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Analytics · Method validation

Specificity, linearity, accuracy, precision, range, robustness — with real criteria

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formulary_notesTL3Regular20 Mar 2026#1

Specificity, linearity, accuracy, precision, range, robustness — with real criteria Writing it up because I had to work it out twice and would rather nobody else did.

I would like to understand what this number means before I repeat it anywhere.

A Janoshik report on a retatrutide lot gives 96.9% purity. The supplier certificate for the same lot states 98.2%. Both documents name a reversed-phase method; neither states the same gradient.

My question is not "who is right". It is: given that those two figures were produced by different methods, what is the largest difference I should expect from method alone, and at what point does a gap stop being explainable that way?

0 likes 4mo
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IMainwaringTL3Regular26 Mar 2026#2

the opening post is right about the mechanism and I think understates the practical bit.

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).

27 likes 4mo
SM
so.mbekiTL2 Moderator31 Mar 2026#3
IMainwaring, post #2: the opening post is right about the mechanism and I think understates the practical bit. 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… Go to post

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.

8 likes in reply to #2 4mo
LA
l.aaltonenTL3Regular4 Apr 2026#4
IMainwaring, post #2: the opening post is right about the mechanism and I think understates the practical bit. 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… Go to post

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

2 likes in reply to #2 4mo
WM
w.moreauTL2 Moderator8 Apr 2026#5

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.

0 likes 4mo
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FFaulknerTL3Regular11 Apr 2026#6

I disagree with the reply above, and I think the disagreement is substantive rather than terminological.

The distinction being drawn does not survive when you look at the published data for this specific question. I would be glad to be shown wrong on this, because the version I am arguing against is more convenient.

20 likes 4mo
HN
h.nwosuTL2 Moderator15 Apr 2026#7
w.moreau, post #5: 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. Go to post

Coming back to post #5, because the follow-up matters more than the original answer.

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.

5 likes in reply to #5 3mo
TS
taper_shiftTL3Regular18 Apr 2026#8

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 3mo
MN
ma.nascimentoTL2 Moderator21 Apr 2026#9

Worth separating two things that post #5 runs together.

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.

28 likes 3mo
CP
citation_peakTL3Regular24 Apr 2026#10

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.

14 likes 3mo
RI
r.ilungaTL2 Moderator27 Apr 2026#11

post #10 answers the question as asked. The question underneath it is different.

Stability-indicating method: one that can separate a compound from its degradation products. Critical for assay methods that claim to measure actual degradation (as opposed to purity, which is orthogonal).

13 likes 3mo
ED
e.dalgleishTL3Regular30 Apr 2026#12

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.

27 likes 3mo
MB
ma.balogunTL2 Moderator3 May 2026#13
h.nwosu, post #7: Coming back to post #5, because the follow-up matters more than the original answer. 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

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.

0 likes in reply to #7 3mo
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DOdendaalTL3Regular6 May 2026#14
r.ilunga, post #11: post #10 answers the question as asked. The question underneath it is different. Stability-indicating method: one that can separate a compound from its degradation products. Critical for assay methods that claim to measure actual degradation (as opposed to purity, which is orthogonal). Go to post

Coming back to post #12, because the follow-up matters more than the original answer.

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.

4 likes in reply to #11 3mo
CM
c.marchettiTL2 Moderator8 May 2026#15

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.

8 likes 3mo
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MJayawardenaTL3Regular11 May 2026#16

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.

20 likes 3mo
DN
d.nilsenTL2 Moderator14 May 2026#17

This follows post #14 rather than contradicting it.

Stability-indicating method: one that can separate a compound from its degradation products. Critical for assay methods that claim to measure actual degradation (as opposed to purity, which is orthogonal).

0 likes 2mo
SC
septum_checkTL1Member16 May 2026 · edited#18
c.marchetti, post #15: 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. Go to post

I read post #16 twice before replying, because I had assumed the opposite.

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.

2 likes in reply to #15 2mo
JF
j.falkTL2 Moderator19 May 2026#19

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

5 likes 2mo
BJ
b.jankowiakTL3Regular21 May 2026#20

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.

14 likes 2mo
PA
p.amankwahTL224 May 2026#21
EF
e.ferrariTL2 Moderator27 May 2026#22
formulary_notes, post #1: Specificity, linearity, accuracy, precision, range, robustness — with real criteria Writing it up because I had to work it out twice and would rather nobody else did. I would like to understand what this number means before I repeat it anywhere. A Janoshik report on a retatrutide lot gives 96.9% purity. The supplier certificate for the… Go to post

post #21 is right about the mechanism and I think understates the practical bit.

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.

15 likes in reply to #1 2mo
VN
v.nascimentoTL2 Moderator29 May 2026 · edited#23

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 2mo
NR
n.rahimiTL2 Moderator31 May 2026#24

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.

1 like 2mo
AI
a.ibarraTL2 Moderator3 Jun 2026#25

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.

22 likes 2mo
LW
l.wikstromTL2 Moderator5 Jun 2026#26
v.nascimento, post #23: 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. Go to post

post #25 answers the question as asked. The question underneath it is different.

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.

10 likes in reply to #23 2mo
CT
c.tullochTL2 Moderator8 Jun 2026#27

Coming back to post #25, because the follow-up matters more than the original answer.

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.

3 likes 2mo
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KLindqvistTL4 Moderator10 Jun 2026#28

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.

0 likes 2mo
NK
n.krastevTL2 Moderator12 Jun 2026#29

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).

0 likes 1mo
DO
d.oyelaranTL3Pharmacist15 Jun 2026 · edited#30

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.

29 likes 1mo