The necessity of carbon dioxide for photosynthesis can be investigated using a similar starch-testing approach, but by manipulating the availability of to different leaves.
The plant is initially de-starched by keeping it in the dark for 24 hours to remove pre-existing starch. This ensures that any starch detected later is a direct result of photosynthesis during the experiment.
Two leaves are then selected: one is enclosed in a sealed container (e.g., a conical flask) with a substance that absorbs carbon dioxide, such as potassium hydroxide solution. The other leaf is enclosed in a similar container but without the absorbent, serving as a control.
After several hours in bright light, both leaves are removed and tested for starch. The leaf deprived of carbon dioxide will show no starch (yellow-brown), while the control leaf, with access to , will test positive (blue-black), demonstrating carbon dioxide's role.
To show that chlorophyll is necessary for photosynthesis, a variegated leaf is used, which naturally possesses both green (chlorophyll-containing) and white (chlorophyll-lacking) areas. This allows for a direct comparison within a single leaf.
The variegated leaf is exposed to bright light for several hours, allowing photosynthesis to occur in its green regions. Unlike the light and experiments, de-starching is often omitted if the focus is solely on comparing green vs. white areas, assuming the plant has been photosynthesizing normally.
The leaf is then subjected to the starch test procedure. The green areas of the leaf, where chlorophyll is present, will turn blue-black, indicating starch production. Conversely, the white areas, lacking chlorophyll, will remain yellow-brown, confirming that chlorophyll is indispensable for photosynthesis.
The iodine test for starch is a crucial component of investigations into the requirements for photosynthesis. It involves several steps to prepare the leaf for clear observation of color changes.
First, the leaf is immersed in boiling water for a few minutes. This step serves to kill the plant tissue, denature enzymes that might break down starch, and soften the leaf's cell walls, making it more permeable.
Next, the leaf is transferred to a boiling tube containing ethanol and heated in a water bath. Ethanol effectively removes the green chlorophyll pigment, which would otherwise mask the color change of the iodine solution. Safety is paramount here, as ethanol is highly flammable, necessitating a water bath instead of a direct flame.
After decolorization, the brittle leaf is rinsed in warm water to rehydrate and soften it, preventing it from breaking when spread out. Finally, the softened leaf is spread flat on a white tile and covered with iodine solution.
A positive result for starch is indicated by a color change from the iodine's characteristic yellow-brown to blue-black. The absence of starch results in the iodine solution retaining its original yellow-brown color.
The CORMS evaluation framework is a systematic approach to designing and assessing practical investigations, ensuring reliability and validity of results. It stands for Change, Organism, Repeat, Measure, and Same (control variables).
C (Change) refers to the independent variable, the single factor that is intentionally altered between experimental setups. For instance, in the light experiment, it's the presence or absence of light.
O (Organism) specifies the biological material used, emphasizing the need for consistency. This means using organisms of the same species, age, size, or from the same plant to minimize biological variation.
R (Repeat) highlights the importance of conducting multiple trials or repeating the investigation several times. Repetition helps to ensure the reliability of the results and allows for the calculation of averages, reducing the impact of random errors.
M (Measure) refers to the dependent variable, what is being observed or quantified, and how it is measured. This includes both the method of measurement (M1) and the timeframe or frequency of measurement (M2), such as observing color change after one day.
S (Same) represents the control variables, all other factors that must be kept constant across all experimental setups to ensure that only the independent variable is affecting the outcome. Examples include temperature, light intensity (when not the independent variable), and water availability.