Discussion The graphs of the data presented that the percent coverage increased at a non-constant rate until reaching around optimal temperature (38.5°C) and decreased afterwards. The graphs also showed that the number of colonies initially increased to 25, but then decreased by 19 and then increased by 13. For both the number of colonies and percent coverage, there was no bacterial growth at 12°C. Consequently, there are no error bars because the percent coverage and colonial growth was always 0 at this temperature. Both trend lines are represented as polynomial curves. The equation for the graph comparing the number of colonies to temperature (y=.0025x3 - .2046x2 + 4.3706x) is an odd degree polynomial, meaning that the end behavior of …show more content…
Both tests show that when temperature changes from 12°C to 22°C, more Bacillus subtilis will grow. Between 12°C and 38.5°C, the growth of Bacillus subtilis increased, but the number of colonies decreased. Because the t-Stat value of percent coverage (13.95) is greater than the critical one-tail value (1.69), the null hypothesis should be rejected. Similarly, when performing a t-Test for bacterial colonies, the t-Stat value of 4.47 was greater than the one-tail critical value of 1.69, showing that at 38.5°C, there will be fewer colonies than at 12°C. However, as temperature increased, colony size did as well. Therefore, as temperature increased, so did the amount of Bacillus subtilis present. Based on the t-tests between 12°C and 49.5°C, it is determined that the percent coverage of bacteria increases whereas the number of colonies decreases. In the t-Test of the percentages of bacterial growth, the t-Stat value of 11.6 is larger than the critical value of 1.69, and in the t-Test of the number of colonies of Bacillus subtilis, the t-stat value of 8.90 is greater than the one-tail critical value of 1.69, presenting that the null hypothesis should be rejected in both cases. Although the number of colonies decreases, the size of the colonies increased as temperature did, further revealing that there is correlation between temperature change and
To test this hypothesis, four test tubes filled with 9mL of a solution of baker’s yeast, which are exposed to different temperatures. In the four beakers of water, all with a different degree of temperature, the test tubes are placed. Then, a small piece of filter paper soaked in hydrogen peroxide is dropped in the test tubes. The time that it takes from dropping the filter paper into the test tubes until the paper floats at the top is recorded.
Essentially the growth and metabolism of any micro-organisms are profoundly affected by the temperature. For example, for Saccharomyces it’s said to increase the production of alcohol increases with temperature up to 40° (Brown 1914). Any organisms (in order to survive) require adenosine triphosphate (ATP), ATP is produced using cellular respiration. Cellular respiration are metabolic reactions that take place in order to produce ATP, which is essential for any cellular activities whether it is movement, work or temperature maintenance. Cellular respiration involves glycolysis followed by citric acid cycle including the Krebs cycle and oxidative phosphorylation. The most amount of ATP is produced in the Krebs cycle
The water activity also plays a big role in the microbes ability to survive as most cannot grow in a water activity level less than 0.91. Based on observations and construction of a data table, it was shown that the 1% NaCl solution had a water activity level of 0.99, the 7% NaCl solution 0.96 and the 15% NaCl solution 0.91. Based on the table it was expected that there would be no growth in the 15% NaCl solution as most microbes cannot survive at a water activity level of 0.91.
For the temperature treatment, it was decisive in that the A. franciscana showed a steady increase in concentration from section 1 to 4. This expands on the hypothesis that suggests A. franciscana prefers an optimum temperature between 20-24 ̊ C because from the results of the experiment A. franciscana seemed to prefer even higher temperatures. Al Dhaheri and Drew (2003) state that A. franciscana stop reproducing at temperature above 30 ̊ C and compared to the experiments results. It can be concluded that A. franciscana prefer warmer temperatures, but reproduce at lower
Background information: In this lab you will be looking at the growth of bacteria under different conditions to see the how populations of bacteria grow. Read about cells in the text or e-text. For everyone, in your e-text read chapter 13, sections 13.3 and 13.4 to learn more about bacteria. Then answer the questions below.
