Process Effects on Microbiological Contaminant Levels Phares O. Okelo, Ph.D. Center for Veterinary Medicine/FDA AFSS Public Meeting May 22, 2007 |  |
Slide 2 Outline Ingredient/feed manufacturing processes Process effects on contaminant levels Some examples |  |
Slide 3 Ingredients and Manufacturing Processes (swine diet) | Ingredient Name | Ingredient Origin | Manufacturing Processes |
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Corn (ground) | Corn | Ground or Chopped (entire corn kernel) |
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Soybean meal (solvent extracted) | Soybean | Grinding the flakes which remain after removal of most of the oil by solvent extraction |
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Fish meal (select menhaden) | Fish | Clean, dried, ground tissue of undecomposed whole fish or fish cuttings. May have part of oil extracted. |
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| Spray-dried animal blood cells | Whole animal blood | Separating and spray drying red and white blood cells |
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| Spray-dried whey | Milk | Separating whey from coagulum Spray-drying of whey (whey – fluid from the coagulum from milk, cream or skimmed milk. A portion of the milk fat may have been removed) |
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| | … | … |
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| | Animal, Beef | Rendering or extraction of beef tissue |
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Slide 4 Ingredient/Feed Manufacturing Process Categories Thermal Physical Chemical Other |  |
Slide 5 Ingredient-Contaminant-Process Interactions Manufacturing Process Ingredient Contaminant |  |
Slide 6 Ingredient-Contaminant-Process Interactions ‘cont. Initial Contaminant Levels | -------> | Manufacturing Process | -------> | Final Contaminant Levels |
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Slide 7 Microbiological Contaminants | Fungi | Bacteria |
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| Penicillium spp. | Salmonella enterica | | Aspergillus spp. | E. coli O157:H7 | | Fusarium spp. | Mycobacterium spp. | | | Bacillus spp. | | | Clostridium spp. | | | Pseudomonas spp. | | | Staphylococcus spp. |
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Slide 8 Manufacturing Processes - Thermal
(Temp, time, moisture) - Spray-drying
- Drum/tube-drying
- Fluid-bed drying
- Pelleting
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Slide 9 Manufacturing Processes – Thermal (spray-dried animal blood cells) | | | Red blood cells | | | | | | | | | | | | | | Whole liquid porcine blood | | Separation | | Plasma concentration by filtration | | | | | | | | | | | | | | | | Spray-drying, Air in: 249 – 271 oC Air out: 66 – 74 oC Dwell time: ~ 10 min | | | | | | | | | | | | | | | | plasma meal 8 – 10 % mcf | | Other processes |
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Slide 10 Manufacturing Processes - Physical (psd, temp, press, time) - Grinding
- Pressing
- Centrifugation
- Membrane separation
- Mixing
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Slide 11 Manufacturing Processes - Chemical (aw, time, pH, temp, conc) - Preservatives
- Anti-microbial activity
- Fermentation
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Slide 12 Manufacturing Technologies and Inactivation Kinetics N = Noe-kt Where: N = number of viable bacterial cells after t seconds No = number of bacterial cells at the start of thermal process t = duration of thermal process, s k = activation constant of the organism (death rate), dimensionless |  |
Slide 13 Manufacturing Technologies and Inactivation Kinetics (DT value) DT value The time (min) required to kill 90% of viable vegetative cells or spores at T (oC) DT (min) No 0.1No T oC |  |
Slide 14 Manufacturing Technologies and Inactivation Kinetics (DT value ‘cont.) DT = [2.303/exp(ln ko – Ea / RT)] where: ko = the pre-exponential factor, dimensionless Ea = activation energy of the organism, (J mol-1) R = the universal gas constant, (8.314 J mol-1 K-1) T = absolute temperature of thermal process, K |  |
Slide 15 Manufacturing Technologies and Inactivation Kinetics ‘cont. N = Noe-(ln ko–Ea/RT)t Where: N = # of viable bacterial cells after t seconds No = # of bacterial cells at start of thermal process ko = the pre-exponential factor, dimensionless Ea = activation energy of the organism, (J mol-1) R = the universal gas constant, (8.314 J mol-1 K-1) T = absolute temperature of thermal process, K t = duration of thermal process, s |  |
Slide 16 Manufacturing Processes – Thermal (spray-dried animal blood cells) | 102-103 cells/g Mycobacterium avium | | Red blood cells | | | | | | | | | | | | | | Whole liquid swine blood | | Separation | | Plasma concentration thru membr. filtration | | T ~ 45-50 oC at droplet surface while in drying chamber | | | | | | | | | | Some pigs at slaughter house show porcine tuberculosis – Mycobacterium avium infection | | | | Spray-drying, Air in: 249–271 oC Air out: 66 – 74 oC Dwell time: ~10 min | | | | | | | | | | | | | | | | 8 – 10 % mcf animal plasma meal | | Other processes |
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Slide 17 Inactivation of M. avium – (spray-dried animal blood cells) | T (oC) | T (K) | k | *DT oC (s) | *DT oC (min) | Spray Dryer Dwell Time (min) | Log Reduction (dimension -less) | Percent Reduction (%) |
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| 45 | 318.15 | 3.08291E-05 | 7.5E+04 | 1.2E+03 | 10.0 | 0.01 | 1.8 |
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| 50 | 323.15 | 0.000208655 | 1.1E+04 | 1.8E+02 | 10.0 | 0.05 | 11.8 |
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| 55 | 328.15 | 0.001332263 | 1.7E+03 | >2.9E+01 | 10.0 | 0.35 | 55.0 |
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| 60 | 333.15 | 0.008046048 | 2.9E+02 | 4.8E+00 | 10.0 | 2.10 | 99.2 |
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| 65 | 338.15 | 0.046076483 | 5.0E+01 | 8.3E-01 | 10.0 | 12.01 | 100.0 |
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*predicted DT values for M. avium sp. paratuberculosis |  |
Slide 18 Manufacturing Technologies and Inactivation Kinetics (HHP) | Microorganism | Medium | Temp (oC) | Press (MPa) | DpValue (min) |
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| Salmonella seftenberg | Chicken | 23a | 340a | 7.1a |
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Pseudomonas flourescens | Minced beef | 20b | 150b | 24b |
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aMetrik et al., 1989 bCalrez et al., 1993 |  |
Slide 19 Expert Opinion – Microbes (process effects) If the microbiological contaminant is present in the specified feed ingredient, will the processing step in question 1) increase, 2) reduce, or 3) have no effect on the level of the microbiological contaminant? (Please restrict your estimates to effects occurring only during the specific processing step.) |  |
Slide 20 Expert Opinion – Microbes (magnitude of effect) What is the estimated magnitude, in terms of percentages, of that effect (e.g., 50% reduction, 200% increase, etc.)? |  |
Slide 21 Expert Opinion – Microbes (expert’s certainty on estimate) How certain are you in your estimation? Please use the following scale: - 1 = very uncertain (just a guess)
- 2 = uncertain
- 3 = medium certainty
- 4 = fairly certain
- 5 = very certain (I know what I am talking about!)
