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Photosynthesis factors

Study the influence of different factors (light, temperature, plant type) on photosynthesis intensity by measuring the rate of CO₂ consumption with FizziQ Connect.

Photosynthesis is not a fixed process: its intensity varies depending on many environmental parameters. Light intensity, light wavelength, temperature, and even the plant species all influence how quickly a plant consumes CO₂. By designing a controlled experiment that varies one factor at a time while keeping all others constant, you can quantify these effects and understand the biological mechanisms behind them.

Activity overview:

The student designs and carries out a controlled experiment to study the influence of one factor on photosynthesis rate, measuring CO₂ consumption with the SCD40 sensor.

Level:

High school

Marie-Anne Dejoan

Author:

Duration (minutes) :

50

What students will do :

- Design an experimental protocol with identified variables (independent, dependent, controlled)
- Formulate a testable hypothesis about the influence of a factor on photosynthesis
- Perform multiple measurements under controlled conditions
- Calculate and compare CO₂ consumption rates under different conditions
- Draw conclusions based on data and relate them to biological mechanisms

Scientific concepts:

- Limiting factors of photosynthesis
- Enzymatic activity and temperature
- Absorption spectrum of photosynthetic pigments
- Light compensation point
- Experimental design and controlled variables

Sensors:

- SCD40 sensor (CO₂ in ppm, temperature, humidity)
- O₂ sensor (optional)

Material needed:

- Smartphone or tablet with FizziQ Connect
- SCD40 sensor
- O₂ sensor (optional)
- M5 Stack module
- Sealed transparent chamber
- Fresh leaves
- Light sources of varying intensity and color
- Thermometer and water bath

Experimental procedure:

  1. Choose the factor you wish to study: light intensity, light color, temperature, or plant type.

  2. Identify the variables: the independent variable (the factor you vary), the dependent variable (CO₂ consumption rate), and the controlled variables (everything else held constant).

  3. Prepare the basic setup: connect the SCD40 sensor to the M5 Stack module, connect FizziQ Connect, and verify the readings.

  4. Perform a first control measurement: place the plants in the sealed chamber in daylight for 10 minutes. Calculate the CO₂ consumption rate (slope of the CO₂ curve).

  5. Modify the chosen factor for the second condition. For example: reduce light intensity (move the lamp farther or use a filter).

  6. Perform the second measurement under the same conditions (same duration, same plant volume, same chamber), changing only the tested factor.

  7. Repeat for at least a third condition (for example: bright, medium, and dim light; or 5°C, 20°C, 35°C).

  8. For each condition, calculate the slope of the CO₂(t) curve during the linear phase. This slope represents the CO₂ consumption rate.

  9. Plot a summary graph: CO₂ consumption rate versus the studied factor.

  10. Compare your results with your initial hypothesis. Conclude on the influence of the factor and propose explanations based on the underlying biology.

Expected results:

Results depend on the factor studied. For light intensity: CO₂ consumption rate increases with intensity up to a plateau (pigment saturation). For light color: red and blue light give the highest rates, green the lowest. For temperature: rate increases up to 25-35°C then drops. For plant type: C4 plants (corn) are faster than C3 plants (spinach) at high light and temperature.

Scientific questions:

- Why is photosynthesis more efficient under red and blue light than under green light?
- How does temperature influence enzyme activity, and why is there an optimum?
- What is the light compensation point and why does it matter for plant ecology?
- How would increasing CO₂ concentration affect the photosynthesis rate?
- Why is it important to vary only one factor at a time?
- How do your results relate to the global carbon cycle?

Scientific explanations:

Photosynthesis depends on several environmental factors that act on the two phases of the process: the light-dependent reactions (in the thylakoids) and the Calvin cycle (in the stroma).


Light intensity directly affects the light-dependent reactions. More photons means more photosystems activated, more ATP and NADPH produced, and faster CO₂ fixation. Above a saturation intensity, the rate plateaus.


Light wavelength is crucial because photosynthetic pigments do not absorb all colors equally. Chlorophyll a and b absorb strongly in red (660-680 nm) and blue (430-450 nm) but reflect green, which is why leaves appear green.


Temperature affects enzyme activity, particularly RuBisCO (the enzyme that fixes CO₂). Activity increases with temperature up to an optimum (typically 25-35°C), then decreases rapidly as enzymes denature.


The light compensation point is the light intensity at which photosynthesis exactly balances respiration. Below this point, the plant is a net CO₂ producer even in daylight.


In an experimental project, it is essential to vary only one factor at a time while keeping all others constant. This is the principle of controlled experimentation that ensures any observed effect is due to the tested variable.

Extension activities:

- Why is photosynthesis more efficient under red and blue light than under green light?
- How does temperature influence enzyme activity, and why is there an optimum?
- What is the light compensation point and why does it matter for plant ecology?
- How would increasing CO₂ concentration affect the photosynthesis rate?
- Why is it important to vary only one factor at a time?
- How do your results relate to the global carbon cycle?

Frequently asked questions:

Q: How do I maintain a constant temperature during the experiment?
R: Use a water bath (container filled with water at the desired temperature) in which you immerse the sealed chamber.

Q: The CO₂ consumption rate is very low or zero.
R: Ensure the leaves are fresh, green, and not wilted. Use strong light. If the rate is still low, try a larger mass of plant material.

Q: My results are inconsistent between trials.
R: Environmental conditions may have changed between trials. Repeat under the same conditions and calculate averages.

Q: Can I test multiple factors simultaneously?
R: This is not recommended for an initial study because it makes it impossible to determine which factor caused the observed change. Test one factor at a time.

➡️ Download this science experiments directly in the FizziQ App (Activities > ➕ > Catalog)

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