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An Investigation to determine changes of membrane permeability in beetroot cells.

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An Investigation to determine changes of membrane permeability in beetroot cells Aim: To witness the changes of the solutions due to the release of coloured enzymes in the beetroot cells, in order to monitor the changes in membrane permeability. This would be done by, using a colorimeter tube to measure the amount of red colour that diffused out of the beetroot. Hypothesis: Several pieces of beetroot of the same length are being tested at different temperatures to see, which beetroot will allow the most enzymes to diffuse out. Referring to the factors that affect the rate of diffusion it can be argued that the piece of beetroot undergoing the test at the highest temperature, which in this case is 80�c would allow the chemicals to diffuse out of the beetroot faster than if they are tested at lower temperatures. ...read more.


In other words molecules at a higher temperature will diffuse faster than molecules at a lower temperature at a same given time. A Table Of The Amount Of Colour That Diffused Out Of The Beetroot Cell At A Given Temperature Temperature �C Time in water bath (min) Time in deionised water (min) Colour diffused (%) 80 1 30 21 60 1 30 71 40 1 30 92 20 1 30 49 5 1 30 82 Conclusion: The results for the practical does not relate to the data quoted in the hypothesis. In the hypothesis it was stated that the graph would show a gradual depreciation from the left side to the right, but what has actually happened is that the graph has shown no correlation. ...read more.


For example a beetroot left in a water bath at 60�c for over a minute could have had more colour diffused out than a beetroot in a water bath at 80�c for less than a minute. This happened because at times the stopwatch was started at the wrong time, and the beetroot was removed from the water bath late. From looking at the graph it cannot be stated that there are any anomalous results, since there is no correlation on the graph to suggest that one result is anomalous, while the other is not. The conclusion cannot really be reliable since the results are completely unreliable. The conclusion concludes that the hypothesis is correct but since this was not put into good practice there is no data to back it up. Felix Adams ...read more.

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