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Control of Pathogens in the Food Industry: A Global Food Company


Control of Pathogens in the Food Industry: A Global Food Company s Perspective Controle de Pat genos na Industria de Alimentos: A Perspectiva de una Empresa ... – PowerPoint PPT presentation

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Title: Control of Pathogens in the Food Industry: A Global Food Company

Control of Pathogens in the Food Industry A
Global Food Companys Perspective Controle de
Patógenos na Industria de Alimentos A
Perspectiva de una Empresa Multinacional de
III Simpósio Internacional de Inocuidade de
Alimentos (ABRAPA) VIII Simpósio
Brasileiro de Microbiologia de Alimentos
Dr. Paul A. Hall Sr. Director Microbiology and
Food Safety Glenview, IL
October 26, 2004 Sao Paulo, Brasil
Kraft Foods Company Facts
  • 2003 net revenues of more than 31 billion.
  • Largest food and beverage company in North
    America and second largest in the world.
  • Brands marketed in over 150 countries globally.
  • More than 100,000 employees operating in more
    than 68 countries.
  • 197 manufacturing facilities worldwide at the end
    of 2003.

Kraft Foods Company Facts
  • The Kraft brand portfolio is one of the
    strongest in the world.
  • Number one share position in 11 global
    categories, 22 of the top 25 categories in the
    U.S., and 18 of the top 25 categories

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Producing Safe Food is our First Priority
  • Consumer Protection Trust
  • Consumer trust
  • Food Safety is critical to that trust
  • Business Survival
  • Our brands are most important assets
  • Industry Responsibility
  • Committed to food safety across the food chain

Methods to Reduce the Risk from Pathogens in Food
  • Prevent inadvertent contamination
  • Inhibit growth
  • Remove contamination

Adapted from Sofos, et al., 1998
Top Line Summary
  • Public health is best protected by control of
    Pathogens via
  • Aggressive environmental monitoring
  • Effective corrective actions
  • Proper equipment design
  • Adherence to GMPs and SSOPs
  • Proper handling practice
  • Refrigerate perishable RTE products at lt40 F
    (lt4.40º C)
  • Consume perishable RTE products quickly
  • Appropriate intervention strategies
  • Formulation (e.g. lactate salts/sodium diacetate)
  • Post-packaging treatments

Pathogen Control Approaches/ Interventions
  • HACCP and Prerequisite Programs
  • Sanitation and GMPs
  • Environmental Monitoring Program
  • Ingredient Specifications
  • Product Formulation
  • Vendor Qualification Quality Expectations
  • Auditing and Certification Programs
  • New Processing Technologies
  • Improved Detection Methods
  • Good agricultural Practices/On-Farm Controls

Pathogen Control - Listeria monocytogenes as an
  • Certain foods pose an increased risk of being
    associated with listeriosis
  • These foods have the following properties
  • Have the potential for contamination with LM
  • Support the growth of LM to high numbers
  • Are ready-to-eat foods
  • Require refrigeration
  • Stored for extended periods of time

Pathogen Control - Listeria monocytogenes as an
  • Foods can be classified according to their risk
    based on their properties and history of known

US FDA Listeria Risk Assessment
Decreased Risk per Annum
Clusters A and B Clusters C and D Cluster E
Very High Risk Deli Meats Frankfurters (not reheated) High Risk Pâté and Meat Spreads Unpasteurized Fluid Milk Smoked Seafood Moderate Risk No food categories Cluster 1
High Risk High Fat and Other Dairy Products Pasteurized Fluid Milk Soft Unripened Cheese Moderate Risk Cooked RTE Crustaceans Moderate Risk No food categories Cluster 2
Moderate Risk No food categories Moderate Risk Deli-type Salads Dry/Semi-dry Fermented Sausages Frankfurters (reheated) Fresh Soft Cheese Fruits Semi-soft Cheese Soft Ripened Cheese Vegetables Low Risk Preserved Fish Raw Seafood Cluster 3
Moderate Risk No food categories Low Risk No food categories Very Low Risk Cultured Milk Products Hard Cheese Ice Cream and Other Frozen Dairy Products Processed Cheese Cluster 4
Decreased Risk per Serving
Differentiating Risk in Processed Meats
  • Reheated versus unheated hot dogs
  • Dried and semi-dried meats
  • Pate
  • A significant portion (gt70, hot dogs andgt50
    deli meats) of RTE processed meats have been
    formulated with growth inhibitors
  • Deli meats really are four product categories
  • With and without inhibitors
  • In store sliced and packaged
  • Commercially prepackaged

Industry actions to reduce the risk L.
monocytogenes in RTE products
  • Training of industry through comprehensive
    Listeria control workshops.
  • Review of Listeria control workshop materials
    with USDA staff
  • The use of a thermal treatment after a product
    has been packaged to destroy Listeria
  • Use of new ingredients to inhibit the growth of
    Listeria monocytogenes on ready-to-eat meat and
    poultry. Many products now contain these
  • Development of new principles for processing
    equipment design that facilitate sanitation and
    reduce the possibility of bacteria being
    "harbored" in tiny spaces like the thread of an
    exposed screw or a hollow roller on a conveyer

Industry actions to reduce the risk L.
monocytogenes in RTE products
  • Sophisticated new environmental sampling programs
    that work to target Listeria in the plant
    environment so it can be destroyed before it is
    transferred to products.
  • Research to discover new technologies.
  • Declaration by the meat and poultry industry that
    food safety is a "non-competitive issue," which
    resulted in the free exchange of food safety
    information among competitors.

