David McFall Grade 9 Central Catholic High School.

Slides:



Advertisements
Similar presentations
Nolan Martino Pittsburgh Central Catholic High School Grade 9.
Advertisements

Patrick Doyle Pittsburgh Central Catholic Grade 9.
Smokeless Tobacco’s Influence on Microbial Life
James Brunner Pittsburgh Central Catholic High School Grade 11.
Tyler Barkich Grade 9 Pittsburgh Central Catholic High School.
Antimicrobial effects of Maggot Secretion Charlie Kerr Central Catholic High School.
Austin Brugger Grade 10 Pittsburgh Central Catholic High School.
Soy Product Effects on Microbial Flora Soy Product Effects on Microbial Flora Cameron Herbst Pittsburgh Central Catholic High School.
Citrus Fruit Antimicrobial Effects By John Seabrooke Central Catholic High School Grade 9.
Mouthwash Effects on Microbial Flora
ANTIMICROBIAL EFFECTS OF CINNAMON OIL Michael DeSantis Grade 10 Central Catholic High School.
The Effects Of Temperature and Antibiotic on E.coli and Staph epidermidis James Shaver Grade 9 Central Catholic High School.
Cranberry Juice Antimicrobial Properties Zane Stiles Central Catholic High School Grade 9.
EFFECTS OF FRACKING FLUID ON STAPH. EPIDERMIDIS AND E. COLI LUKE WEARDEN GRADE 11 CENTRAL CATHOLIC HIGH SCHOOL.
The Effects of Chewing Tobacco on Microbial Flora Marco Augello Central Catholic HS Grade 10 Second Year in PJAS.
The Effects of Chlorinated Water on Microbial Life Jeff Van Kooten 9 th Grade Central Catholic High School.
Vitamin D Effects on Microbial Flora
The Effects of Reiki on Bacteria Survivorship Jordan Ciccone Central Catholic High School.
The Effect of Electromagnetic Radiation on Yeast Jamison Beiriger Grade 11 Central Catholic High School.
The Effect of Potassium Nitrate on Microbes By Liam O'Malley 9th Grade Central Catholic High School.
T HE E FFECT OF S HIITAKE M USHROOMS ON B ACTERIA G ROWTH Matthew Scotti PJAS Central Catholic High School Grade 9.
Alex Senchak Grade 9 Central Catholic High School 1 Colloidal Silver Antibacterial Assessment.
The Effects of Antibiotics on Yeast Survivorship
Grade 11 Central Catholic High School Effects of Whey Protein on Microbial Survivorship William McCarthy.
Does Estrogen Affect Escherichia coli Survivorship? Robert McKinstry Central Catholic High School.
Survivorship of E. coli in Ice cubes Cameron Herbst Pittsburgh Central Catholic High School.
David McFall. How caffeine interacts with the body  The binding of the hormone adenosine to an adenosine receptor in the brain brings about sleep. 
HONEY ANTIMICROBIAL EFFECTS Alicia Grabiec Freeport Senior High School Grade 10.
The Antibacterial Effects of a Household Cleaner Greg Vojtek Central Catholic Pittsburgh Grade 9.
Does Estrogen Affect Escherichia coli Survivorship? Robert McKinstry Central Catholic High School.
Austin Brugger Grade 9 Pittsburgh Central Catholic High School.
Oil of Oregano Antibacterial Assessment 1 Alex Senchak Grade 10 Central Catholic High School.
By: Luke Beck Pittsburgh Central Catholic HS PJAS 2012 Grade 11 Synergistic Drug Effects on Microbial Flora.
John DeSantis Grade 9 Pittsburgh Central Catholic High School.
Microbial Survivorship in River Water John Crelli Grade 10 Pittsburgh Central Catholic High School.
Microbial Survivorship in River Water John Crelli Grade 10 Pittsburgh Central Catholic High School.
The Effects of Calcium on the Human Microbial Flora Libario Obeid Grade 11 Central Catholic High School.
Aquatic Thermal Tolerance of E.coli
Siddarth Narayan Grade 9 North Allegheny Intermediate High School.
Cigarette Leachate Effects on Microbial Survivorship By Jack Devine.
John DeSantis Grade 10 Central Catholic High School.
Microbial Survivorship in River Water John Crelli Grade 10 Pittsburgh Central Catholic High School.
The Effects of Alcohol and Nicotine on Microbial Flora Jeff Van Kooten Grade 11 Pittsburgh Central Catholic High School.
David McFall. Coffee Americans consume 400 million cups of coffee per year. Coffee has a high caffeine content due to its high concentration in its endosperm.
Siddarth Narayan Grade 9 North Allegheny Intermediate High School.
Effects of E-vapor Juice on Microbial Flora
Effects of Ethyl Alcohol on Microbial Survivorship
Synergistic Effects of Cooking Products on Microbial Life
Microbial Survivorship in River Water
The Effects of Pepper Oil on E. Coli Survivorship
Hydrogen Peroxide Influence on Microbial Survivorship
Synergistic Effect of Ibuprofen and Alcohol on Flora
Microbial Survivorship in River Water
Toxicity Effect of Food Dye on Microbes
Hydrogen Peroxide Anti-Microbial Effects
The Effects of Antibiotics on Yeast Survivorship
The Effects of Capsaicin on Microbes
Theraflu Effects on Microbial Flora
Microbial Survivorship in River Water
The Antibacterial effect of Caffeine on E.coli
Effects of Lemon Juice On E. Coli Survivorship
Effects Of Fertilizer on Yeast Cell and E. Coli Survivorship
The Effects of Ginseng on Microflora Survivorship
The Antibacterial effect of Caffeine on E.coli
Microbial Survivorship in River Water
The Effect of Oregano Oil on E. coli
The Effects of antibacterial hand soap on bacteria survivorship
Effects of Acne Medication on Staphylococcus Epidermidis
The Antibacterial effect of Caffeine on E.coli
Presentation transcript:

