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Factors affecting survival and growth. FS0501 1. 2000. Traditional food preservation. - Stored in cool caves. Cheese, fruits, vegetables. - Frozen / freeze-dried at. Meat (Switzerland),. high latitudes and altitudes potato (Peru). - Dried in the sun. Tomato (Italy),.
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Factorsaffectingsurvival andgrowth FS0501 1 2000
Traditionalfoodpreservation - Stored in cool caves Cheese, fruits, vegetables - Frozen / freeze-dried at Meat (Switzerland), high latitudes and altitudes potato (Peru) - Dried in the sun Tomato (Italy), fish, meat (South America), Biltong (South Africa) - Smoked / dried over fires - Salted and dried Kipper (UK, smoked herring) Bacalhau (Portugal - dried cod) - Fermented Tempeh, cheese, wine, beer, yoghurt, kefir FS0501 2 2000
Pasteur’sgermtheory Traditional methods work by Preventing contamination Destroying microorganisms Inhibiting growth of undesirable microorganisms FS0501 3 2000
Traditionalfoodpreservation Traditional preservation sometimes fails to preserve the food, or to kill the pathogens. In these cases, spoilage or food poisoning may occur. Examples: salmonellosis from dried beef (Salmonella St. Paul ) and poisoning from tempehbonkrek in Indonesia. FS0501 4 2000
Traditionalfoodpreservation Certain “traditional” foods can be manufactured using industrial processes Example: Soy sauce FS0501 5 2000
Factorsaffectinggrowthof bacteriainfood - Temperature - Time - pH - Water activity (aw) - Oxygen tension - Preservatives - Microbial interactions FS0501 6 2000
Temperature Boiling point 100° SAFETY Pasteurising temperature 72° 60° Body temperature DANGER 36.5° Fridge 10° 0° SAFETY Freezer FS0501 7 2000
Howtemperatureaffects growthrateofabacterialpopulation B (Optimum) C (Minimum) A (Maximum) Cold Hot Temperature FS0501 8 2000
GrowthofS.typhimurium atdifferenttemperatures 9 8 7 25° 20° 6 15° 5 10° 4 3 2 1 0 0 1 2 3 4 5 Time (Days) FS0501 9 2000
Temperaturerange forgrowthofpathogens Temperature°C Min. Opt. Max. Salmonella 5 35 - 37 47 Campylobacter 30 42 47 E. coli 10 37 48 S. aureus 6.5 37 - 40 48 C. botulinum (proteolytic) 10 50 C. botulinum (non-proteolytic) 3.3 25 - 37 B. cereus 4 30 - 35 48 - 501 432 FS0501 10 2000
Temperaturerangeforgrowth oftoxigenicmoulds Temperature °C Min.Opt.Max. Penicillium verrucosum Aspergillus ochraceus Aspergillus flavus 0 20 31 8 28 37 10 32 42 3 25 37 Fusarium moniliforme FS0501 11 2000
Growthofdifferentbacteriaat25°C 9 8 7 6 S. typhimurium 5 L. monocytogenes Ps. fluorescens Log 4 CFU B. cereus 3 C. bot-Proteolytic 2 G+ve Spoilers 1 0 0 1 2 3 4 Time (Days) FS0501 12 2000
Effectoftemperatureontime tobotulinumtoxinproduction 10 9 8 Vacuum-packed hot smoked trout 7 6 Salt concentration = 0.5% 5 4 3 2 1 0 0 5 10 15 20 25 Temperature (°C) FS0501 13 2000
Temperatureaffectsbacteria Lag phase Growth rate Final cell numbers through the change in Enzymatic and chemical composition of cells Nutritional requirements Limits for other factors influencing growth FS0501 14 2000
Effectofsaltconcentrationon time to botulinum toxin production 16 14 12 10 10°C 14°C 18°C 24°C 8 6 4 2 0 0 0.5 1 1.5 2 Salt Concentration (%) FS0501 15 2000
LimitsofpHforgrowthofpathogens pH Min Max. Escherichia coli 4.4 8.5 Salmonella typhi 4 - 4.5 8 - 9.6 Bacillus cereus 4.9 9.3 Clostridium botulinum 4.6 8.5 Staphylococcus aureus 4 9.8 Saccharomyces cerevisiae 2.3 8.6 Aspergillus flavus 2.0 11.2 Fusarium moniliforme 2.5 10.7 Penicillium verrucosum 2.0 10.0 FS0501 16 2000
Definitionofwateractivity(aw) aW = p / po aw is the ratio of the water vapourpressure of the food (p) to that of pure water (po) at the same temperature. FS0501 17 2000
Effectofwateractivityonlagtime of S.aureusinUHTmilkat12°C 120 100 80 60 40 20 0.93 0.94 0.95 0.96 0.97 0.98 Water activity (a w) FS0501 18 2000
NaClandglucoseconcentrationsand correspondingawvaluesat25°C aW % w/w % w/w NaCl Glucose 1.00 0.00 0.00 0.99 1.74 8.90 0.98 3.43 15.74 0.96 6.57 28.51 0.94 9.38 37.83 0.92 11.90 43.72 0.90 14.18 48.54 0.88 16.28 53.05 0.86 18.18 58.45 FS0501 19 2000
MinimumlevelsofaWpermittinggrowth atnearoptimumtemperatures aW Moulds Aspergillus chevalieri 0.71 Aspergillus ochraceus 0.78 Aspergillus flavus 0.80 Penicillium verrucosum 0.79 Fusarium moniliforme 0.87 Yeasts Saccharomyces rouxii 0.62 Saccharomyces cerevisiae 0.90 Bacteria Bacillus cereus 0.92 Clostridium botulinum (proteolytic) 0.93 Clostridium botulinum (non-proteolytic) 0.97 Escherichia coli 0.93 Salmonella 0.95 Staphylococcus aureus 0.83 FS0501 20 2000
RangeofaWinfoods andtheirmicrobialflora aw range foods microbial flora Fresh meats Fresh fish Fresh fruits (C. perfringens, Salmonella) Fresh vegetables Canned vegetables > 0.98 in brine Canned fruit in light syrup (Pseudomonas) (<3.5% salt, 26% sugar) Fermented sausages Processed cheese Bread 0.93 - 0.98 (B. cereus, C. botulinum, Salmonella) Evaporated milk Tomato paste lactobacilli, bacilli and micrococci (10% salt, 50% sugar) FS0501 21 2000
RangeofaWinfoods andtheirmicrobialflora aw range foods microbial flora S. aureus Dry fermented sausages 0.85 - 0.93 Mycotoxin Raw ham (17% salt, producing moulds Spoilage yeasts saturated sucrose) and moulds Dried fruit Flour Xerophilic fungi 0.6 - 0.85 Cereals Salted fish Nuts Halophiles Osmophilic yeasts Confectionery Honey No growth but may remain viable < 0.6 Noodles Dried egg, milk FS0501 22 2000
Factorsaffectingmicrobialgrowth Keymessages Temperature, pH, water activity and oxygen tension are the principal factors affecting microbial growth There are optimum ranges for these parameters These optima are interdependent They can be selected to inhibit the growth of certain organisms within limits related to the palatability of food Certain foods are suited for the growth of certain flora FS0501 23 2000