Purpose: To investigate the effect of light intensity on plant growth through counting the amount of oxygen produced.
Hypothesis: If the light intensity increases, than so does the rate of photosynthesis (which a major factor for plant growth). If the rate of photosynthesis increases, than the rate of Oxygen produced as a product also increases, if the rate of photosynthesis decreases than the exact opposite will happen to the amount of oxygen.
Scientific explanation: As the light intensity increases so will photosynthesis (which helps with plant growth). Photosynthesis helps with plant growth by providing starch to the plant. The starch is broken down into glucose by enzymes. Than the glucose will be used for plant growth. The equation for …show more content…
The reason behind this is that as the plant is closer to the Lamp, the light intensity increases, and as the light intensity increases, so does the rate of photosynthesis, so hence more oxygen is produced as a result. As the light intensity increases so does the rate of photosynthesis up to a point (since light intensity is a limiting factor). An example can be found in the graph when the distance of the Elodia from the plant is at 10 cm, the average number of NO’s were 10, but when the distance of the Elodia was 20cm away from the lamp, the average amount of NO’s were at 4. There was a decrease in the amount of NO bubbles, as the distance increased, this is because as the distance decreases, so does the light intensity, which means that the rate photosynthesis will be affected(it will decrease ). Hence the rate of the plant growth will decrease, which in turn would mean that as a result of what has happened, the amount of NO bubbles that will be released will decrease.
Evaluation:
The experiment was executed brilliantly, with accurate results, almost no sources of error’s could be detected in our experiment. The outcome was accurate and just how it was needed to be.
Sources of Error:
The error’s that were noticed in this experiment are not many, but they could have had n major effect on the outcome of this experiment. One was that the experiment could have been repeated a few more times. The other is that something might have gone wrong with the sensor and it could have gotten the wrong recordings, thus this would greatly affect our
Hypothesis: If the light intensity increases, than so does the rate of photosynthesis (which a major factor for plant growth). If the rate of photosynthesis increases, than the rate of Oxygen produced as a product also increases, if the rate of photosynthesis decreases than the exact opposite will happen to the amount of oxygen.
Scientific explanation: As the light intensity increases so will photosynthesis (which helps with plant growth). Photosynthesis helps with plant growth by providing starch to the plant. The starch is broken down into glucose by enzymes. Than the glucose will be used for plant growth. The equation for …show more content…
The reason behind this is that as the plant is closer to the Lamp, the light intensity increases, and as the light intensity increases, so does the rate of photosynthesis, so hence more oxygen is produced as a result. As the light intensity increases so does the rate of photosynthesis up to a point (since light intensity is a limiting factor). An example can be found in the graph when the distance of the Elodia from the plant is at 10 cm, the average number of NO’s were 10, but when the distance of the Elodia was 20cm away from the lamp, the average amount of NO’s were at 4. There was a decrease in the amount of NO bubbles, as the distance increased, this is because as the distance decreases, so does the light intensity, which means that the rate photosynthesis will be affected(it will decrease ). Hence the rate of the plant growth will decrease, which in turn would mean that as a result of what has happened, the amount of NO bubbles that will be released will decrease.
Evaluation:
The experiment was executed brilliantly, with accurate results, almost no sources of error’s could be detected in our experiment. The outcome was accurate and just how it was needed to be.
Sources of Error:
The error’s that were noticed in this experiment are not many, but they could have had n major effect on the outcome of this experiment. One was that the experiment could have been repeated a few more times. The other is that something might have gone wrong with the sensor and it could have gotten the wrong recordings, thus this would greatly affect our