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Slide 22 Microbes Inactivation (Expert Opinion Table) 
Conta- minant
| Thermal Processes (T) |
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Cooking/ Rendering | Drying
| Distillation | Pelleting
| Notes |
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| PES | Certainty | PES | Certainty | PES | Certainty | PES | Certainty |
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| Fungi | | | | | | | | | |
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Penicillium spp. | | | | | | | | | |
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Aspergillus spp. | | | | | | | | | |
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Fusarium spp. | | | | | | | | | |
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| Bacteria | | | | | | | | | |
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| Salmonella enterica | | | | | | | | | |
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| … | | | | | | | | | |
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Staphylo-coccus spp. | | | | | | | | | |
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| PES = Processing Effect Score (magnitude of effect, e.g., 50% reduction, 200% increase, etc.) |
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Slide 23 Manufacturing Processes - Thermal (Temp, time, etc) - Spray-drying (~45-55 oC, few min)
- Drum/tube-drying (~35-40, few min)
- Fluid-bed drying (~35-40, few min)
- Pelleting (~66-100 oC, 30-140+ seconds)
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Slide 24 Post Processing Operations (Effects on Level of Microbes) |  |
Slide 25 Final Level of Microbes in Feed The overall estimate of levels of microbes in the feed will be based on the following factors: - Initial levels in ingredients
- Composition of contributing ingredient in diet (%)
- Processing effects
- Daily consumption
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Slide 26 Microbe Inactivation - Levels After Processing (M. avium) | Whole liquid blood | | T Effects | | P Effects | | | | | | | | | | | | | 102 - 103 cfu/g Mycobacterium avium | | | | C Effects | | | | | | | | | | | | Other Ingredients | | Mixing | | Pelleting | | | | | | | | | | | | Final level in feed: x cfu/g | | Final level in feed: 0 cfu/g |
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Slide 26 Microbe Inactivation - Levels After Processing (M. avium) | Whole liquid blood | | T Effects | | P Effects | | | | | | | | | | | | | 102 - 103 cfu/g Mycobacterium avium | | | | C Effects | | | | | | | | | | | | Other Ingredients | | Mixing | | Pelleting | | | | | | | | | | | | Final level in feed: x cfu/g | | Final level in feed: 0 cfu/g |
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Slide 27 
Expert Opinion Worksheet Microbiological Contaminant Conta- minant | Thermal Processes (T) |
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Cooking/ Rendering | Drying | Distillation | Pelleting |
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PES | Certainty | PES | Certainty | PES | Certainty | PES | Certainty |
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Salmo- nella | 93±9.6 | 5±0.5 | 33±27.7 | 3 | 48±47.3 | 3±0.8 | 78±38.6 | 4±1.4 |
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| E. coli | 93±9.6 | 5±0.5 | 33±27.7 | 3 | 48±47.3 | 3±0.8 | 78±38.6 | 4±1.4 |
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Process Effect Score (PES, %): - Increase; - Decrease; NE - No Effect Certainty: 1–Very uncertain; 2-Uncertain; 3-Medium certainty; 4-Fairly certain; 5-Very certain |
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Slide 28 Swine Diet Ingredients | Processes
| Salmonella | E. coli |
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FCP % pos, mean | EOW (PES/C) | FCP % pos, mean | EOW (PES/C) |
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Corn, ground | Grind or chop | 7.69 | 4 | 0 | 4 |
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Soybean Meal, solvent extracted | Solvent extraction, grind | 7.69 | 75 | 0 | 95 |
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Fish Meal, select menhaden | Clean, dry, ground, mechanical extraction | 72 | 90 | 0 | 95 |
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Spray dried blood cells | Spray dry | 72 | 90 | 0 | 95 |
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Dried whey | Coagulate, separation, dry | 72 | 75 | 0 | 75 |
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Choice white grease & Fat | Render | 72 | 95 | 0 | 95 |
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DDGS | Grind, ferment,, distill, dry | 7.69 | 75 | 0 | 75 |
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Slide 29 Summary - Start with diet with known ingredients & composition,
- a list of list of identified microbiological contaminants
- Assess effects of key manufacturing processes on contaminant levels
using established techniques (and available data on: process parameters, microbe levels, expert opinion, etc.) - Use model to estimate final contaminant levels in mixed feed
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Slide 30 Questions ? |  |