Chlorella is a photosynthetic, single-celled protoctist that lives in ponds. A group of students decided to investigate the effect of temperature on respiration in Chlorella. The students were provided with: • test-tubes • metal foil • flat-bottomed tubes with lids • glass beakers • hot water supply • thermometers • timer • pH probe and meter • hydrogencarbonate indicator solution in a closed container • a pump connected to an oxygen supply • a pump connected to a carbon dioxide supply • a suspension of Chlorella with a known cell density. Carbon dioxide is an acidic gas so it causes the pH of the hydrogencarbonate indicator solution to change. The indicator solution changes colour as pH changes. [Figure 1.1] shows the range of colours seen in hydrogencarbonate indicator exposed to different carbon dioxide concentrations. atmospheric carbon dioxide (0.04%) pH 8.4 yellow orange red magenta purple increasing carbon dioxide decreasing carbon dioxide concentration in indicator solution concentration in indicator solution Fig. 1.1 The students made a series of colour standards from yellow to purple by bubbling different volumes of carbon dioxide gas into the indicator solution. The pH was measured with a pH meter for each colour and the solutions were sealed in flat-bottomed tubes labelled with their pH. The students used the indicator solution to investigate the effect of temperature on carbon dioxide production during respiration in Chlorella.
- (a)(i)Suggest a hypothesis that the students could test in this investigation.[1]
- (a)(ii)State the independent variable and the dependent variable in this investigation. independent variable dependent variable[2]
- (a)(iii)Describe how the students could use the apparatus provided to investigate the effect of temperature on carbon dioxide production during respiration in Chlorella. Your method should be set out in a logical order and be detailed enough to let another person follow it. Details of making the colour standards should not be included in your method.[7]
- (b)(i)State how the students could calculate the rate of respiration from their results.[1]
- (b)(ii)Sketch a graph on [Fig. 1.2] to show the expected result of the effect of temperature on the rate of respiration of Chlorella. Include suitable axes labels and units on your graph.[3]
- (c)(i)Complete Table 1.1 by calculating the rate of carbon dioxide production for the cell density of 40 arbitrary units. The students used Pearson's linear correlation to test the hypothesis: As cell density increases the rate of carbon dioxide production increases.[1]
- (c)(ii)Suggest a null hypothesis for this test.[1]
- (c)(iii)The Pearson's linear correlation coefficient (r) was calculated as 0.85. State what the calculated value, r = 0.85, indicates about the results.[2]
- (c)(iv)The students concluded that the results showed that their hypothesis is correct. Explain why this conclusion may not be valid.[2]
This question uses a diagram from the original paper, which isn't shown here. Open the full paper from the past papers archive to see it.
Mark scheme
Marking points from the official mark scheme (Oct/Nov 2019). The mark or mark type is shown in brackets.
- [1] as temperature increases, the carbon dioxide increases / increases and then decreases/levels off / AW;
- [2] independent variable: temperature; dependent variable: colour / pH;
- [7] any 7 of: 1 ref. to setting up at least 5 water-baths at different temperatures ; 2 ref. to a suitable range of temperatures with units ; 3 same / stated / known, volume / concentration of hydrogencarbonate / indicator (solution) to each test-tube ; 4 ref. to adding oxygen into indicator solution; 5 ref. to indicator starting at same colour or pH in all test-tubes ; 6 ref to foil, mix, (immediately) start timing / mix, (immediately) foil, (immediately) start timing; 7 use same / stated / known, volume of Chlorella ; 8 ref. to putting indicator and Chlorella in separate tubes in a water-bath to reach desired temperature / fixed time; 9 mix Chlorella and indicator and ref. to a specific end point to be measured ; 10 (ref. to a control using), killed / boiled / dead, Chlorella (of same volume); 11 (if time/pH) at least three replicates / repeats and finding mean (of time or pH) or identify / eliminate / remove anomalies or (if colour) ref. to using at least three replicates / repeats; 12 ref. to low risk ;
- [1] 1 time (to reach standard colour / pH) ;
- [3] temperature on x-axis ; labelled axis and units ; appropriate curve for named axis ; e.g. rate of respiration (s-1 or min-1) temperature / °C (graph showing optimum curve) OR rate of respiration (s-1 or min-1) temperature / °C (graph showing increasing linear trend)
- [1] 0.31;
- [1] there is no, (significant) correlation / relationship, between the cell density and the rate of carbon dioxide production or the correlation / relationship between cell density and the rate of carbon dioxide production is not significant ;
- [2] strong; positive correlation ;
- [2] any 2 of: 1 correlation does not mean causation; 2 fewer than number of paired observations (recommended) for Pearson test ; 3 no replicates / no repeats / only done experiment once ; 4 only narrow range of cell densities; 5 bacteria / other microorganisms present that are respiring;
Write your answer and get it marked
On Oracle Prep you can write or photograph your own answer and have it marked by AI against this mark scheme, with feedback on what you missed.
Sign up free →