All revision notes topics

Yields, atom economy and experimental errorsEdexcel A-Level Chemistry: Revision notes

Section 1

Measurement uncertainty and error

Every measurement has an uncertainty, the interval within which the true value is expected to lie. Apparatus uncertainties are often given as ±: for example a burette ±0.05 cm³ per reading, a 25.0 cm³ pipette ±0.06 cm³, a balance ±0.001 g per reading.

Percentage uncertainty = (absolute uncertainty ÷ measured value) × 100.

When a value is found from two readings (a titre, or a mass by difference) the absolute uncertainties add: a titre has ±0.10 cm³, so for 20.00 cm³ the percentage uncertainty is 0.10 ÷ 20.00 × 100 = 0.50%.

Percentage error compares the result with an accepted value: (|result − accepted value| ÷ accepted value) × 100.

Key termsuncertaintypercentage uncertaintypercentage error
Common mistake

Using ±0.05 cm³ for a titre. A titre is the difference of two readings, so the uncertainty is ±0.10 cm³.

Section 2

Sources of error and minimising percentage error

Random errors cause scatter in repeats and are reduced by repeating and averaging. Systematic errors, such as a balance that is not zeroed or heat lost in calorimetry, shift every result the same way and are not reduced by repeating.

To reduce percentage uncertainty:

  • use a larger quantity, because the same absolute uncertainty is a smaller fraction;
  • use apparatus with a smaller uncertainty, such as a balance reading to 0.001 g or a pipette instead of a measuring cylinder;
  • weigh by difference, noting that this doubles the absolute uncertainty.

If the difference between a result and the accepted value is larger than the total percentage uncertainty, a systematic error is probably present. Quantities in excess, such as acid in excess, do not need to be measured precisely.

Key termsrandom errorsystematic error
Exam tip

Quote the final percentage uncertainty by adding the percentage uncertainties of each measurement used in the calculation.

Section 3

Percentage yield

The percentage yield compares the mass of product actually obtained with the maximum possible:

percentage yield = (actual mass ÷ theoretical mass) × 100.

Worked example: 5.00 g of salicylic acid (138.0 g mol⁻¹) gives 4.80 g of aspirin (180.0 g mol⁻¹), 1 : 1. n = 5.00 ÷ 138.0 = 0.0362 mol; theoretical mass = 0.0362 × 180.0 = 6.52 g; yield = 4.80 ÷ 6.52 × 100 = 73.6%.

Yields are below 100% because of incomplete reactions, side reactions, losses in transferring and purifying, and equilibrium.

Key termspercentage yieldtheoretical yield
Common mistake

Using the mass of the wrong reactant. Identify the limiting reactant before calculating the theoretical yield.

Section 4

Atom economy

Percentage atom economy = (molar mass of desired product ÷ sum of molar masses of all products) × 100.

It is calculated from the balanced equation alone. It measures how much of the reactant mass ends up as the desired product, so a high atom economy means less waste. It is not the same as yield: a reaction can have a high yield but a low atom economy.

Worked example: CH₄ + H₂O → CO + 3H₂. Desired product H₂ = 3 × 2.0 = 6.0. Total products = 28.0 + 6.0 = 34.0. Atom economy = 6.0 ÷ 34.0 × 100 = 17.6%.

Addition reactions, in which everything joins into one product, have an atom economy of 100%. Uses for by-products raise the sustainability of a process.

Key termsatom economy
Common mistake

Dividing by the mass of the reactants of interest rather than by the sum of all products.

Section 5

Risks and hazards

A hazard is something with the potential to cause harm; a risk is the chance that the harm occurs, combined with its severity. In practical work:

  • identify the hazards (for example irritant 2.0 mol dm⁻³ HCl, corrosive concentrated acids, flammable solvents, hot apparatus, glassware, gas pressure);
  • decide how likely and how serious harm is;
  • choose precautions: eye protection, gloves, a fume cupboard for toxic fumes, heating flammable liquids with a water bath, supporting glassware, not sealing a flask that is heated or producing gas.

A good risk assessment concludes whether the risk is acceptably low once the precautions are taken.

Key termshazardrisk

Must know

  • Percentage uncertainty = absolute uncertainty ÷ measured value × 100; for two readings, double the uncertainty.
  • Use larger quantities and more precise apparatus to reduce percentage error.
  • Percentage yield = actual ÷ theoretical × 100.
  • Atom economy = M(desired product) ÷ sum of M(all products) × 100.
  • Link each hazard to a precaution and conclude about the risk.

That's the notes covered.

Carry on to the next subtopic.

Exam questions on Yields, atom economy and experimental errors

  1. Hydrogen for fuel cells is made industrially by steam reforming of methane. In the first stage, CH₄(g) + H₂O(g) → CO(g) + 3H₂(g). In a second stage the carbon monoxide reacts with more steam: CO(g) + H₂O(g) → CO₂(g) + H₂(g). Use relative formula masses: H₂ 2.0, H₂O 18.0, CH₄ 16.0, CO 28.0, CO₂ 44.0.
    Calculate the percentage atom economy for making hydrogen by the two stages combined, CH₄ + 2H₂O → CO₂ + 4H₂.2 marks
  2. A student evaluates the apparatus used in a titration practical. The 50.0 cm³ burette has an uncertainty of ±0.05 cm³ for each reading, the 25.0 cm³ pipette has an uncertainty of ±0.06 cm³, and the balance has an uncertainty of ±0.001 g for each reading.
    A student weighs a sample by difference: the container and solid has a mass of 5.432 g and, after the solid is tipped out, the container has a mass of 4.287 g. Calculate the mass of solid transferred and its percentage uncertainty.2 marks
  3. Aspirin, C₉H₈O₄, is made by reacting salicylic acid with ethanoic anhydride: C₇H₆O₃ + (CH₃CO)₂O → C₉H₈O₄ + CH₃COOH. A student reacts 5.00 g of salicylic acid with excess ethanoic anhydride and obtains 4.80 g of pure aspirin. Use M(salicylic acid) = 138.0, M(aspirin) = 180.0 and M(ethanoic acid) = 60.0 g mol⁻¹.
    Calculate the percentage yield of aspirin.3 marks
See the full worksheet

Written by the Exaim team, led by Shaun Daswani (Head of Upper Secondary, Improve ME Institute; MSc Financial Mathematics, Imperial College London; BSc, UCL) and Jason Daswani (operational lead, Improve ME Institute; LSE).