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.
Sample handling between despatch and injection posts 31–60
This is a continuation of a long topic, addressed by post number rather than by page. Start at post 1.
A note on how sample handling between despatch gets discussed rather than on sample handling between despatch itself: the confident posts get the replies and the careful ones get ignored, and the careful ones have been right more often.
Building on post #32 rather than restating it.
The most useful single question about a method: what would it fail to detect? Every method has an answer and few documents state it.
Someone should write this up properly, and it should probably not be me.
Post #30 put the caveat in the right place and I want to underline it.
Range and working range are different things and a certificate rarely distinguishes them. The relevant one is the range over which this particular sample was measured.
Take it as a starting point and not as a specification.
That is the distinction I keep failing to hold on to. Written down now.
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.
Worth stating the null on sample handling between despatch before we explain it: the observation may be nothing. That possibility deserves a sentence and usually does not get one.
Where I part company with post #34, and it is a narrow parting.
Where the sample handling between despatch discussion usually stalls is that nobody wants to say "I do not know" and everyone is willing to say "it varies". Those are the same sentence with different clothes on.
Adding the measurement that post #36 says would settle it.
The limit of quantitation determines what the impurity table can honestly contain. Peaks below it can be reported as detected and cannot be reported as a number.
One case, stated as one case.
Post #38 describes the usual case. This is about the unusual one.
Sample stability during analysis is part of validation and is routinely ignored. A preparation that degrades in the autosampler over eight hours produces a sequence-dependent result.
Stating my assumptions rather than smuggling them in.
The bit of sample handling between despatch that nobody enjoys is that the answer changes depending on what you are trying to decide with it. Say what the decision is and the thread will converge.
Post #39 answers the question as asked. The question underneath it is different.
The most useful single question about a method: what would it fail to detect? Every method has an answer and few documents state it.
Small point, but it is the one that usually catches people.
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.
Collapsed as off-topic by two members at trust level 3 or above
I came in to disagree and I am leaving without a disagreement.
Coming back to post #43, because the follow-up matters more than the original answer.
The documentation on sample handling between despatch is better than this thread and I say that as someone who has posted in the thread.
Post #43 is right about the mechanism and I think understates the practical bit.
Reframing sample handling between despatch slightly, because I think the disagreement is about the question rather than the answer. If the question is "does it happen", yes. If it is "how often", nobody here knows.
Where a pharmacopoeial monograph exists, a method that follows it inherits a great deal of assurance. Almost nothing discussed here has one.
The evidence for this is thinner than the way I have phrased it suggests.
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.
On reflection I would soften that slightly.
Answering the question post #47 raises rather than the one it answers.
A method transferred between laboratories needs a demonstration that it performs equivalently, not just a document describing it. Transfer is where a great many between-laboratory disagreements originate.
The claim about sample handling between despatch upthread is stronger than its source supports. I have read the source. The source says "associated with" and the post says "causes".
The distinction between a qualified instrument and a validated method is worth keeping. Both are needed and they fail in different ways.
Posted with less confidence than the sentence structure implies.
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.
The short version is the first sentence; the rest is why.
This follows post #50 rather than contradicting it.
Sample handling between despatch looks different depending on whether you are reading the primary literature or the summaries of it, and the difference is not in our favour.
The distinction between a qualified instrument and a validated method is worth keeping. Both are needed and they fail in different ways.
This is the sort of thing the wiki should carry and currently does not.
Everything in post #52 holds. The case it does not cover is the one I have.
Having read the whole sample handling between despatch 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.
The limit of quantitation determines what the impurity table can honestly contain. Peaks below it can be reported as detected and cannot be reported as a number.
It cost nothing to check and would have cost something not to.
Sample handling between despatch is worth one more sentence than it usually gets, and the sentence is the one about how the number was arrived at.
Adding thanks rather than a view. I do not have a view worth the space.
Answering the question post #56 raises rather than the one it answers.
Sample handling between despatch sits at the boundary between what this community can usefully discuss and what it cannot, and I think it falls on the discussable side, narrowly.