GIFSQ Tools · Module 1 — Food Composition & Proximate Analysis · Tool 20 of 500
Compare two proximate datasets side by side — same food, two labs, two batches, or before and after a change. Enter both sets to see the difference for each component.
Try sample values — fills the form with the worked example below.
Dataset A
Dataset B
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Moisture diff (B−A)
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Protein diff (B−A)
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Fat diff (B−A)
Equation: Difference for each component = value in dataset B − value in dataset A
Dataset sum = moisture + protein + fat + ash + fibre + carbohydrate.
Method: Proximate comparison, AOAC proximate analysis practice — the two datasets must come from the same method set and the same basis before their differences mean anything.
Assumptions: both datasets are on the same basis (both as received, or both dry basis) and were measured by the same methods.
Limitations: a difference is only meaningful next to the method's repeatability — small gaps may be noise, not a real change; datasets that do not sum near 100 % cannot be compared fairly.
Rounding: results to 2 decimal places; intermediate values are not rounded.
This is a calculation aid, not a laboratory report — confirm against your accredited method before citing a value.
Dataset sum = moisture + protein + fat + ash + fibre + carbohydrate.
Method: Proximate comparison, AOAC proximate analysis practice — the two datasets must come from the same method set and the same basis before their differences mean anything.
Assumptions: both datasets are on the same basis (both as received, or both dry basis) and were measured by the same methods.
Limitations: a difference is only meaningful next to the method's repeatability — small gaps may be noise, not a real change; datasets that do not sum near 100 % cannot be compared fairly.
Rounding: results to 2 decimal places; intermediate values are not rounded.
This is a calculation aid, not a laboratory report — confirm against your accredited method before citing a value.
Worked example: Dataset A: moisture 10.00, protein 12.00, fat 5.00, ash 2.00, fibre 3.00, carbohydrate 68.00 (sum 100.00). Dataset B: 12.00, 10.00, 6.00, 2.00, 4.00, 66.00 (sum 100.00). Differences (B−A): moisture +2.00, protein −2.00, fat +1.00, ash 0.00, fibre +1.00, carbohydrate −2.00 percentage points.
Enter values above to see results.
Compare like with like: same basis, same methods. A dataset that sums far from 100 % has a missing or double-counted component — fix the data before reading the differences. Tool 20 of 500 — GIFSQ
