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May 2024
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Partner Information
1 NTUA (LFCT), National Technical University of Athens, School of Chemical Engineering, Division of Process and Product Development, Laboratory of Food Chemistry and Technology
Contact

5 Iroon Polytechniou, 15780, Athens, Greece
Tel. +30 210 7723171
Fax. +30 210 7723163
E-mail: taoukis@chemeng.ntua.gr
WebSite : http://www.chemeng.ntua.gr

Role and Contribution

Participant 1 is the General Manager of the whole project and will lead WP3 and WP4. Participant 1contributes to the following main objectives of the project:

  • Modelling the effect of food structure, microbial interactions and dynamic storage conditions on meat pathogens and spoilage bacteria.
  • Combination of validated pathogen growth models with data on prevalence/concentration, dose response and chill chain conditions for risk assessment with and without SMAS application.
  • Development, modelling and optimization of TTI with accuracy to monitor microbiological safety of meat products.
  • Development of SMAS into a user-friendly computer software.
  • Evaluation of the applicability and effectiveness of SMAS in real conditions of meat distribution. Assessment of the industry acceptance of the TTI and the concept of chill chain management.
  • Evaluation of European consumer attitude on use of TTI and correlation to quality.

Workplan

Role of Subcontractor

Research Personnel

Qualifications

Selected References
  1. Fu, B., Taoukis P. S. and Labuza T. P. (1991), "Predictive Microbiology for monitoring spoilage of dairy products with time temperature indicators", Journal of Food Science, 56(5), p. 1209-1215.  

  2. Taoukis, P., Labuza, T. P. and Saguy, I.(1997). Kinetics of Food Deterioration and Shelf-Life prediction.in: "The Handbook Of Food Engineering Practice", K.J.Valentas, E.Rotstein, R.P.Singh (ed), CRC Press, p.361-403.  

  3. Tsoka, S., Taoukis P.S., Christakopoulos, P., Kekos, D., Macris B.J. (1998). Time temperature Integration for Chilled Food Shelf life Monitoring using Enzyme-Substrate Systems. Food Biotechnology. 12(2), 139-155.

  4. Taoukis, P. S., Koutsoumanis, K.& Nychas, G-J.E (1999) Use of time-temperature intergrator and predictive modelling for shelf life control of chilled fish under dynamic storage conditions. Int. J.Food Microbioly 53, 21-31  

  5. Taoukis, P.S., Bili, M., and Giannakourou M. (1998). Application of shelf life modelling of chilled salad products to a TTI based distribution and stock rotation system. Acta Horticulturae , 476, 131-140.  

  6. Koutsoumanis, K.. Taoukis, P., Drosinos, E., & Nychas, G-J.(2000) Applicability of an Arrhenius model for combined effect of temperature and CO2 packaging on the spoilage microflora of fish. Appl.Environ. Microbiol. 66, 3528-3534.  

  7. Giannakourou M., Koutsoumanis, K., Nychas, G-J and Taoukis, P.(2001) Development and Assessment of an Intelligent Shelf Life Decision System for Quality Optimization of the Food Chill Chain.. J Food Protection 64(7), 1051-1057  

  8. Taoukis PS. 2001. Modelling the use of time-temperature indicators in distribution and stock rotation. In: Tijkskens LMM, Hertog MLATM, Nicolai BM, editors. Food process modelling. 3rd ed. Woodhead Publishing Ltd. Cambridge, England p. 402-432

  9. Giannakourou MC, Taoukis PS. 2003. Application of a TTI-based distribution management system for quality optimisation of frozen vegetables at the consumer end. J.Food Sci. 68(1): 201-209.  

  10. Taoukis PS. 2003. Time-temperature indicators (TTI). In: Ahrevainen R., Editor. Novel Food packaging techniques. Woodhead Publishing Ltd. Cambridge, England.


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EC FIFTH FRAMEWORK PROGRAMME - Quality of Life and Management of Living Resources - Project QLK1-2002-02545