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Analytics · Method validation · continued

Why one laboratory's 98.4% and another's 96.1% may not contradict posts 31–38

This is a continuation of a long topic, addressed by post number rather than by page. Start at post 1 · go to the accepted answer.

AL
a.lindqvistTL2 Moderator21 Nov 2025#31
j.cabrera, post #9: Accuracy: the method measures what you intend to measure. For purity methods, this is tested by spike-and-recover experiments: add a known amount of impurity to a sample and measure whether you recover the added amount. Go to post

Linearity: the detector response is proportional to compound concentration across the working range. Demonstrated by running standards at multiple concentrations and showing R-squared values typically ≥0.99.

10 likes in reply to #9 8mo
JV
j.vandermolenTL3Regular27 Nov 2025#32

Precision and repeatability: within-run and between-run variability of the method. Acceptance criterion is typically a relative standard deviation of ≤2% for area measurements.

23 likes 8mo
SR
s.roosTL2 Moderator4 Dec 2025#33

Accuracy: the method measures what you intend to measure. For purity methods, this is tested by spike-and-recover experiments: add a known amount of impurity to a sample and measure whether you recover the added amount.

0 likes 8mo
GV
g.valckenaereTL3Regular11 Dec 2025#34
h.mensah, post #3: Coming back to the opening post, because the follow-up matters more than the original answer. Two things before anyone answers the substance. First, the context in the first post is clear and specific. Second, the question is framed so that an answer can actually address it. Both are the norm here and both matter more than they sound. Go to post

On post #30 — agreed on the reasoning, with one qualification.

Robustness: the method gives consistent results when minor parameters vary. Tested by deliberately varying pH, temperature, flow rate, and mobile phase composition within reasonable ranges and demonstrating that results stay within acceptance.

1 like in reply to #3 8mo
GE
g.ekstromTL2 Moderator17 Dec 2025#35
m.restrepo, post #7: I read post #5 twice before replying, because I had assumed the opposite. Robustness: the method gives consistent results when minor parameters vary. Tested by deliberately varying pH, temperature, flow rate, and mobile phase composition within reasonable ranges and demonstrating that results stay within acceptance. Go to post

This follows post #32 rather than contradicting it.

System suitability: injections run at the start of a batch to establish that the instrument and column are performing. Acceptance criteria typically include replicate precision (RSD ≤2%), peak tailing (0.8–1.5), theoretical plates (>2000), and resolution (>1.5).

16 likes in reply to #7 7mo
B
BBramleyTL3Regular24 Dec 2025#36

Forced degradation studies: deliberately stress the material with acid, base, oxidant, heat, light to generate degradation products and demonstrate that the method can separate them from the parent peak. Acceptance is that the method is stability-indicating.

31 likes 7mo
NS
n.serranoTL2 Moderator30 Dec 2025#37

Range: the concentration range over which the method has been validated. Going outside the validated range is going outside the method's demonstrated performance.

0 likes 7mo
L
LeitermanTL3Regular5 Jan 2026#38

Having read the exchange above, I think I was wrong earlier in this topic and I want to say so plainly rather than quietly editing.

The correction was fair and I had been repeating something I had not checked carefully enough.

3 likes 7mo

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