Experiment to investigate factors affecting the rate of reaction between magnesium ribbon and hydrochloric acid Rates of Reaction: Investigation Experiment to investigate factors affecting the rate of reaction between magnesium ribbon and hydrochloric acid. Chemical reactions between substances are caused by the collision of particles. More collisions mean a quicker rate of reaction. In the reaction between hydrochloric acid and magnesium ribbon, the chemical reaction takes place when the magnesium
Part I 1. What do you know about the mitochondria? The main function of the mitochondria is to convert fuel into a form of energy the cell can use. Specifically, the mitochondria is where pyruvate --derived from glucose-- is converted into ATP (Adenosine triphosphate) through cellular respiration. Cellular respiration involves four stages: glycolysis, the grooming phase, the citric acid cycle, and oxidative phosphorylation. The final two stages listed occur in the mitochondria. Part II 2. What are the
Method Description of what I did (including where and what equipment used) Why was this method necessary? (How will it help me to answer the title?) Problems I had Suggestions for improvements / extension of study Cross-section: Done in a group, Primary Data To measure the cross sectional area, we stretched out a tape measure across the river from one side of the bank to the other. Starting at 0cm, we put a metre ruler into the water, ensuring that it touched the ground, and first
Physics Lab Report SIXTO LEONEL GUANO ROBAYO [ Group S-13] 05/12/2015 MEASURE THE POTENTIAL DIFFERENCE (V) AND CURRENT (A) VALUES BY USING A VARIETY OF RESISTORS, REMAINING CONSTANT EMF TO FIND OUT ITS INTERNAL RESISTANCE. Academic year: 2015-16 Title Measure the potential difference (V) and current (A) values by using a variety of resistors, remaining constant EMF to find out its internal resistance. Introduction “Batteries and cells have an internal resistance (r) which is measures
higher frequency. The trend in the graphs that will be later plotted will not be directly proportional. Graph 1 ( concentration vs time ) has a negative correlation and graph 2 ( concentration vs rate ) has a positive correlation. This is because as the concentration is increased the time will decrease, that’s why graph 1 will have a negative correlation. Graph 2 will have a positive correlation as rate will be 1/time, therefore the graph flips. Neither of the graphs will be directly
regression line is an accurate representation of the average of the collated result. The equation of the line in figure five was also calculated, which was y=-0.0005x3+0.0083x2-0.0538x +0.1039. This polynomial equation allows for the point on the graph at which the internal solute reaches equal osmotic pressure to be calculated. Once this equation was plugged into the graphing application of a calculator and the point of inflection was found, the point of osmotic pressure was found, which is 5.53%
value being 6.626x10-34Js. The Value of Planck’s constant was found with the use of LED’s, the provided wavelength was used to calculate the frequency, then the experiment allowed us to find the LED’s Turn on voltage. The findings were plotted to a graph where, start up voltage was on the Y axis and
mixed. The bag was placed in a beaker of tap water and I2KI solution for 30 minutes. The contents of the bag and the beaker were placed in test tubes and tested through Benedict’s Test for the presence of aldoses - both test tubes tested positive. What was happening when the dialysis bag was in the beaker? The dialysis bag’s material acted as an artificial “membrane”, exercising selective permeability (allowing certain membranes to pass in and out of the bag). Originally, the bag contained starch
This is to compare with the other diagrams to see what the change is and if the reaction rate has decreased or increased. The first one is to see what will happen if I change the temperature of the solution. As the temperature increases the speed and the power at which the acid particles hit each other increases, making the number of successful collisions
performance graph that indicates the best validation performance and number of epochs required to achieve the minimum mean square error level. The number of epochs required for training the aforesaid neural network to achieve mean square error (MSE) is 668. The training time is 3 seconds and the training algorithm used in the analysis model is Levenberg – Marquardt training algorithm. Figure 3.2 shows the training state of the FFBP ANN model, the training state condition is shown by 3 different graphs in