cooling in the catering supply chain Tina Beck Hansen Bjarke Bak - - PowerPoint PPT Presentation

cooling in the catering supply chain
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cooling in the catering supply chain Tina Beck Hansen Bjarke Bak - - PowerPoint PPT Presentation

Conceptual models for safe heating and cooling in the catering supply chain Tina Beck Hansen Bjarke Bak Christensen from National Food Institute, DTU, Denmark Heidi Friis Hansen Birgitte Sterup Hansen Anette Kamuk Gitte Gross from Viffos,


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Conceptual models for safe heating and cooling in the catering supply chain

Tina Beck Hansen Bjarke Bak Christensen from National Food Institute, DTU, Denmark Heidi Friis Hansen Birgitte Sterup Hansen Anette Kamuk Gitte Gross from Viffos, Denmark

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28/09/2010 Safe heating and cooling in catering 2 DTU Food, Technical University of Denmark

Goals of the models

  • Establishment of safe heating
  • Documentation of safe heating and cooling
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28/09/2010 Safe heating and cooling in catering 3 DTU Food, Technical University of Denmark

Model assumptions

Log-linear inactivation kinetics: D- and z-values Pasteurization value:

Time to obtain a lethal effect of a heat treatment at a given temperature and z-value. Lethal effect of heat treatment: T = Temperature in the food Tref = Reference temperature z = z-value t = heat treatment time

t PV

end start z Tref T z Tref

  

 ) / ) ((

10

Equivalent treatments:

PVTnew

z = 10((Tref – Tnew)/z)  PVTref z

Tnew = New temperature Tref = Reference temperature z = z-value

Log-reductions:

Log reduction = PVT

z / DT

T = Temperature PVT

z = lethal effect at temp. T

DT = D-value at temperature T

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28/09/2010 Safe heating and cooling in catering 4 DTU Food, Technical University of Denmark

Cool down for later use Keep chilled for longer time use

Safe heating and cooling – performance criteria

  • Prevalence
  • Numbers
  • Heat tolerance
  • Growth potential
  • Severity
  • Susceptibility
  • L. monocytogenes – 4D

Source: Hansen & Knøchel 2001, IJFM 63, pp. 135

  • Cl. botulinum (psychrotrophic) – 6D

Source: Peck 1997, Trends FST 8, pp. 186

  • Cl. perfringens – 1 log10 increase

Source: Andersen et al. 2004, JFP 67, pp. 83

Heat gently for immediate use

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28/09/2010 Safe heating and cooling in catering 5 DTU Food, Technical University of Denmark

Heat tolerance – influence of product type

Listeria monocytogenes

  • 2.0
  • 1.5
  • 1.0
  • 0.5

0.0 0.5 1.0 1.5 2.0 50 55 60 65 70 75 Heating temperature (°C) Log D-value

Salmon Cod Milk Beef Lineær Source: Doyle et al. 2001, JFP 64, pp. 410

z = 6.5oC z = 7.0oC z = 5.5oC z = 6.0oC

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28/09/2010 Safe heating and cooling in catering 6 DTU Food, Technical University of Denmark

Heat tolerance – influence of salt content

5 10 15 0.5 3 6 9 20 % salt i vandfasen 4D

Source: Jørgensen et al. 1995, JAB 79, pp.274

Heat tolerance – 4D (min) % salt in the water phase

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28/09/2010 Safe heating and cooling in catering 7 DTU Food, Technical University of Denmark

Heat tolerance – influence of heat injury

Heat treatment Degree of heat injury Days until growth at 3°C Days until growth at 10°C pH 5.6 pH 6.2 pH 5.6 pH 6.2 Start population Injured 0%

  • Not-injured

100% >30 <10 <10 <10 1D – 2D Injured 95-99% >30 >30 10-20 <10 Not-injured 1-5% >30 >30 10-20 10-20 3D – 4D Injured >99.9% >30 >30 >30 >30 Not-injured <0.1% >30 >30 >30 >30

Source: Hansen & Knøchel 2001, IJFM 63, pp. 135

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28/09/2010 Safe heating and cooling in catering 8 DTU Food, Technical University of Denmark

Safe heating – process criteria

Questions to answer ANSWER

Product type? (fish, meat, vegetables, other) FISH Is the product intended for consumption immediately after heating? (YES, NO) YES Is the product intended for keeping at one of the following conditions

  •  3oC?
  • 5oC for max. 10 days?
  • 5-10oC for max. 5 days?

(YES, NO) Not relevant in this example Does the product contain >3% salt-in-water? (YES, NO) NO Wanted end-temperature in the product? ( 60oC) 65oC

A safe heating process should have a PV corresponding to

4.8 min at 65oC

in the coldest spot

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28/09/2010 Safe heating and cooling in catering 9 DTU Food, Technical University of Denmark

  • 5

5 10 15 20 25 30 35 40 45 50 55 60 65 10 20 30 40 50 60 70 Heating time, min at 80°C Temperature in coldest spot (°C)

Filet of cod in oven

Documentation – the coldest spot

PV65(fish) = 5.3 min PV65(fish) = 3.1 min

  • Unequal product size

(Hansen et al. 1995, IJFST 30, pp. 365)

  • Start-temperature

(Knøchel et al. 1997, ZLUF 205, pp. 370)

  • Location in oven

(Hansen 1996, PhD Afh., p. 47)

  • HTST vs. LTLT

(Hansen 1996, PhD Afh., p. 47)

Factors affecting PV

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28/09/2010 Safe heating and cooling in catering 10 DTU Food, Technical University of Denmark

Safe cooling – process criteria BACKGROUND

  • That temperature profiles during cooling

follow exponentially decreasing relationships when the cooling conditions are constant

Source: Blankenship et al. 1988, AEM 54, pp. 1104

  • That Clostridium perfringens should not reach

a hazardous level

Source: Andersen et al. 2004, JFP 67, pp. 83

A safe cooling process should pass the interval from

50 to 15°C in max. 3 h

in the hottest spot

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28/09/2010 Safe heating and cooling in catering 11 DTU Food, Technical University of Denmark

Simulation of cooling

10 20 30 40 50 60 70 80 90 100 1 2 3 4 5 6 Cooling in water (hours) Product temperature (°C) Start-temperature 87oC Cooling time 5.5 timer End-temperature 2oC

Rice pudding

1 h 48 min

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28/09/2010 Safe heating and cooling in catering 12 DTU Food, Technical University of Denmark

Conclusions

  • The present work served as an example of

using the risk management concept, performance criterion, for the definition of safe heating and cooling in the catering industry

  • It was demonstrated how these performance

criteria could be translated into more practical process criteria by the use of predictive models