Applicability of a microbial Time Temperature Indicator (TTI) for monitoring spoilage of modified atmosphere packed minced meat.

The applicability of a microbial Time Temperature Indicator (TTI) prototype, based on the growth and metabolic activity of a Lactobacillus sakei strain developed in a previous study, in monitoring quality of modified atmosphere packed (MAP) minced beef was evaluated at conditions simulating the chill chain. At all storage temperatures examined (0, 5, 10, 15 degrees C), the results showed that lactic acid bacteria (LAB) were the dominant bacteria and can be used as a good spoilage index of MAP minced beef. The end of product's shelf life as revealed by the sensory evaluation coincided with a LAB population level of 7 log(10) CFU/g. For all temperatures tested, the growth of L. sakei in the TTI resembled closely the growth of LAB in the meat product, with similar temperature dependence of the micro(max) and thus similar activation energy values calculated as 111.90 and 106.90 kJ/mol, for the two systems, respectively. In addition, the end point of TTI colour change coincided with the time of sensory rejection point of the beef product during its storage under isothermal chilled temperature conditions. The estimated activation energy, E(alpha), values obtained for parameters related to the response of DeltaE (total colour change of the TTI) describing the kinetics of colour change of the TTI during isothermal storage (i.e. the maximum specific rate of DeltaEpsilon evolution curve, micro(DeltaEpsilon), and also the reciprocal of t(i), time at which half of the maximum DeltaEpsilon is reached), were 112.77 and 127.28 kJ/mol, respectively. Finally, the application of the microbial TTI in monitoring the quality deterioration of MAP minced beef due to spoilage was further evaluated under dynamic conditions of storage, using two separate low temperature periodic changing scenarios, resembling the actual conditions occurring in the distribution chill chain. The results showed that the end point of TTI, after storage at those fluctuating temperature conditions, was noted very close to the end of product's sensorial shelf life. This finding points to the applicability of the developed microbial TTI as a valuable tool for monitoring the quality status during distribution and storage of chilled meat products, which are spoiled by lactic acid bacteria or other bacteria exhibiting similar kinetic responses and spoilage potential.

[1]  E. Drosinos,et al.  A survey of minced lamb packaged in modified atmospheres , 1995 .

[2]  M. Kontominas,et al.  Combined effect of freeze chilling and MAP on quality parameters of raw chicken fillets. , 2008, Food microbiology.

[3]  Bart Nicolai,et al.  Food process modelling , 2001 .

[4]  Theofania Tsironi,et al.  Application and validation of the TTI based chill chain management system SMAS (Safety Monitoring and Assurance System) on shelf life optimization of vacuum packed chilled tuna. , 2008, International journal of food microbiology.

[5]  K Koutsoumanis,et al.  Application of a systematic experimental procedure to develop a microbial model for rapid fish shelf life predictions. , 2000, International journal of food microbiology.

[6]  K Koutsoumanis,et al.  Use of time-temperature integrators and predictive modelling for shelf life control of chilled fish under dynamic storage conditions. , 1999, International journal of food microbiology.

[7]  M. Kontominas,et al.  Physicochemical and microbiological changes of “Souvlaki” – A Greek delicacy lamb meat product: Evaluation of shelf-life using microbial, colour and lipid oxidation parameters , 2009 .

[8]  M. Kontominas,et al.  Shelf-life of a chilled precooked chicken product stored in air and under modified atmospheres: microbiological, chemical, sensory attributes. , 2006, Food microbiology.

[9]  Carl A. Batt,et al.  Encyclopedia of Food Microbiology , 2000 .

[10]  L. Gram,et al.  Spoilage and shelf-life of cod fillets packed in vacuum or modified atmospheres. , 1993, International journal of food microbiology.

[11]  Raija Ahvenainen,et al.  Novel food Packaging techniques , 2003 .

[12]  J. Kerry,et al.  Past, current and potential utilisation of active and intelligent packaging systems for meat and muscle-based products: A review. , 2006, Meat science.

