search in Google Scholar

23. ToledoRT. Fundamentals of food process engineering, 2nd ed. New York: Chapman & Hall, 1991.Search in Google Scholar

24. LopezCC, VanniniL, LanciottiR, GuerzoniME. Microbiological quality of filled pasta in relation to the nature of heat treatment. J Food Prot1998;61:9949.10.4315/0362-028X-61.8.994Search in Google Scholar PubMed

25. CavazzaA, CorradiniC, RinaldiM, SalvadeoP, BorromeiC, MassiniR. Evaluation of pasta thermal treatment by determination of carbohydrates, furosine, and color indices. Food Bioprocess Technol2012. DOI:10.1007/s11947-012-0906-6.10.1007/s11947-012-0906-6Search in Google Scholar

  1. 1

    The average water content during the process was computed as the mathematical average between the initial water content of 36.09% and the final one. This latter, in turn, was estimated starting from the increase in the pasta weight (+5.8%) due to the vapor absorption (Rizzo et al., 2010).

Published Online: 2013-09-21

©2013 by Walter de Gruyter Berlin / Boston

Downloaded on 17.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/ijfe-2013-0036/html
Scroll to top button