David McFall Grade 9 Central Catholic High School

Coffee Americans consume 400 million cups of coffee per year. Coffee has a high caffeine content due to its high concentration in its endosperm. Coffee can be decaffeinated by a treatment of methylene chloride.

The Effects of Coffee  Coffee’s side effects are drawn from the release of the hormone epinephrine, shown here. The most notable effects include:  high heart beat  high blood pressure  higher blood sugar content  tense muscles Epinephrine

How caffeine interacts with the body  The binding of the hormone adenosine to an adenosine receptor in the brain brings about sleep.  Caffeine blocks adenosine from being connected to the adenosine receptor.  The hormone epinephrine is then produced. This creates the notable effects of caffeine.

20 mg of Caffeine per ounce0.6 to 1.4 mg of Caffeine per ounce Starbucks X-bold Sumatra Roast (CAFF) Starbucks Decaf House Blend (DCAFF)

 Usually, when an ingested material is used as a variable, its effects on the human that ingested it are recorded and observed.  However, this experiment deals with the ingested material’s effect on the flora of the human body.

Escherichia coli  Escherichia coli is a large and diverse group of gram (-) bacteria.  It is found in the intestinal tract of most animals, including humans.  Estimated to cause infection in more than 70,000 patients a year in the United States.  E. coli has been tested in conjunction with caffeine before in previous studies.

 A study from the Lithuanian State Science and Studies Foundation concluded that when in high concentration, caffeine lowers the population of E. coli.  Another study from the Indiana University School of Medicine supported the previous study.

 To determine the effect of coffee on human coliform populations.

Null Hypothesis: Neither caffeinated nor decaffeinated coffee will have an effect on the survivorship of E. coli. Alternative Hypothesis: Caffeinated and decaffeinated coffee will significantly affect survivorship.

