KHAEMENES ACADEMY · CHEMISTRY 11 · WEEK 28 · DAY 04

Solubility Data Investigation

Use solubility curves and supplied ion data to test saturation and precipitation predictions.

Safety boundary

Use solubility curves, supplied datasets, and simulations only. Do not perform unsupervised precipitation chemistry or mix household chemicals.

Explicit chemistry instruction

Preserve raw temperature, concentration, and solubility-limit data before classifying samples.

Graph or read the solubility curve first, then compare the sample state with the equilibrium limit.

For ion-product cases, preserve all concentrations before calculating Qsp.

Vocabulary: solubility curve; saturation; ion product; classification; uncertainty.

Worked example

At 30°C a curve gives 45 g/100 g water. A measured 43 g dissolved sample is near saturation but below the modeled limit.

Guided question

Which measurement uncertainty could change a near-boundary saturation classification?

Independent work

  1. Preserve raw curve/data points.
  2. Classify at least four samples.
  3. Calculate one Qsp comparison.
  4. Record one uncertainty and revision.

Investigation / Data Lab

Preserve raw solubility/ion data, calculations, classification, uncertainty, and one revision.

Misconception check

Near-boundary classifications should acknowledge measurement uncertainty.

Formative check

Why preserve raw curve values before classification?

Reveal response

So the conclusion remains traceable to the evidence and boundary.

Mentor evidence conference

Ask Archaemenes to audit saturation language, Ksp/Qsp distinctions, and whether the data justify the classification.

Teacher guidance

Foundation: Use supplied tables.

Core: Integrate curve and ion-product evidence.

Extended: Analyze ambiguous near-boundary cases.