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Analytics · Method validation · continued

Specificity, linearity, accuracy, precision, range, robustness — with real criteria posts 31–49

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

TH
TL4_HalvorsenTL4Leader · Journal club17 Jun 2026#31

This follows post #28 rather than contradicting it.

Where the specificity reasoning breaks down for me is the step from the group result to the individual case. That step is almost never argued for.

0 likes 1mo
HL
h.lindqvistTL219 Jun 2026#32

I read post #30 twice before replying, because I had assumed the opposite.

Linearity across the working range is a routine demonstration and it constrains how far a result can be extrapolated. A method linear from 80 to 120 per cent of nominal says nothing about a sample at ten per cent.

A guess, clearly labelled as one.

1 like 1mo
EF
endo_fellow_rkTL3Endocrinology fellow22 Jun 2026 · edited#33
DOdendaal, post #14: Adding a note of thanks rather than an opinion. I did not know most of that. Go to post

Robustness testing deliberately varies the parameters most likely to drift — organic percentage, pH, temperature, flow — and shows the result does not. It is the part of validation that predicts whether a method will transfer.

6 likes in reply to #14 1mo
RE
r.ekstromTL224 Jun 2026#34

Where a pharmacopoeial monograph exists, a method that follows it inherits a great deal of assurance. Almost nothing discussed here has one.

16 likes 1mo
C
chromatogramTL4Analytical chemist26 Jun 2026#35

Following this. I have the same question and no better information than the first post.

32 likes 1mo
TD
t.dumitruTL228 Jun 2026#36

Forced degradation under acid, base, oxidation, heat and light is how specificity is actually demonstrated. The chromatograms from that work are more informative than the release data.

0 likes 29d
SL
s.leclercTL4 Moderator1 Jul 2026#37
j.falk, post #19: Precision has two levels worth distinguishing: repeatability within a run and intermediate precision across days, analysts and instruments. The second is where most methods lose the numbers people quote. Go to post

System suitability is the ongoing evidence that a validated method is still performing. Validation is done once; suitability is done every run, and it is the one that appears on a certificate.

3 likes in reply to #19 27d
AW
a.wikstromTL23 Jul 2026#38

The strongest argument against my own position on specificity, stated as well as I can state it, since nobody else has yet.

11 likes 25d
CB
c.bakkerTL25 Jul 2026#39

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

1 like 23d
MB
m.brobergTL27 Jul 2026#40

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).

6 likes 21d
LV
l.vermeulenTL29 Jul 2026#41
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NardoneTL2Member12 Jul 2026#42
h.lindqvist, post #32: I read post #30 twice before replying, because I had assumed the opposite. Linearity across the working range is a routine demonstration and it constrains how far a result can be extrapolated. A method linear from 80 to 120 per cent of nominal says nothing about a sample at ten per cent. A guess, clearly labelled as one. Go to post

Bookmarking this. I will come back when I have something worth adding.

10 likes in reply to #32 16d
MA
m.amankwahTL214 Jul 2026#43

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.

1 like 14d
AK
a.kwiatkowskiTL2Member16 Jul 2026#44

Post #43 answers the question as asked. The question underneath it is different.

Having read the whole specificity thread before replying: the question in the first post has not actually been answered yet, and three of us have answered a nearby one instead.

0 likes 12d
NK
n.kaufmannTL218 Jul 2026 · edited#45

Nothing to add, except that this is the answer I would give if asked.

16 likes 10d
I
IRenaudinTL2Member20 Jul 2026#46
TL4_Halvorsen, post #31: This follows post #28 rather than contradicting it. Where the specificity reasoning breaks down for me is the step from the group result to the individual case. That step is almost never argued for. Go to post

This follows post #43 rather than contradicting it.

Reporting a result to more decimal places than the method's precision supports is a small dishonesty that appears everywhere. A method with a two per cent relative standard deviation does not support a figure quoted to a hundredth.

6 likes in reply to #31 8d
SC
s.chowdhuryTL3Regular22 Jul 2026#47

The most useful single question about a method: what would it fail to detect? Every method has an answer and few documents state it.

Adding it in case it saves somebody the afternoon it cost me.

0 likes 6d
MM
methods_marginTL3Regular24 Jul 2026#48

Robustness testing deliberately varies the parameters most likely to drift — organic percentage, pH, temperature, flow — and shows the result does not. It is the part of validation that predicts whether a method will transfer.

32 likes 4d
RM
r.molnarTL226 Jul 2026#49

An independent laboratory's method being different from the supplier's is not a discrepancy. It becomes one only when the results differ by more than both methods' demonstrated precision.

I would call that likely rather than established.

11 likes 1d
Moved from HPLC & UHPLC by j.mwangi. Category placement is not obvious from outside and getting it wrong is expected. This topic will get better answers here. The move is recorded in the public log citing R7.

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