[13]  A H Geeraerd,et al.  Shelf life of modified atmosphere packed cooked meat products: addition of Na-lactate as a fourth shelf life determinative factor in a model and product validation. , 2000, International journal of food microbiology.

[14]  K Koutsoumanis,et al.  Application of shelf life decision system (SLDS) to marine cultured fish quality. , 2002, International journal of food microbiology.

[15]  G. Nychas,et al.  Meat spoilage during distribution. , 2008, Meat science.

[16]  Sun Yan,et al.  Development and characterization of a new amylase type time–temperature indicator , 2008 .

[17]  George-John E. Nychas,et al.  Control of spoilage microorganisms in minced pork by a self-developed modified atmosphere induced by the respiratory activity of meat microflora. , 2008, Food microbiology.

[18]  K. Koutsoumanis,et al.  Development of a Microbial Time/Temperature Indicator Prototype for Monitoring the Microbiological Quality of Chilled Foods , 2008, Applied and Environmental Microbiology.

[19]  J. Beltrán,et al.  Beef shelf life in low O(2) and high CO(2) atmospheres containing different low CO concentrations. , 2000, Meat science.

[20]  J Baranyi,et al.  A dynamic approach to predicting bacterial growth in food. , 1994, International journal of food microbiology.

[21]  Eleftherios H. Drosinos,et al.  Development of a Predictive Model for Spoilage of Cooked Cured Meat Products and Its Validation Under Constant and Dynamic Temperature Storage Conditions , 2006 .

[22]  G. Nychas,et al.  Development of a Microbial Model for the Combined Effect of Temperature and pH on Spoilage of Ground Meat, and Validation of the Model under Dynamic Temperature Conditions , 2006, Applied and Environmental Microbiology.

[23]  T. Labuza,et al.  Reliability of time temperature indicators under temperature abuse , 2001 .

[24]  E. Borch,et al.  Bacterial spoilage of meat and cured meat products. , 1996, International journal of food microbiology.

[25]  O. Sørheim,et al.  Effects of modified atmosphere storage on colour and microbiological shelf life of normal and pale, soft and exudative pork. , 1997, Meat science.

[26]  R. Ahvenainen,et al.  Interrelationship between microbial numbers and other parameters in the spoilage of vacuum-packed cooked ring sausages , 1987 .

[27]  I. Guerrero,et al.  MEAT AND POULTRY | Spoilage of Cooked Meats and Meat Products , 1999 .

[28]  P. S. Taoukis,et al.  6 – Time-temperature indicators (TTIs) , 2003 .

[29]  Konstantinos P. Koutsoumanis,et al.  Applicability of an Arrhenius Model for the Combined Effect of Temperature and CO2 Packaging on the Spoilage Microflora of Fish , 2000, Applied and Environmental Microbiology.

[30]  C. Gill Extending the storage life of raw chilled meats. , 1996, Meat science.

[31]  P. Taoukis,et al.  Applicability of Time‐Temperature Indicators as Shelf Life Monitors of Food Products , 1989 .

[32]  J. V. Van Impe,et al.  Effect of dissolved carbon dioxide and temperature on the growth of Lactobacillus sake in modified atmospheres. , 1998, International journal of food microbiology.

[33]  K Koutsoumanis,et al.  Development and assessment of an intelligent shelf life decision system for quality optimization of the food chill chain. , 2001, Journal of food protection.

[34]  E. Sendra,et al.  Effect of packaging conditions on shelf-life of ostrich steaks. , 2008, Meat science.

[35]  J. Samelis,et al.  Selective effect of the product type and the packaging conditions on the species of lactic acid bacteria dominating the spoilage microbial association of cooked meats at 4°C , 2000 .

[36]  G. Nychas,et al.  Field evaluation of the application of time temperature integrators for monitoring fish quality in the chill chain. , 2005, International journal of food microbiology.

[37]  P. S. Taoukis,et al.  19 – Modelling the use of time-temperature indicators in distribution and stock rotation , 2001 .

[38]  K Koutsoumanis,et al.  Development of a Safety Monitoring and Assurance System for chilled food products. , 2005, International journal of food microbiology.