Investigating how length of wire affect current flowing in circuit

 

Vrikshabandhan and janmashtami celebration

Investigating photosynthesis in plants

 

Investigating Photosynthesis in a Plant Leaf Using the Starch Test

Aim

To investigate whether photosynthesis has occurred in a plant leaf by testing the leaf for the presence of starch.

Introduction

During photosynthesis, green plants use light energy to produce glucose from carbon dioxide and water. Some of the glucose produced is converted into starch and stored in the leaf. Therefore, testing a leaf for starch can provide evidence that photosynthesis has taken place.

Materials Required

Green plant, beaker, water, test tube, ethanol, forceps, iodine solution and white tile.

Procedure

The plant was first kept in darkness for about 24–48 hours to remove previously stored starch. It was then placed in light for several hours.

A leaf was removed from the plant and placed in boiling water briefly. The leaf was then heated in ethanol using a hot-water bath until the chlorophyll was removed. It was rinsed in warm water to soften it and placed on a white tile. A few drops of iodine solution were added to the leaf.

Observations

The leaf changed from the yellow-brown colour of iodine to blue-black.

Results

The blue-black colour indicated that starch was present in the leaf. This provided evidence that glucose had been produced and stored as starch during photosynthesis.

Precautions

Ethanol is flammable, so it should not be heated directly over a flame. It should be warmed using a water bath under appropriate laboratory supervision. Forceps should be used when handling the heated leaf.

Conclusion

The starch test demonstrated that photosynthesis had occurred in the leaf. The blue-black colour after adding iodine solution confirmed the presence of starch, providing evidence that the leaf had carried out photosynthesis in the presence of light.

Sampling plant species in school science park

 

Sampling Plant Species in the School Using the Quadrat Method

Aim

To investigate the distribution and abundance of different plant species present in the school grounds using the quadrat sampling method.

Introduction

A quadrat is a square frame of a known area used by ecologists to sample organisms that do not move, such as plants. It allows scientists to estimate the abundance and distribution of plant species without counting every plant in the entire area.

Materials Required

Quadrat frame, measuring tape, identification sheet, notebook, pencil and calculator.

Procedure

A suitable grassy area within the school grounds was selected for investigation. A quadrat was placed at a randomly selected location to reduce sampling bias. All the different plant species found inside the quadrat were identified and the number of individuals of each species was recorded.

The quadrat was then placed at several other randomly selected locations within the same study area. The observations were recorded each time. The data collected from all quadrats were compared, and the mean number of each plant species per quadrat was calculated.

Variables

The independent variable was the sampling location. The dependent variable was the number and type of plant species recorded. The size of the quadrat, method of counting and total sampling area were kept consistent.

Observations and Results

Different plant species were observed in different numbers across the sampled areas. Some species occurred frequently in several quadrats, while others were less common. This indicated that plant species were not distributed equally throughout the school grounds.

Precautions

The quadrats were positioned randomly to avoid bias. The same quadrat size and counting method were used throughout the investigation. Plants on the boundary were counted using the same agreed rule each time.

Conclusion

The quadrat method provided a practical way to estimate the abundance and distribution of plant species in the school grounds. Repeating the sampling at several random locations made the results more representative and reliable.