+ All Categories
Home > Documents > Analysis of Lunch Meat Microbial Contamination Experiment and Analysis by Donald Kline, Jr.

Analysis of Lunch Meat Microbial Contamination Experiment and Analysis by Donald Kline, Jr.

Date post: 13-Jan-2016
Category:
Upload: heather-matthews
View: 217 times
Download: 0 times
Share this document with a friend
Popular Tags:
24
Analysis of Lunch Meat Microbial Contamination Experiment and Analysis by Donald Kline, Jr
Transcript
Page 1: Analysis of Lunch Meat Microbial Contamination Experiment and Analysis by Donald Kline, Jr.

Analysis of Lunch Meat Microbial Contamination

Experiment and Analysis by Donald Kline, Jr

Page 2: Analysis of Lunch Meat Microbial Contamination Experiment and Analysis by Donald Kline, Jr.

Problem of providing safe food

Throughout history, people have been faced with the challenge of not just providing food, but keeping it safe from contamination

Page 3: Analysis of Lunch Meat Microbial Contamination Experiment and Analysis by Donald Kline, Jr.

Problems of having safe meat

• Meat is especially susceptible to disease because it came from a living animal with natural flora like E. coli in addition to diseases the animal could have contracted during its life

• The nutrients in meats provide can provide an excellent growth

source for microbial life

Page 4: Analysis of Lunch Meat Microbial Contamination Experiment and Analysis by Donald Kline, Jr.

Pathogens Pathogens in food are the leading cause of

death in some undeveloped countries, with a death toll of around two million people annually

Medical care for pathogens costs over a billion dollars per year worldwide

Page 5: Analysis of Lunch Meat Microbial Contamination Experiment and Analysis by Donald Kline, Jr.

Common contaminants in meat E. Coli Salmonella Clostridium botulinum Campylobacter jejuni Listeria monocytogenes Clostridium perfringens Staphylococcus aureus

Page 6: Analysis of Lunch Meat Microbial Contamination Experiment and Analysis by Donald Kline, Jr.

Historical ways people kept meat safe

Until 1860, it was thought that food became spoiled through spontaneous generation

Drying using the sun is the oldest form of food preservation

Salting can be an effective means of preserving meat Smoking and heating were other common ways to

keep food safe Meats usually could not be kept safe from

contamination very long

Page 7: Analysis of Lunch Meat Microbial Contamination Experiment and Analysis by Donald Kline, Jr.

Common ways to keep meat safe Keep the meat in a hypertonic environment Sterile packaging Cooking Refrigeration Salting Freeze-Drying Canning and Bottling

Page 8: Analysis of Lunch Meat Microbial Contamination Experiment and Analysis by Donald Kline, Jr.

Preservatives A preservative is used to prevent spoilage in foods

from microbial growth and contamination Common chemical preservatives are calcium

propionate, sodium nitrate, sodium nitrite, sulphites, disodium EDTA, formaldehyde, glutaraldehyde, and methylchloroisothiazolinone

Natural preservatives include salt, sugar, vinegar, and diatomaceous earth. Citric and ascorbic acids can also assist in the preservation of certain foods.

Page 9: Analysis of Lunch Meat Microbial Contamination Experiment and Analysis by Donald Kline, Jr.

Preservatives in this experiment Virginia Brand ham contained water, sugar, salt,

dextrose, potassium chloride, sodium phosphate, sodium erythorbate, sodium nitrite, and sugar

Giant Eagle contained the following preservatives: water, salt, sugar, dextrose, sodium phosphates, sodium erythorbate, and sodium nitrite.

Russer ham contained water, salt, dextrose, sodium nitrate, sodium phosphate, and sodium erythorbate.

Page 10: Analysis of Lunch Meat Microbial Contamination Experiment and Analysis by Donald Kline, Jr.

E. Coli E.Coli is a pathogen that

is found in the lower intestines of warm blooded animals

Represents prokaryotic cell model in this experiment

There are almost 73,000 cases of infection and 61 deaths per year in the United States

Page 11: Analysis of Lunch Meat Microbial Contamination Experiment and Analysis by Donald Kline, Jr.

Yeast Type of yeast used in this experiment was

Saccharomyces cerevisiae Yeasts also contribute to food spoiling by

producing waste products when they metabolize food

Yeasts contribute to making many foods we use today

They represent the eukaryotic cell model in this experiment

Page 12: Analysis of Lunch Meat Microbial Contamination Experiment and Analysis by Donald Kline, Jr.

Purpose and Hypothesis Determine how different brands of sterilized

lunchmeat’s preservatives and ingredients would affect the survivorship of yeast and E. coli cells

The null hypothesis was that the lunch meats would not significantly affect survivorship of S. cerevisiae and E. coli cells

Page 13: Analysis of Lunch Meat Microbial Contamination Experiment and Analysis by Donald Kline, Jr.

Materials• 96 LB agar plates( 1.5 % tryptone, .5 % yeast extract, 1% NaCl, 1.5 % agar)• LB media (1 % tryptone, 5 % yeast extract, 1% NaCl)• 72 YEPD agar plates(1% yeast extract, 2% peptone, 2% dextrose, 1.5% agar)• Sterile dilution fluid (10mM KH2PO4, 10mM K2HPO4, 1mM MgSO4, .1mM CaCl2,

100mM NaCl)• Klett spectrophotometer• Sterile pipette tips and Micropipettors• Vortex• Incubator• Sidearm flask• Spreader bar• Ethanol• 20 mL Sterile capped test tubes• E.coli B• Saccharomyces cerevisiae• Giant Eagle Old Fashioned Ham, Russer Cooked Ham, and Dietz and Watson Virginia Brand Ham• Hole puncher• Metric Scale and weigh boat • Micro burner

Page 14: Analysis of Lunch Meat Microbial Contamination Experiment and Analysis by Donald Kline, Jr.

