Investigation To Find Out How Amount of Light Affects Photosynthesis.

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INVESTIGATION TO FIND OUT HOW AMOUNT OF LIGHT AFFECTS PHOTOSYNTHESIS

Introduction:

Plants release oxygen as a waste product of photosynthesis. In water plants, this forms bubbles visible in the water, and these bubbles can be encouraged to come out of the cut end of a stem. We are going to find out how rate of bubbling varies with different intensities of light. The test-tube will be subjected to different intensities of light, as the distance that the lamp will be placed form the test-tube will be varied.

Hypothesis/Predictions:

The higher the concentration of light the greater the rate of photosynthesis.

Apparatus List:

Test-tube

Bench lamp

Meter ruler

Canadian pondweed

1% Sodium hydrogen carbonate solution

Method:

  1. Choose a fresh, bright green shoot of Canadian pond weed, and make a sloping cut across its stem to provide a length that would come about ½ to ¾ up a test-tube. Nearly fill the test tube with 1% sodium hydrogen carbonate solution (in affect this is water with lots of Co2 )
  2. Put tube into test tube rack, and place it as close to a bench lamp as possible. Leave it to settle down whilst you construct a table for results.
  3. Start close to lamp and move lamp back at 10cm intervals, doing counts at each distance. Leave 5 minutes at each new position for plant to settle down before starting readings. Take three readings at every distance. Calculate the average number of bubbles at each distance.
  4. Below the table, record any observations you make during the  

          experiment about the oxygen bubbles.

Safety:

The safety issues to consider would be to avoid contact with the bulb because it may be very hot, and to only handle the bench lamp from the base. Also do not allow the chemical solution of sodium hydrogen carbonate to make skin contact. Safety glasses must be worn at all times.         

ANALYSING EVIDENCE

Results:

Table of results:

                      Distance From Test-tube (cm)

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Graphs:

Analysis of results:

        In the graph: ‘to show how the distance of the light from the test-tube affects the temperature’, the best-fit line travels diagonally down and to the right. There is a strong negative correlation in this graph.  

 This indicates that distance and temperature are inversely proportional i.e. as ...

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