Prevalence of Listeria monocytogenes in Sliced
Lunchmeats and Franks
FSIS Results of ready-to-eat products analyzed
for Listeria monocytogenes
Incidence of Foodborne Illness 1996-2002
National Health Objective .25
Preliminary FoodNet Data on the Incidence of
Foodborne Illnesses --- Selected Sites, United
States, 2002
Pathogen Control - Listeria monocytogenes as an
  • Product reformulation can be a powerful tool for
    reducing consumer risk
  • Microbial models can be used to optimize product
    quality and product safety

Modeling Approaches
  • Kinetic Models
  • Fit growth curves, derive rate constants.
  • Develop multiple regression model for growth rate
    constants as a function of predictor variables.
  • Predict amount of growth after time.
  • Boundary model
  • Define growth threshold ? measure time to growth.
  • Develop generalized regression model for time to
    growth as a function of predictor variables.
  • Predict time before growth occurs.

Intro to Boundary Models
  • Predict time-to-event (e.g., failure, spoilage,
    growth) as a function of predictor variables.
  • Commonly used in
  • Engineering time-to-failure of a new design
  • Medicine efficacy of different drugs and doses
    on mortality
  • Social sciences prisoner recidivism by treatment
  • Use generalized regression to get predictive
    model and develop contour maps to show boundary
    between growth and no-growth.
  • Handles censored observations.
  • Uses maximum likelihood estimation (get log
    likelihood, not R2.)

Define Growth Threshold
An increase of 1 log10 or more in L.
monocytogenes count, determined by expert review
of growth curves
  • Smallest change distinguishable from noise.
  • IFT expert panel 2001 a 1 log increase is an
    appropriate level of control for L.
  • Evaluation and definition of potentially
    hazardous foods. December 31, 2001. IFT/FDA
    contract no. 223-98-2333 task order no.4.
    Chapter 6 section 9 pass/fail criteria.
  •    http//

Experimental Design Processed Meats
  • Central composite design for four continuous
  • NaCl 0.8 1.5 2.2 2.9 3.6
  • Moisture 45.5 55.0 64.5 74.0 83.5
  • Na diacetate 0.0 0.05 0.10 0.15 0.20
  • K lactate syrup 0.25 2.5 4.75 7.0 9.25
  • Repeated for uncured products, ? 5th variable
  • Model products were made, inoculated, stored at 4
    C, and assessed every 2 weeks for LM count.
  • Seman, D.L., et al. (2002) J. Food Protection,
    65, 651-658.

Model Performance Summary
Model gives good description of the data used to
create it.
Contours of weeks to 1 log growth of L.
monocytogenes in cured products calculated using
the boundary model with growth and no-growth
modeling and validation observations
Potential Graphical Output from Boundary Model
  • Simple spreadsheet
  • Calculate time to growth from formula
  • Calculate lactate from shelf-life
  • Plot growth boundary
  • Available from Purac America on free CD

Listeria Growth Inhibition Estimated Benefit to
Public Health
Predicted Log Counts/gm
1/7,500 risk
1/75 MM risk
1/750 MM risk
Based on Growth Model and median mortality risk
for neonates published in FDA/USDA risk analysis
Figure IV-5
Estimated 95th Percentile Mortality Risk
- 50 g serving of product - Lm growth from an
initial level of 1CFU/g
Intermediate- Age Neonatal Elderly
Initial 1 CFU/g 5 x 10-12 1 x 10-9 4 x 10-11
After 3 log Growth 2 x 10-9 5 x 10-7 2 x 10-8
After 6 log Growth 1 x 10-6 3 x 10-4 1 x 10-5
After 8 log Growth 8 x 10-5 2 x 10-2 9 x 10-4
Source Interpolation from FDA Fall 2003 Listeria
monocytogenes Risk Table IV-12
  • Project Forward controls Listeria in the
  • Using environmental sampling we systematically
    seek out and find sources and take corrective
  • Goal - Identify possible technology solutions to
    achieve zero pathogen risk in RTE meat products
  • Through formulation, we can further reduce risk
    resulting in greater public health protection

Concurrent Approach to Address Public Health
PROJECT FORWARD Preventative Corrective
PROJECT ZERO Potential Technical Solutions
  • Formulation
  • Product/Process Handling
  • Post Packaging Pasteurization
  • Internal Plants
  • External Network

