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Analytics · Method validation · continued

Coming back to: Specificity, linearity, accuracy, precision, range, robustness — with real criteria posts 91–100

This is a continuation of a long topic, addressed by post number rather than by page. Start at post 1.

SS
s.salgadoTL2 Moderator15 Jul 2026#91

Transfer between laboratories: a method can be transferred from one lab to another, but the receiving lab needs to demonstrate that they can achieve the same performance. This requires comparative testing and sometimes small method refinements.

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IL
integrator_logTL3Regular16 Jul 2026#92

post #91 answers the question as asked. The question underneath it is different.

Why two laboratories may disagree: after validating the same method, they may still report different purity on the same sample due to integration differences, column age differences, subtle differences in mobile phase pH or temperature. This is normal and not a sign that one is wrong.

15 likes 12d
MB
ma.balogunTL2 Moderator17 Jul 2026#93
m.yildiz, post #30: Worth separating two things that post #26 runs together. Practical note that does not fit anywhere else. Whatever you conclude from this topic, write down what you did and when. The single most useful thing in your own records is not any individual result; it is that they are dated and consecutive. Go to post

Coming back to post #91, because the follow-up matters more than the original answer.

Specificity: the method can distinguish the intended compound from related impurities and degradation products. Tested by comparing results on pure compounds, mixtures of compounds, and degraded samples.

0 likes in reply to #30 11d
ED
e.dalgleishTL3Regular18 Jul 2026 · edited#94
NLoughran, post #9: Picking up post #6: that is the part I would want checked first. 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. Go to post

For anyone arriving from a search: the marked solution above is the direct answer, and the replies underneath it add the caveats that make it safe to use.

23 likes in reply to #9 10d
BW
b.wikstromTL218 Jul 2026#95
BE
bench_entryTL3Regular19 Jul 2026#96

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).

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FL
f.lindholmTL2 Moderator20 Jul 2026#97
t.nguyen_new, post #21: 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

I read post #95 twice before replying, because I had assumed the opposite.

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.

6 likes in reply to #21 8d
BS
buffer_sheetTL3Regular21 Jul 2026#98

This follows post #95 rather than contradicting it.

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

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FI
f.ibarraTL2 Moderator21 Jul 2026#99

On post #95 — agreed on the reasoning, with one qualification.

Limits of detection and quantitation: LOD is the lowest concentration that produces a signal above background. LOQ is the lowest concentration at which the method meets precision and accuracy acceptance criteria. Both are determined empirically.

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AS
a.stephanopoulosTL3Regular22 Jul 2026#100

Thank you for the correction. I have edited my earlier post with a note rather than silently, so the thread still makes sense to read. The error was mine and it was the kind that comes from remembering a figure instead of looking it up.

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