 E. coli  Latex Gloves  Micropipettes  Micro tubes  Starbucks X-bold Sumatra Roast  Starbucks Decaf House Blend  Sterile Dilution Fluid (SDF) (per 1 liter) (100mM KH 2 PO 4, 100mM K 2 HPO 4, 10mM MgSO 4, 1mM NaCl)  58 LB agar plates  LB media (Per Liter:1% Tryptone, 0.5% Yeast Extract, and 1% NaCl)  2 syringe Sterile Filters  Bunsen Burners  Spread Bar  Incubator  Ethanol  Matches  Vortex  Klett Spectrophotometer

1.E. coli was grown overnight in sterile LB agar. 2.A sample of the overnight culture was added to fresh media in a sterile sidearm flask. 3.The culture was placed in an incubator (37°C) until a density of 50 Klett spectrophotometer units was reached. This represents a cell density of approximately 10 8 cells/mL. 4.The culture was diluted in sterile dilution fluid to a concentration of approximately 10 5 cells/mL. 5.Caffeinated and decaffeinated coffee was mixed with the appropriate amount Sterile Distillation Fluid to create coffee concentrations of 10%, 1%, and.1% µL of cell culture was then added to the solutions, yielding a final volume of 10 mL and a cell density of approximately 10 3 cells/mL. 7.The solutions were vortexed and allowed to sit at room temperature for 15 minutes µL aliquots were removed from the tubes and spread on LB plates. 9.The plates were incubated at 37 degrees for 24 hours. 10.The resulting colonies were counted visually. Each colony was assumed to have arisen from one cell. 11.The appropriate statistical analyses were performed to adequately assess the hypothesis.

1.Repeat steps 1-6 in the Preliminary Procedure. 2.Both brands of coffee were brewed as directed. 3.The coffee was then sterile filtered µL of sterile coffee were removed from the tubes and spread on LB plates µL of E. coli (control tube) was removed from the tubes and spread on LB plates. 6.The plates were incubated at 37 degrees for 24 hours. 7.The resulting colonies were counted visually. Each colony was assumed to have arisen from one cell. 8.The appropriate statistical analyses were performed to adequately assess the hypothesis.

Control.01x.1xx E. coli0.1 ml Sterile Dilution Fluid (SDF)9.9 ml9.89 ml9.8 ml8.9 ml Coffee0 ml0.01 ml0.1 ml1 ml Total Volume10 ml Chart of Concentration

T Critical= 3.49 (Significant) Variable Concentration T Value Interpretation.01x CAFF2.2 Insignificant.1x CAFF3.46 Insignificant x CAFF4.78 Significant.01x DCAFF7.63 Significant.1x DCAFF4.54 Significant x DCAFF3.69 Significant

 Did liquid exposure to coffee significantly effect survivorship?  P-Value 7.29E-8 Significant  Which coffee exposures significantly effected survivorship?  10% Caffeinated Exposure T-Value 4.78 Significant  0.1% Decaffeinated Exposure T-Value 7.63 Significant  1% Decaffeinated Exposure T-Value 4.54 Significant  10% Decaffeinated Exposure T-Value 3.69 Significant  Did caffeinated coffee vary from decaffeinated in survivorship?  0.1% CAFF-P-Value 1.41E-3 Significant  1% CAFF-P-Value 0.28 Insignificant  10% CAFF-P-Value 0.62 Insignificant  Did continuous exposure to coffee (Infused Plates) alter survivorship?  CAFF-P-Value 0.12 Insignificant  DCAFF-P-Value 0.3 Insignificant

 It seems as if caffeinated coffee increased the population of E. coli, but only in the 10% concentration.  Decaffeinated coffee, on the other hand, seemed to increase the population of E. coli in all concentrations.

 Plating was not exactly synchronized(10 minute lag), which could have resulted in extra time for bacterial replication. A team of students could remedy this technical problem.

 Test more brands of coffee  Use a different model  Test coffee in conjunction with other caffeinated beverages, such as tea or energy drinks

  ngredients%2Bin%2Bcoffee%2Band%2Btea.htm    