Project Forward - Listeria Control Program
3-Stage Approach to Address Preventative
Corrective Actions
Sanitation / Environmental Practices
Personnel Training
Facility / Equipment Design
  • Intensive Environmental swabbing
  • Footwear / clothing
  • Traffic patterns
  • Sanitation
  • Maintenance
  • Facility layout
  • Floors
  • Design for Sanitation
  • GMPs
  • Maintenance
  • Sanitation
  • Behavior based food safety

Logic Behind Environmental Control Program
  • Listeria Control Equation based on premise that
    intensive environmental monitoring is effective
    in understanding the plant environment to control

Listeria Equation
Dry, Uncracked, Clean Floors
Traffic Patterns
Sanitation Procedures
Sanitary Design

Listeria Control
Mismanagement of any of the components may
increase the risk of cross contamination.
Logic Behind Environmental Control Program
  • Listeria Control Equation based on premise that
    intensive environmental monitoring is effective
    in understanding the plant environment to control
  • Systematic, disciplined approach to seek out,
    find and eliminate the undesirable conditions
    which could support harborage or transference of
    indicator organisms

Sanitary Zones
Zone 4 Locker rooms cafeteria halls
Environmental Monitoring Approach
  • Timely assessment of control of RTE environment
  • Biased intensive sampling during production to
    validate all components
  • Large surface areas sampled for Listeria genus
  • Sampling is randomized (by the day of the week
    and shift)
  • Every RTE processing line must be sampled weekly
  • Sampling plans need to be flexible and tailored
    to each specific line and facility

Logic Behind Environmental Control Program
  • Listeria Control Equation is based on premise
    that environmental monitoring is effective in
    understanding the plant environment to control
  • Systematic, disciplined approach to seek out,
    find and eliminate the undesirable conditions
    which could support harborage or transference of
    indicator organisms
  • Focus improvement efforts (capital and resources)
    as directed by results follow the data

Logic Behind Environmental Control Program
Finished product testing has significant
Probability of Missing Contamination
Contamination in Lot
Number of Samples Tested
3 73 94 97 99 10 35 82 90 95 60 lt0.5 3
0 55 74 120 lt0.5 8.5 30 55 180 lt0.5 2.6
16 41 240 lt0.5 0.8 9 30
Logic Behind Environmental Control Program
  • Statistics demonstrate that finished product
    testing has severe limitations
  • Finished product sampling is not preventative and
    does not help identify root cause of
  • Disciplined approach to monitoring promotes
    knowledge and awareness of the environmental
    conditions that could result in product
  • If there is an effective kill step in the
    process, and if there is no Listeria in the
    environment, there will be no Listeria in the
    finished product
  • Public health protection is better served with
    an aggressive environmental program

Logic Behind Environmental Control Program
  • To verify effectiveness of the program, we
    monitor all components in the Listeria equation
  • Of 100 RTE meat production lines
  • 50 no positive contact surfaces
  • 84 single occurrence
  • These results indicate the level of Listeria is
    very low in our environment
  • Low levels in the environment are not likely to
    result in product contamination

Low Levels in the Environment Enumeration Data
  • Counts of gt10 per area swabbed only seen on floor
    after 2 shifts, or in niches
  • Environmental samples of product contact surfaces
    tested for Listeria have been enumerated.
    Positive samples that were enumerated contained
    less than the detection limit of the methods (MOX
    and MPN)
  • Data supports concept that random positive
    product contact surfaces contain few Listeria
    (lt10) that can be transferred to product

Corrective Actions
In the event of a positive Listeria species
environmental sample, Kraft requires follow
up/corrective actions. Typical corrective actions
  • Review of cleaning records
  • Review of environmental data of the area as well
    as adjacent areas

Corrective Actions (contd)
  • Review of line records, for mechanical downtime
  • Audit and interview employees concerning
    practices during sanitation, set-up, and
  • Inspections of the area and equipment for
    potential harborage points
  • Complete a targeted clean

Benefits of Aggressive Environmental Monitoring
/ Corrective Actions
Percent Positive
Zone 1 Positive Percent Listeria spp. Positive
Graph 1 values calculated with the formula (total
zone 1 composite total follow up positive) /
(total zone 1 composite samples 5) (total
follow up samples)
Project Forward Validation Program
  • To measure monitoring program effectiveness, a
    validation program is in place to assure that the
    samples taken represent the actual conditions of
    the entire environment at a given time.
  • Includes multiple sampling points during
  • Pre-op
  • Operation
  • 2nd shift operation
  • One day for two consecutive weeks
  • Completed once every six months

Regulatory Goal
  • Protect public health
  • Success depends upon locating Listeria--finding
    positive results--and taking proper action
  • Even with effective control, environment will not
    be completely Listeria negative
  • Utilize appropriate interventions to reduce
    public health risk

  • Public Health is best protected by
  • Implementation of a validated Listeria control
  • Aggressive environmental monitoring
  • Effective corrective actions
  • Incorporation of appropriate intervention
  • Proper handling practices
  • No Listeria monocytogenes exceeding regulatory
    limit in food in commerce

Obrigado pela atenção! Perguntas?