this means that is the optimal temperature, but in bacterial occur in less time than in fungal
Bacteria are small, unicellular prokaryotic microbes. They have many morphologies, which include rod-shaped, spherical, spirals, helices, stars, cubes, and clubs. Classification of bacteria begins with either aerobic (requiring diatomic oxygen for growth) or anaerobic (not requiring O2 for growth). Bacteria can simply be narrowed down to gram positive (organism that stains purple or blue by Gram stain) or gram negative (organism that stains red or pink by Gram stain). Many physical and nutritional factors influence bacterial growth. Physical factors include temperature (psychrophiles, thermophiles, and mesophiles), pH (neutrophiles, acidophiles, and alkalinophiles), O2 concentration (aerobic
Abstract: Microorganism need to live in ideal conditions so they can grow. This experiment was performed to determine if there was a greater number of microorganisms in Winthrop lake than Winthrop wetlands. We determined this hypothesis because the lake was bigger. We also made the hypothesis that the pH level of the lake was going to be higher than the wetlands. We tested out the hypothesis by going out to Winthrop lake and wetlands and collecting samples of water. Back in the lab, we examined the samples under a microscope and recorded all the organisms we could find on Excel. Also, we tested the pH levels of the
When testing this certain type of bacteria the warm temperature caused it to grow exceptionally fast comparted to the room temperature. Bacteria are single celled microbes. The cell structure is simpler than that of other organisms as there is no nucleus or membrane
Microorganisms need energy and that is generated through these metabolic activities (Jurtshuk, 1996). Through this experiment, it is shows that all the bacteria experienced different metabolic activities in different mediums.
The purpose of this experiment was to come up with the optimal temperature of the Fungal Amylase, Aspergillus oryzae, and the Bacterial Amylase, Bacillus liceniformis, as well as to identify if different temperatures would indeed affect the enzyme amylase by either slowing down the process or denaturing the enzyme. Enzymes are complex proteins, they can be thought of as a substance fabricated by a living organism that behaves as a stimulus, otherwise known as a catalyst, to cause a specific biochemical reaction. This experiment was performed by keeping the amylase mixed with starch at different temperatures, either in the heated water or in the ice bath. The temperatures varied at either 0, 25, 55, or 85 degrees Celsius. After a certain amount of time we would then move the test tubes containing the amylases and position them on a plate where iodine was then added to the starch amylase solution. We would do the same thing at different time intervals to see exactly how the enzyme catalyzed the starch. The hypothesis of this experiment was thought to be that the higher the temperature the slower the enzyme would then hydrolyze the starch. Both the Fungal and the Bacterial Amylase had an optimal temperature of 55 degrees Celsius as shown by our concluded results in this
This experiment is about bacterial growth. We will demonstrate a bacterial growth curve using a closed system. Bacterial growth usually takes up to 12-24 hours to get an accurate result so we will be monitoring this growth between two classes. We also used different methods to determine bacterial growth as well as a few different calculations. One way of receiving data is by using a spectrophotometer where we will record the absorption at a given time to create the bacterial growth curve. We also used the plate count method after performing a serial dilution to calculate the actual cell density at different times given. By using this method we can count the population number of the same given and see the maximum cell density
The purpose of the two experiments was to determine the fundamental effects that temperature has on the growth and survival of bacteria. During the first experiment five different bacterial broth cultures of Escherichia coli, Pseudomonas fluorescens, Enterococcus faecalis, Bacillus subtilis and Bacillus stearothermophilus were individually incubated at temperatures of 5, 25, 37, 45 and 55°C for one week in an aim to distinguish the effect temperature has on growth and survival of the five different species. After one week they were observed for distinguishable changes by the turbidity showing an indication of bacterial growth, or the clarity an indication of no survival.
Spore suspension of Bacillus pumilus was inoculated into universal bottles containing sterile distilled water in water baths at temperatures of 85°C, 90°C and 95°C. At specific time intervals, a sample was removed and spread on nutrient agar plates. The number of colonies formed was used to determine the D-value and z-value. The D-value for 85°C is 64.1 minutes, 25.7 minutes for 90°C and 8.2 minutes for 95°C while the z-value is 11.2°C.
Six experiments were carried in this report concerning the effect that different environmental factors have on microbial growth. The results were recorded into tables where (+) symbolises growth and (–) symbolises no growth.