Wait a second!
More handpicked essays just for you.
More handpicked essays just for you.
How does population growth affect the environment
Effects of the environment on overpopulation
Effects of the environment on overpopulation
Don’t take our word for it - see why 10 million students trust us with their essay needs.
Recommended: How does population growth affect the environment
Limiting factors are components or conditions of an environment that prevent a population from continually growing. Nutrients are one type of limiting factor that can affect the growth of a population. Bacteria, for example, are unable to synthesize fundamental chemical elements necessary for growth, therefore, they rely on their environment to provide these important factors. While the bacteria are growing, they are using up the supply of available elements, and as growth continues, the element that is present in the lowest concentration related to the demand will eventually run out causing the bacteria to stop growing. Environmental factors can also limit the growth of a population. Bacteria are sensitive to the pH of their environment and if the pH is not within the optimal range for growth, bacteria may stop growing. …show more content…
This was accomplished by preparing tubes of complex media with different concentrations of glucose and buffer and inoculating the tubes with E. faecalis. E. faecalis bacteria use the glycolytic pathway to ferment sugar in order to obtain energy. As a byproduct of fermentation, two molecules of acid are released for each molecule of sugar that is processed. The absorbance of each tube was recorded over a 5 hour period to determine the amount of bacterial growth. The generation time (g) was calculated in order to determine the rate of growth. I hypothesized that increasing the concentration of glucose in the medium would increase the amount of growth and decrease the generation time of E. faecalis. Therefore, I predicted that the inoculated tube containing the highest concentration of glucose would have the highest final absorbance value and lowest g
Data from Table 1. confirms the theory that as the concentration of glucose increases so will the absorbance of the solution when examined with the glucose oxidase/horseradish peroxidase assay. Glucose within the context of this assay is determined by the amount of ferricyanide, determined by absornace, which is produced in a one to one ratio.1 Furthermore when examining the glucose standards, a linear calibration curve was able to be produced (shown as Figure 1). Noted the R2 value of the y = 1.808x - 0.0125 trend line is 0.9958, which is statistically considered linear. From this calibration curve the absorbance values of unknowns samples can be compared, and the correlated glucose concentration can then be approximated.
I identified the genus and species of an unknown bacterial culture, #16, and I applied the following knowledge of morphologic, cultural and metabolic characteristics of the unknown microorganism according to the laboratory manual as well as my class notes and power point print outs. I was given an incubated agar slant labeled #16 and a rack of different tests to either examine or perform myself; the tests are as follows: Gram Stain; Nutrient Gelatin Test; Carbohydrate Fermentation; Dextrose, Lactose and Sucrose; IMVIC tests; Citrate, Indole, Mythel-Red and Vogues Proskauer test; as well as a Urease and TSI Test. Materials and Methods/Results Upon receiving the Microorganism (M.O.) #16, I prepared a slide by cleaning and drying it. Then, using a bottle of water I placed a sterile drop of water on the slide and used an inoculating loop, flame sterilized, I took a small sample of the unknown growth in my agar slant and smeared it onto the slide in a dime sized circle and then heat fixed it for ten minutes.
However, only experiments IV “Effect of Copper Metal” and V “Effect of Temperature” had reasonable results, so copper metal and temperature are the more effective factors. The less effective factors are the changes in concentrations of "H" ^"+" ions and "C" _"2" "O" _"4" "H" _"2" particles. This observation is represented in experiments II “Effect of "H" ^"+ " Ions” and III “Effect of "C" _"2" "O" _"4" "H" _"2" Concentration.” Both runs 2B and 2C had the fastest times of 25 seconds and 86 seconds
The first day an unknown sample was assigned to each group of students. The first test applied was a gram stain to test for gram positive or gram-negative bacteria. The morphology of the two types of bacteria was viewed under the microscope and recorded. Then the sample was put on agar plates using the quadrant streak method for isolation. There were three agar plates; one was incubated at room temperature, the second at 30 degrees Celsius, and the third at 37 degrees Celsius. By placing each plate at a different temperature optimal growth temperature can be predicted for both species of bacteria.
These labels indicated the lactose solution that was be placed into the mini-microfuge tubes. The varying lactose ph solutions were obtained. The four miniature pipets were then used, (one per solution,) to add 1mL of the solution to the corresponding mini-microfuge tubes. When this step is completed there were two mini-microfuge tubes that matched the paper towel. Then, once all of the solutions contained their respective lactose solutions, 0.5mL of the lactase enzyme suspension was added to the first mini-microfuge tube labeled LPH4 on the paper towel, and 4 on the microfuge tube. As soon as the lactase enzyme suspension was added to the mini-microfuge tube, the timer was started in stopwatch mode (increasing.) When the timer reached 7 minutes and 30 seconds, the glucose test strip was dipped into the created solution in the mini-microfuge tube for 2 seconds (keep timer going, as the timer is also needed for the glucose strip. Once the two seconds had elapsed, the test strip was immediately removed, and the excess solution was wiped gently on the side of the mini-microfuge tube. The timer was continued for 30 addition seconds. Once the timer reached 7:32 (the extra two seconds accounting for the glucose dip), the test strip was then compared the glucose test strip color chart that is found on the side of the glucose test strip
Thorough analysis of the graph displayed enough evidence suggesting that an increase in substrate concentration will increase the height of bubbles until it reaches the optimum amount of substrate concentration, resulting in a plateau in the graphs (figure 2). Hence; supported the hypothesis.
