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1.4.10 Practical Skill: Controlling Variables & Calculating Uncertainty

infoNote

In enzyme experiments, it is essential to control variables and calculate uncertainty to ensure reliable and accurate results.

Controlling Variables

  1. Independent Variable: This is the variable you deliberately change, such as temperature, pH, enzyme concentration, or substrate concentration.
  2. Dependent Variable: This is what you measure in the experiment, often the rate of reaction.
  3. Control Variables: These are factors that must be kept constant to ensure a fair test. Common control variables in enzyme experiments include:
  • Temperature (if not the independent variable): Use a water bath to maintain a constant temperature.
  • pH: Use a buffer solution to keep the pH stable.
  • Concentration of Substrate and Enzyme (if not the independent variable).
  • Volume of Solutions: Keep volumes of enzyme and substrate consistent across all trials.
  1. Control Experiments: Use control setups, such as a sample without the enzyme, to confirm that any observed changes are due to enzyme activity.

Calculating Uncertainty

Uncertainty is a measure of the accuracy of the equipment used and should be considered in experimental results:

  1. Equipment Precision: The uncertainty for each piece of equipment depends on its precision. For example:
  • Measuring Cylinder: ±0.5 cmÂł
  • Balance: ±0.01 g
  • Stopwatch: ±0.1 s
  1. Calculating Percentage Uncertainty:
  • Formula:
Percentage Uncertainty=(Uncertainty of EquipmentMeasurement Taken)×100\text{Percentage Uncertainty} = \left( \frac{\text{Uncertainty of Equipment}}{\text{Measurement Taken}} \right) \times 100
  • Example: If you measure 10 cmÂł with a measuring cylinder that has an uncertainty of ±0.5 cmÂł:
Percentage Uncertainty=(0.510)×100=:highlight[5\text{Percentage Uncertainty} = \left( \frac{0.5}{10} \right) \times 100 = :highlight[5%]
  1. Reducing Uncertainty:
  • Use more precise equipment if available.
  • Increase the size of measurements, as this can reduce the percentage uncertainty.
infoNote

Importance

Controlling variables and calculating uncertainty are essential for obtaining reliable and accurate results. Controlled variables ensure that the experiment tests only the chosen independent variable, while calculating uncertainty allows you to assess the reliability of your data. This is crucial for valid scientific conclusions in enzyme experiments.

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