Procedure1. E. coli B and Saccharomyces cerevisiae were grown over night in a

sterilized media 2. A sample of the overnight cultures were added to separate fresh LB

(bacteria) and YEPD (yeast) in a sterile sidearm flask.3. The cultures were incubated at 37°C (bacteria) and 30°C (yeast) until a

density of 50 Klett spectrophotometer units was reached. These represent cell densities of approximately 108 (bacteria) and 107 (yeast) cells per mL.

4. The cultures were diluted in sterile dilution fluid to a concentration of approximately 105 cells per mL.

5. The hams were sliced, massed to .4 grams for each brand of ham and sterilized separately by soaking in 95% ethanol. After the ethanol was evaporated, the hams were placed in 15mL sterile polystyrene conical tubes.

6. 100uL of the 105 cells/mL cell suspensions were pipetted directly onto the surface of the ham pieces.

Page 15: Analysis of Lunch Meat Microbial Contamination Experiment and Analysis by Donald Kline, Jr.

Procedure 2

7. The tubes were allowed to incubate at room temperature for the following time periods: 0, 45, 90, and 135 minutes (bacteria) and 0, 30, and 60 minutes (yeast).

8. One mL of SDF was pipetted onto the ham/cell mixture and the tubes were gently vortexed.

9. After vortexing to evenly suspend cells, 100uL of the cell suspension was transferred to 9.9mL of SDF and then the SDF was vortexed and 100 uL aliquots were then spread onto either LB agar or YEPD agar.

10. The plates were incubated for 24 hours at 37°C (bacteria), or 48 hours at 30°C (yeast).

11. The resulting colonies were counted. Each colony is assumed to have arisen from one cell.

Page 16: Analysis of Lunch Meat Microbial Contamination Experiment and Analysis by Donald Kline, Jr.

102 cells103 cells/mL

105 cells/mL with ham

108 cells/mL (bacteria) or 107

cells/mL (yeast)

100 uL100 uL

105 cells/mL for both yeast and bacteria

1mL of SDF

100 uL

Page 17: Analysis of Lunch Meat Microbial Contamination Experiment and Analysis by Donald Kline, Jr.

E. coli Survivorship

0200400600800

100012001400

0 45 90 135

Time (minutes)

Co

lon

ies VA

GE

Ru

Co

Page 18: Analysis of Lunch Meat Microbial Contamination Experiment and Analysis by Donald Kline, Jr.

p Values for Bacteria

  Control  Virginia G. Eagle Russer

0 min Bac 0.026904 p › .05 p › .05 p › .05

45min Bac 1.35E-10 p › .05 p ‹  .01 p ‹ .01

90min Bac 1.1E-12 p ‹ .01 p ‹  .01 p › .05

135min Bac 6.83E-13 p › .05 p ‹ .01 p › .05

Page 19: Analysis of Lunch Meat Microbial Contamination Experiment and Analysis by Donald Kline, Jr.

Conclusions for Bacteria Only Giant Eagle Ham had a significant

negative impact on E. coli survivorship. Russer Cooked Ham appeared to have the least

negative impact on E. coli survivorship. The variation was not statistically significant.

Giant Eagle Old Fashioned Ham appeared to have the most negative impact on bacterial survivorship

Page 20: Analysis of Lunch Meat Microbial Contamination Experiment and Analysis by Donald Kline, Jr.

Yeast Survivorship

0

100

200

300

400

500

0 30 60

Time (minutes)

Co

lon

ies VA

GE

Ru

Co

Page 21: Analysis of Lunch Meat Microbial Contamination Experiment and Analysis by Donald Kline, Jr.

Data Chart of p values for yeast

  Control  Virginia G. Eagle Russer

0 min Yeast 0.0258 p › .05 p ›.05 p › .05

30min Yeast 0.327624 p › .05 p › .05 p › .05

60min Yeast 0.013356 p › .05 p ‹ .05 p › .05

Page 22: Analysis of Lunch Meat Microbial Contamination Experiment and Analysis by Donald Kline, Jr.

Yeast Conclusions Giant Eagle ham had a statistically

significant negative impact on yeast survivorship, while Russer cooked ham and Virginia Brand Ham did not

Russer Cooked Ham appeared to have the least negative impact on yeast survivorship. The variation was not statistically significant.

Page 23: Analysis of Lunch Meat Microbial Contamination Experiment and Analysis by Donald Kline, Jr.

Limitations and Extensions

In the process of sterilizing the hams, it might have affected the composition of the preservatives

The moisture content of the hams might have varied due to the sterilizing and drying processes

Some hams might retain the bacteria or yeast on the surface longer than others

Infuse the meats directly into agar to allow longer exposure times for the cells

Sterilize ham with gamma irradiation Use different models of bacteria and eukaryotic cell

models

Page 24: Analysis of Lunch Meat Microbial Contamination Experiment and Analysis by Donald Kline, Jr.

Sources

Centers for Disease Control and Prevention (CDC)

Food and Drug Administration (FDA) Partnership for Food Safety Education

(PFSE) World Health Organization (WHO) Acknowledgement to Professor John Wilson

University of Pittsburgh Biostatistician for his advice and statistical analysis


Recommended