Before the start of the experiment, the theoretical yield was to be calculated. First, the limiting reagent was determined from the reagents by comparing the amount of moles; the two acids - phosphoric and concentrated sulfuric acid - were found to be the limiting reagent, because their moles combined was less than the amount of moles of 2-methylcyclohexanol. The theoretical yield, which is the amount of product that could be possibly produced after the completion of a reaction (“Calculating Theoretical and Percent Yield”), was found to be 4.4 g. Once the product was achieved, it was determined to have a percent yield of 95%. As a result, the dehydration of 2-methylcyclohexanol has been very successful.
According to the graph on amylase activity at various enzyme concentration (graph 1), the increase of enzyme dilution results in a slower decrease of amylose percentage. Looking at the graph, the amylose percentage decreases at a fast rate with the undiluted enzyme. However, the enzyme dilution with a concentration of 1:3 decreased at a slow rate over time. Additionally, the higher the enzyme dilution, the higher the amylose percentage. For example, in the graph it can be seen that the enzyme dilution with a 1:9 concentration increased over time. However, there is a drastic increase after four minutes, but this is most likely a result of the error that was encountered during the experiment. The undiluted enzyme and the enzyme dilution had a low amylose percentage because there was high enzyme activity. Also, there was an increase in amylose percentage with the enzyme dilution with a 1: 9 concentrations because there was low enzyme activity.
The sucrose balloon continued to grow after 10 minutes, while the maltose balloon growth tapered off. As the CO2 production from the maltose, water, yeast mixture decreased between 10 and 15 minutes; the sucrose, water, yeast set was increasing. This difference, even after the 15 minute sizing where the maltose balloon increased a bit, gradually, in size, was enough to illustrate the overall outcome of the experiment. Sucrose added into water and yeast created the largest balloon through carbon dioxide production of the yeast fermentation process. Maltose, the next largest balloon of the three tested, had an increase of size at first, proving that the yeast did ferment more than the control group, but not as steadily as sucrose. In total, the data we gathered through the experimental process proved our hypothesis: added sugars enhanced the fermentation of
The purpose of this lab was to figure out the percentage yield of PbI2 that will be produced along with confirming our hypothesis as to what the limiting reagent would be.
This lab attempted to find the rate at which Carbon dioxide is produced when five different test solutions: glycine, sucrose, galactose, water, and glucose were separately mixed with a yeast solution to produce fermentation, a process cells undergo. Fermentation is a major way by which a living cell can obtain energy. By measuring the carbon dioxide released by the test solutions, it could be determined which food source allows a living cell to obtain energy. The focus of the research was to determine which test solution would release the Carbon Dioxide by-product the quickest, by the addition of the yeast solution. The best results came from galactose, which produced .170 ml/minute of carbon dioxide. Followed by glucose, this produced .014 ml/minute; finally, sucrose which produced .012ml/minute of Carbon Dioxide. The test solutions water and glycine did not release Carbon Dioxide because they were not a food source for yeast. The results suggest that sugars are very good energy sources for a cell where amino acid, Glycine, is not.
To start this study, nine labeled test tubes were setup with precise amounts of 2mL of deionized water, and 1ml of 50-50 corn syrup to water mixture. The addition of 1mL of yeast would also be added, but this will not be added until the fermentation apparatus is assembled in the water bath and ready to begin the reaction. The assemble of our apparatus included submerging and combining of the test tube and tubing with a stopper to ensure no air is in the apparatus. Then the assemble would be put this apparatus with water inside a Styrofoam cup, to ensure temperature is conserved best, and prepare to add the test tube with controlled substance to the test tube and stopper. The water baths at different temperatures are the only variables changed. One water bath was set up as the control group at room temperature, 28°C. The second water bath was setup to 0.4°C by use of ice water, and third bath used hot water at 49°C. Right before adding the test tube with control substance, the yeast would be added to create the reaction that produced the gas. To ensure best accuracy of fermentation, an initial test tube with all substances but yeast was performed to obtain an initial equilibrium time. Measuring of this time occurs till no more air is bubbling out of tube. This time is where we would mark are initial measuring line for each of the following reactions. As the gas pushes the water out of the test tube
1.a) A density-dependent factor is a type of limiting factor that limits the growth of a population. It is related to population density, meaning that it has a greater impact on a population as their population density increase.
The goal of this lab was to test the central limit theory. The central limit theory is a process in which sample means can be collected and put together in such a way that the average of the averages can be taken. This allows, once enough samples are taken, for the average of the population to match the average of the sample close enough for any differences to not have any effect for the purposes of our lab. The larger the sample and the more samples taken, the more accurate the average of averages of the sample becomes to the population sample.
Differential media was used to “distinguish different species of bacteria” (Madigan, Martinko, Stahl, Clark, 2012). While all species of the bacteria are able to survive on the medium, there are visible differences. Selective media was used to promote the growth of specific bacterial species by inhibiting others. Differential and selective media provide more information than a regular media would.