Optimum Temperature Lab Report

The graph drawn is “ Rate of reaction against temperature of hydrogen peroxide”. From the graph , we can see that as the temperature increase , the rate of reaction increase as well , until the optimum temperature is reached which is pH 5 which the highest rate of reaction is reached. After this point , the rate of reaction started to decrease. This is because the enzyme begins to denature. It means that as the temperature increases , the activation energy is lower thus the rate of reaction increase. So the substrate can bind to enzyme easily. After the optimum temperature , the weak bonds holding the enzyme will break thus deactivating the active site. Changes in temperature may not only affect the shape of an enzyme but it may also change

In this experiment , a big knife was used to cut very small size of chicken liver which is 1 cm3 . However, this method of cutting the chicken liver was not very appropriate because it causes the chicken liver cut to vary in sizes. Some were bigger than the intended size and some were smaller. This has led to random errors and leading to imprecise results such as that observed in 70℃. The two final volume of foam was 28mL and 15mL respectively. There was a big difference between result shows that the result obtained was not precise and reliable. One of the chicken liver could be smaller causing lesser catalase to be released whereas another chicken liver could be larger therefore more catalase was released. When there was more enzyme available , more hydrogen peroxide could bind to the active sites of catalase leading to the higher rate of reaction calculated. One way to improve on this method is to weight the chicken liver after cutting it with a smaller knife. By weighing the chicken liver after cutting into 1 cm3 , the mass of chicken liver can be measured and avoid having different sizes of chicken liver which will cause the imprecise result in the experiment. Another way to improve the reliability of the result is also to have a larger sample size which we should use 5 chicken liver for each temperature instead of only two. This will reduces the effects of random error and leading to a more precise data thus more reliable