Plotting Data: A graph is constructed with the concentration of Vitamin C on the x-axis and the volume required to decolourise DCPIP on the y-axis.
Relationship: The graph typically shows a negative correlation; as the concentration of Vitamin C increases, the volume required to reach the endpoint decreases.
Interpolation: By locating the titration volume of an unknown sample (like fruit juice) on the y-axis, one can move horizontally to the line of best fit and then down to the x-axis to estimate the unknown concentration.
Standard Reference: It is established that of a Vitamin C solution contains of ascorbic acid.
Mass Calculation: The mass of Vitamin C required to decolourise a specific volume of DCPIP is calculated using:
Sample Analysis: Once the mass required to decolourise the DCPIP is known, the concentration in a juice sample is found by dividing that mass by the volume of juice used in the titration.
Shaking Consistency: The duration and intensity of shaking after each drop must be kept constant, as oxygen from the air can also oxidize Vitamin C, potentially skewing results.
Volume Precision: Using a burette instead of a simple pipette increases the precision of the volume measurements, reducing the percentage error in the final calculation.
Replication: Each titration should be repeated at least three times to identify anomalies and calculate a reliable mean volume.
| Feature | Known Standard | Unknown Sample (e.g., Juice) |
|---|---|---|
| Purpose | To create a calibration curve | To determine Vitamin C content |
| Concentration | Precisely known via serial dilution | Target of the investigation |
| Data Point | Used to plot the line of best fit | Used to interpolate from the curve |
Graph Interpretation: Always check the units on the axes. If the x-axis is in and the y-axis is in , ensure your final answer matches the requested units.
Control Variables: In long-answer questions, always mention shaking time and DCPIP volume as critical controls to ensure validity.
Safety First: DCPIP is an irritant; examiners look for mentions of wearing eye protection and avoiding skin contact in methodology descriptions.
Anomalies: If one titration result is significantly different from the others, exclude it from the mean calculation to improve accuracy.